SAS assignment - Information Systems
EARTHQUAKES
Year Month Day State Magnitude
1964 3 28 Alaska 9.2
1965 2 4 Alaska 8.7
1957 3 9 Alaska 8.6
1938 11 10 Alaska 8.2
1946 4 1 Alaska 8.1
1899 9 10 Alaska 8
1787 5 2 Puerto Rico 8
2002 11 3 Alaska 7.9
1996 6 10 Alaska 7.9
1986 5 7 Alaska 7.9
1899 9 4 Alaska 7.9
1868 4 3 Hawaii 7.9
1857 1 9 California 7.9
2003 11 17 Alaska 7.8
1987 11 30 Alaska 7.8
1929 3 7 Alaska 7.8
1906 4 18 California 7.8
1892 2 24 California 7.8
1988 3 6 Alaska 7.7
1958 7 10 Alaska 7.7
1900 10 9 Alaska 7.7
1975 2 2 Alaska 7.6
1972 7 30 Alaska 7.6
1979 2 28 Alaska 7.5
1943 11 3 Alaska 7.4
1872 3 26 California 7.4
1992 6 28 California 7.3
1965 3 30 Alaska 7.3
1959 8 18 Montana 7.3
1958 4 7 Alaska 7.3
1952 7 21 California 7.3
1937 7 22 Alaska 7.3
1922 1 31 California 7.3
1904 8 27 Alaska 7.3
1886 9 1 South Carolina 7.3
1873 11 23 California 7.3
2007 12 19 Alaska 7.2
2005 6 15 California 7.2
1992 4 25 California 7.2
1980 11 8 California 7.2
1975 11 29 Hawaii 7.2
1947 10 16 Alaska 7.2
1932 12 21 Nevada 7.2
1923 1 22 California 7.2
1912 7 7 Alaska 7.2
2003 3 17 Alaska 7.1
1999 10 16 California 7.1
1957 3 14 Alaska 7.1
1957 3 9 Alaska 7.1
1954 12 16 Nevada 7.1
1953 1 5 Alaska 7.1
1949 4 13 Washington 7.1
1940 5 19 California 7.1
1934 5 4 Alaska 7.1
1927 11 4 California 7.1
1927 10 24 Alaska 7.1
1915 10 3 Nevada 7.1
1901 12 31 Alaska 7.1
1812 12 21 California 7.1
1994 9 1 California 7
1991 8 17 California 7
1966 8 7 Alaska 7
1957 3 16 Alaska 7
1957 3 12 Alaska 7
1910 9 9 Alaska 7
1908 5 15 Alaska 7
1899 9 23 Alaska 7
1899 4 16 California 7
1868 3 29 Hawaii 7
1823 6 2 Hawaii 7
2003 6 23 Alaska 6.9
1989 10 18 California 6.9
1983 10 28 Idaho 6.9
1951 8 21 Hawaii 6.9
1812 12 8 California 6.9
2005 6 14 Alaska 6.8
2004 6 28 Alaska 6.8
2001 2 28 Washington 6.8
1954 12 16 Nevada 6.8
1954 8 24 Nevada 6.8
1938 1 23 Hawaii 6.8
1925 6 29 California 6.8
1918 4 21 California 6.8
1910 8 5 Oregon 6.8
1898 4 15 California 6.8
1872 12 15 Washington 6.8
1871 2 20 Hawaii 6.8
1868 10 21 California 6.8
1838 6 California 6.8
2007 8 2 Alaska 6.7
2006 10 15 Hawaii 6.7
2002 10 23 Alaska 6.7
1994 1 17 California 6.7
1987 11 24 California 6.7
1983 11 16 Hawaii 6.7
1899 12 25 California 6.7
2008 5 2 Alaska 6.6
2008 4 16 Alaska 6.6
2005 6 17 California 6.6
2003 12 22 California 6.6
2003 2 19 Alaska 6.6
1971 2 9 California 6.6
1954 7 6 Nevada 6.6
1934 3 12 Utah 6.6
1925 6 28 Montana 6.6
1895 10 31 Missouri 6.6
1882 11 8 Colorado 6.6
2010 1 10 California 6.5
2007 8 15 Alaska 6.5
1992 6 28 California 6.5
1987 11 24 California 6.5
1965 4 29 Washington 6.5
1959 8 18 Wyoming 6.5
1954 12 21 California 6.5
1934 1 30 Nevada 6.5
1929 10 6 Hawaii 6.5
1911 7 1 California 6.5
1865 10 8 California 6.5
1836 6 10 California 6.5
2007 12 26 Alaska 6.4
1983 5 2 California 6.4
1979 10 15 California 6.4
1933 3 11 California 6.4
1932 6 6 California 6.4
1901 3 3 California 6.4
1892 4 21 California 6.4
1892 4 19 California 6.4
2003 1 16 Oregon 6.3
1947 11 23 Montana 6.3
1935 10 19 Montana 6.3
1915 6 23 California 6.3
1898 3 31 California 6.3
1897 6 20 California 6.3
1890 2 24 California 6.3
1843 1 5 Arkansas 6.3
1992 4 23 California 6.2
1986 7 21 California 6.2
1984 4 24 California 6.2
1980 5 25 California 6.2
1975 3 28 Idaho 6.2
1973 4 26 Hawaii 6.2
1986 7 8 California 6.1
1975 6 30 Wyoming 6.1
1966 6 28 California 6.1
1944 7 12 Idaho 6.1
1934 6 8 California 6.1
1926 10 22 California 6.1
1922 3 10 California 6.1
2008 2 21 Nevada 6
2004 9 28 California 6
1993 9 21 Oregon 6
1980 5 27 California 6
1935 10 31 Montana 6
1987 10 1 California 5.9
1966 9 12 California 5.9
1935 10 12 Montana 5.9
1897 5 31 Virginia 5.9
2011 8 23 Virginia 5.8
2009 1 24 Alaska 5.8
1984 11 23 California 5.8
1980 1 27 California 5.8
1980 1 24 California 5.8
1975 8 1 California 5.8
1952 8 22 California 5.8
1931 8 16 Texas 5.8
1992 6 29 Nevada 5.7
1979 8 6 California 5.7
1969 10 2 California 5.7
2011 11 6 Oklahoma 5.6
2007 10 31 California 5.6
2005 7 26 Montana 5.6
1992 9 2 Utah 5.6
1991 6 28 California 5.6
1987 10 4 California 5.6
1959 7 21 Arizona 5.6
2008 7 29 California 5.5
1952 4 9 Oklahoma 5.5
1940 12 24 New Hampshire 5.5
1940 12 20 New Hampshire 5.5
1926 6 29 California 5.5
1909 5 16 North Dakota 5.5
1884 8 10 New York 5.5
2008 4 18 Illinois 5.4
2008 4 30 California 5.4
2007 8 14 Hawaii 5.4
1989 8 8 California 5.4
1968 11 9 Illinois 5.4
1955 10 24 California 5.4
1937 3 9 Ohio 5.4
2011 8 23 Colorado 5.3
2005 7 15 Hawaii 5.3
2003 8 15 California 5.3
2002 2 6 Alaska 5.3
2002 6 17 California 5.3
1995 2 3 Wyoming 5.3
1983 10 7 New York 5.3
1967 8 9 Colorado 5.3
1957 3 22 California 5.3
1783 11 30 New Jersey 5.3
2009 4 14 Hawaii 5.2
2007 5 9 California 5.2
2005 6 12 California 5.2
2003 2 22 California 5.2
1998 9 25 Pennsylvania 5.2
1980 7 27 Kentucky 5.2
1916 2 21 North Carolina 5.2
2005 7 17 Hawaii 5.1
2002 4 20 New York 5.1
1987 6 10 Illinois 5.1
1966 1 23 New Mexico 5.1
1964 3 28 Nebraska 5.1
1916 10 18 Alabama 5.1
1909 9 27 Indiana 5.1
1909 5 26 Illinois 5.1
1904 3 21 Maine 5.1
1877 11 15 Nebraska 5.1
1867 4 24 Kansas 5.1
2008 4 26 Nevada 5
2005 8 10 New Mexico 5
2004 1 7 Wyoming 5
2000 9 3 California 5
1986 1 31 Ohio 5
1980 5 18 Washington 5
1865 8 17 Tennessee 5
2005 6 16 California 4.9
2004 7 12 Oregon 4.9
2002 5 14 California 4.9
2006 7 27 Alaska 4.8
2002 9 3 California 4.8
1884 9 19 Ohio 4.8
2011 2 28 Arkansas 4.7
2009 5 18 California 4.7
2005 9 22 California 4.7
2003 8 27 Hawaii 4.7
2003 1 25 California 4.7
2003 3 11 California 4.6
2003 4 29 Alabama 4.6
2002 3 16 California 4.6
2002 6 18 Indiana 4.6
1994 1 16 Pennsylvania 4.6
1975 7 9 Minnesota 4.6
1947 8 10 Michigan 4.6
1931 12 17 Mississippi 4.6
2009 1 30 Washington 4.5
2009 1 9 California 4.5
2007 5 8 Montana 4.5
2006 10 20 California 4.5
2005 10 31 Montana 4.5
2003 12 9 Virginia 4.5
2003 8 21 Wyoming 4.5
2002 6 29 Oregon 4.5
1969 11 20 West Virginia 4.5
1928 11 3 Tennessee 4.5
1914 3 5 Georgia 4.5
1911 6 2 South Dakota 4.5
2007 8 9 California 4.4
2002 11 11 South Carolina 4.4
1984 4 23 Pennsylvania 4.4
2009 3 30 California 4.3
2007 7 2 California 4.3
2007 7 20 California 4.2
2006 3 22 Montana 4.2
2005 5 1 Arkansas 4.2
2004 6 28 Illinois 4.2
2003 5 25 California 4.2
2002 10 22 Wyoming 4.2
1962 4 10 Vermont 4.2
1930 10 19 Louisiana 4.2
1901 5 17 Ohio 4.2
2005 12 19 New Mexico 4.1
2005 2 10 Arkansas 4.1
2005 5 6 California 4.1
2003 2 2 California 4.1
2002 9 21 Washington 4.1
2011 12 31 Ohio 4
2004 4 7 Wyoming 4
2003 4 30 Arkansas 4
2003 9 5 California 4
2003 5 24 California 4
2003 6 6 Kentucky 4
2003 5 25 South Dakota 4
2003 8 27 California 3.9
2003 5 5 Virginia 3.9
2002 11 24 California 3.9
2006 10 2 Maine 3.8
2006 2 10 Colorado 3.8
2004 8 29 Wyoming 3.8
2003 5 26 California 3.8
2003 8 26 New Jersey 3.8
2009 8 18 Colorado 3.7
2004 9 17 Kentucky 3.7
2003 5 30 Washington 3.7
2002 6 16 Washington 3.7
2006 1 2 Illinois 3.6
2004 8 19 Alabama 3.6
2003 6 20 Washington 3.6
2003 10 7 California 3.6
2003 7 22 Massachusetts 3.6
2002 12 24 California 3.6
2009 4 30 California 3.5
2009 6 8 California 3.5
2009 3 8 California 3.5
2003 10 19 California 3.5
1976 3 11 Rhode Island 3.5
2003 5 26 California 3.4
2003 9 13 California 3.4
2003 9 22 Idaho 3.3
2002 12 25 New York 3.3
2009 2 3 New Jersey 3
2004 5 30 California 3
STUDY_GPA
Student ID First name initial Last name Section of course Number of units enrolled Average study time (hrs) GPA
1005 J Bryant 02 10 21.3905810305805 1.93
1026 E Fisher 02 18 10.3853081243044 2.19
1045 R Turner 02 19 48.4251792637749 2.23
1063 T Howard 01 9 18.2552781888541 3.3
1071 J Tucker 01 14 49.7217615645946 2.42
1082 T Morgan 02 12 15.3488136000693 2.42
1096 T Harper 02 19 49.9904009783596 2.45
1108 A Brown 02 11 24.3060307769599 2.48
1120 J Baker 02 16 44.4984565766055 2.5
1181 L Ruiz 02 12 19.9089451259509 2.5
1189 J Harper 01 14 27.2490592008685 2.51
1239 M Wagner 01 9 24.233338045065 2.55
1267 D Lane 01 12 31.785767735348 2.59
1282 S Torres 02 10 17.4133241537089 2.64
1328 D Wells 02 19 12.002264590935 2.67
1352 K Mitchell 02 16 4.79060675613145 2.68
1388 C Walker 02 16 20.2794704587569 2.7
1411 R Morris 01 10 12.370293152691 2.7
1413 C Payne 02 14 24.2290329561704 2.71
1424 M Baker 01 14 29.8518051187749 2.71
1443 S Simpson 02 9 20.467548315631 2.72
1510 T Brooks 02 14 8.88855650037926 2.8
1520 C Torres 01 9 22.2990472523025 2.81
1601 G Adams 02 15 5.08597791897411 2.81
1613 D Bryant 02 9 4.58988179293921 2.82
1653 L Thompson 02 19 31.1315156999657 2.84
1659 J Perry 02 17 8.45163334927132 2.84
1704 A Dunn 02 15 3.31750039351988 2.85
1727 J Ramirez 02 10 2.84729390118611 2.88
1755 P Martinez 01 12 16.6276466006542 2.9
1756 J Patterson 02 14 36.365025029222 2.91
1757 J Reyes 02 12 41.0194587381647 2.92
1772 A Turner 02 11 37.4631024964448 2.92
1776 M Cooper 02 10 8.52947953507746 2.93
1786 A Olson 01 19 60.0219821971944 2.94
1796 M Nichols 01 15 24.7207118909437 2.95
1798 K Mason 02 9 1.67731118280315 2.95
1799 G Henderson 01 18 59.7213950104645 2.96
1808 A Alexander 02 13 20.5476893277595 3.01
1835 C Murray 02 12 17.2261906067031 3.01
1850 J Torres 01 18 69.006830730013 3.04
1852 M Sanders 02 15 3.92617419731159 3.05
1855 T Jones 01 16 28.9293290269232 3.06
1865 T Wagner 02 16 13.1669322392749 3.06
1894 M Simmons 02 10 20.8605891749545 3.06
1901 D Hughes 02 15 52.5440076810978 3.07
1942 K Carter 02 16 4.9004919826521 3.1
1957 J Lee 01 18 37.8764075040242 3.11
1979 A Carter 02 13 18.6107233216105 3.12
2004 D Miller 01 18 28.6449562421278 3.12
2006 E Wilson 02 17 42.8240131800175 3.12
2013 K Wallace 01 13 37.6129010350503 3.12
2038 S Stewart 02 16 37.3388364335237 3.13
2109 M Hayes 01 14 48.5919820417613 3.14
2146 M Black 01 13 39.5620557100335 3.18
2149 R Green 02 11 27.0813987856179 3.19
2153 J Porter 02 13 22.8940398809007 3.19
2170 T Marshall 01 17 27.8930154875354 3.22
2200 M Warren 02 19 52.6544661408544 3.22
2238 A Owens 01 16 24.5317441562804 3.23
2251 D Sanders 01 19 59.8351559917606 3.23
2260 T Ruiz 02 12 32.055948867023 3.24
2269 K Robertson 02 13 32.0361842313019 3.26
2316 S Olson 02 16 23.8113399161079 3.27
2318 G Hamilton 01 19 34.303662007816 3.28
2321 J Jones 01 18 19.6967666562166 3.28
2328 S Owens 01 16 51.4119204843472 3.31
2358 T Alexander 02 10 11.7851834328776 3.31
2383 P Walker 01 9 34.07996281147 3.33
2385 S Berry 01 14 31.0836398862692 3.33
2436 M Carter 01 19 38.2478119625001 2.8
2444 D Grant 01 11 25.047224925853 3.34
2457 J Williams 02 17 7.8876386163233 3.34
2501 T Moore 01 14 26.3961110945773 3.35
2504 E Kennedy 01 15 24.444920666723 3.37
2507 T Sullivan 01 10 37.3275889411231 3.37
2521 T Shaw 01 12 5.56323820751311 3.38
2570 S Grant 01 10 14.9214295418567 3.39
2579 M Davis 01 15 25.3580320255635 3.41
2609 W Adams 02 15 56.3369529444431 3.42
2619 J Griffin 01 10 13.018143369359 3.44
2632 T Knight 02 10 19.5883612793816 3.45
2639 D Alexander 01 13 24.9214522172331 3.46
2641 M Martin 02 14 25.1103695114657 3.46
2696 J Collins 01 16 33.8069615754331 3.47
2728 G Freeman 01 17 50.46272839022 3.47
2733 B Evans 02 13 12.0053978883686 3.48
2740 K Reed 02 15 12.3589813957731 3.49
2758 L James 02 18 29.070915686931 3.5
2762 A Willis 02 11 26.1777980873258 3.51
2844 R Hart 02 10 6.19117108275703 3.53
2883 D Cole 02 13 36.725504087622 3.56
2890 T Palmer 01 10 36.8172115990041 3.57
2902 J Hill 01 15 7.21129000988383 3.9
2924 S Simmons 01 16 27.0528410193756 3.6
2943 S Owens 01 18 0.772861922519683 3.6
3002 S Bailey 01 13 19.2784711682603 3.6
3015 K Gonzales 02 9 16.0939577743849 3.61
3017 C Morris 01 17 29.6487942918431 3.61
3037 A Graham 02 15 5.1160903811064 3.62
3084 S Brown 01 10 26.3505161476091 3.65
3100 K Henry 02 13 35.84344645722 3.65
3101 C Sullivan 01 12 35.8775733699452 3.67
3108 P Reynolds 02 19 49.3276103126479 3.67
3118 A West 02 19 55.4203801916076 3.67
3121 R Gardner 02 16 15.1430343497279 3.68
3138 M Washington 01 9 5.29455999624662 3.69
3157 A Mcdonald 01 15 49.4377824992117 2.61
3175 J Stephens 01 11 35.968454523463 3.71
3185 E Flores 01 12 12.5723281491419 3.71
3196 A Hughes 01 12 18.9506039106988 3.71
3202 T Grant 02 13 37.1019883095762 3.72
3274 K Tucker 01 15 25.1037943922467 3.75
3292 J Lewis 02 12 21.5346141110801 3.79
3337 S Cole 02 17 8.36880542727597 3.82
3340 J Edwards 01 9 18.396564214675 3.87
3382 T Davis 01 14 36.6028122928007 3.89
3407 K Scott 01 16 14.6139501391975 3.9
3438 J Johnson 02 10 17.8011159583931 3.9
3478 R Rice 02 16 44.442488768344 3.91
3480 J Martin 01 10 33.3352708119598 3.93
3491 J Ellis 01 11 19.1091214600527 3.94
HW #2
Important Note1: For all questions below assume the test level is 𝜶𝜶 = 𝟎𝟎. 𝟎𝟎𝟎𝟎
Important Note2: For each question which asks you to do a hypothesis test, you need to (1) Write down
your null and alternative hypothesis clearly and mention which test is appropriate in your word report,
(2) Write a code in SAS to execute the test and (3) give the results of the test in your word report.
1. The United States Geological Survey provides data on earthquakes of historical interest. The SAS
data set called EARTHQUAKES contains data about earthquakes with a magnitude greater than
2.5 in the United States and its territories. The variables are year, month, day, state, and
magnitude.
(a) California and Alaska are the two states with the highest number of earthquakes in the country.
Create a new data set that includes only these two.
Note: From here and on, use the California and Alaska data you created from part a) to answer questions.
(b) You are interested in the following statistics for the magnitude of earthquake:
- Mean
- Median
- Standard deviation
- Minimum and maximum
- 25th and 75th percentiles
Create a table that shows the above statistics across different states within each year. In particular,
your table must have years at the first column and it must break down the results across different
states in the second column. In order to make the table short, further assume you are interested only
in recent years and want to create a table that shows the desired statistics from 2002 to 2011.
(c) Modify you SAS code in (b) such that the results for each year is shown in a separate table.
(d) Now, assume you want to show the same results in part (b) but with the difference that years are
shown is the first column and the states are shown in the top row.
Please answer the following questions using all years in the data:
(e) You are interested in how the magnitude of earthquakes is trending over time for each state. In
one graph, plot two time series plots, side by side, which shows the trend of average magnitude
of earthquakes over time for the two states.
(f) Test the following null hypothesis: “the average magnitude of earthquakes in California is equal
to that of Alaska”.
2. Suppose that at a local university the study guidelines for the College of Science and Math are to
study two to three hours per unit per week. The instructor of the class, Orientation to the Statistics
Major, takes these guidelines very seriously. He asks students to record their study time each
week, and at the end of the term he compares their average study time per week to their term
GPA. The SAS data set called STUDY_GPA contains student identification information, orientation
course-section number, number of units enrolled, average time studied, and term GPA.
(a) Graph the histogram for hours of study. Use the start point=0 and bandwidth=5. Also, overlaid to
this graph, display the plots for the kernel density and the best fitting normal curve. Using an
eyeballing approach, can we say the hours of study follows a normal distribution?
(b) Check statistics of the average hours of study using proc means and proc univariate. What
statistics does proc univariate report that proc means does not?
(c) Conduct a hypothesis test to check whether there exists a significance correlation between units
enrolled, hours of study and GPA for section 2. What is your conclusion? Doe correlation mean
that one variable causes the other?
3. A study was conducted to see whether taking vitamin E daily would reduce the levels of
atherosclerotic disease in a random sample of 500 individuals. Clinical measurements, including
thickness of plaque of the carotid artery (taken via ultrasound), were recorded at baseline and at
two subsequent visits in a SAS data set called VITE. Patients were divided into two strata according
to their baseline plaque measurement.
(a) First, double-click on VITE file to check column names. If your column names are long (e.g., labels
are shown instead of column names), then go the menu and change the setting to column names.
(b) Use proc content to see variable names as well as variable labels to better understand each
variable. Note that the current data is in long format. We first want to transform the data to wide
format so that we can conduct certain statistical analyses. See the following reference materials
to understand the difference between long and wide formats. Basically, long formats have
repeated observations for a given person, whereas wide formats record those observations
column-wise. Use proc transpose command to so that plague values for each visit (0, 1, 2) are
recorded in 3 separate columns as opposed to 3 rows, by ID and treatment
a. Reference1:https://stats.idre.ucla.edu/sas/modules/how-to-reshape-data-long-to-wide-
using-proc-transpose/
b. Reference2: https://data.library.virginia.edu/reshaping-data-from-wide-to-long/
(c) Assume there were no placebo group (i.e., treatment = 0) in your data set. Conduct a test to see
whether there is a difference in plaque level before treatment and after the second visit? Interpret
your results.
https://stats.idre.ucla.edu/sas/modules/how-to-reshape-data-long-to-wide-using-proc-transpose/
https://stats.idre.ucla.edu/sas/modules/how-to-reshape-data-long-to-wide-using-proc-transpose/
https://data.library.virginia.edu/reshaping-data-from-wide-to-long/
(d) Now, considering the fact that there is indeed a control group in your dataset, conduct a new test
to check whether there is a difference in plaque level before treatment and after the second visit.
Interpret your results.
(Hint: You need to make sure that the reduction in plaque level (if any) is indeed due to taking
vitamin E. This is how having the control group in the study helps. In particular, you need to test
whether the reduction in plaque level for treatment group is significantly less than that for control
group)
(e) Which of the tests in part (c) and (d) is more reliable? Explain.
(Hint: This should be clear from the hint given above)
(f) One of the critical factors in randomizing the subjects in control and treatment groups is to make
sure that the subjects are perfectly randomized in all aspects. Using the last two columns (i.e.,
alcohol and cigarette usage) of the original (long format) data, conduct two tests to check whether
subjects are randomized perfectly. If they are perfectly randomized, then we should not expect
much difference in alcohol (or cigarette) consumption for control vs. treatment groups.
VITE
Subject ID 0=baseline, 1=first year, and 2=second year Strata 1=baseline plaque 0.60mm+ and 2=baseline plaque below 0.60mm 0=placebo and 1=vitamin E Plaque measurement (mm) HDL cholesterol (mg/DL) LDL cholesterol (mg/DL) triglycerides mg/dL Systolic blood pressure (mm/Mg) Diastolic blood pressure (mm/Mg) Number of alcoholic drinks per day Number of cigarettes smoked per day
1 0 1 0 0.8073 42 127 149 106 70 1 0
1 1 1 0 0.758 44 143 49 131 109 2 0
1 2 1 0 0.8098 40 158 98 136 87 2 0
2 0 1 0 0.7576 39 138 211 157 100 1 6
2 1 1 0 0.6866 46 147 29 154 108 2 6
2 2 1 0 0.8231 53 161 177 65 70 3 6
3 0 1 0 0.7522 53 133 163 169 106 1 0
3 1 1 0 0.7857 36 146 198 172 91 2 0
3 2 1 0 0.8031 39 119 140 140 90 3 0
4 0 1 0 0.8163 46 139 247 142 103 0 0
4 1 1 0 0.6004 46 139 47 131 93 0 0
4 2 1 0 0.9694 40 150 153 164 96 0 0
5 0 1 0 0.7977 47 152 182 163 101 0 3
5 1 1 0 0.9573 45 145 90 73 89 0 5
5 2 1 0 0.7973 41 142 133 150 59 0 0
6 0 1 0 0.818 46 147 326 145 101 0 0
6 1 1 0 0.8699 48 154 90 123 74 0 0
6 2 1 0 0.8396 48 138 250 135 88 0 0
7 0 1 0 0.8747 48 136 178 148 98 2 0
7 1 1 0 0.9285 46 150 213 141 108 3 0
7 2 1 0 0.7459 35 120 206 154 85 3 0
8 0 1 0 0.8679 55 142 105 136 87 0 0
8 1 1 0 0.7639 41 154 54 99 112 0 0
8 2 1 0 0.8181 46 159 163 185 83 0 0
9 0 1 0 0.8258 51 167 304 176 99 1 0
9 1 1 0 0.8427 48 135 313 146 91 1 0
9 2 1 0 0.7831 41 112 152 180 75 1 0
10 0 1 0 0.748 55 126 202 90 81 0 6
10 1 1 0 0.8058 48 139 276 146 126 0 7
10 2 1 0 0.9249 38 141 47 68 95 0 7
11 0 1 0 0.8798 53 137 169 105 84 0 10
11 1 1 0 0.8043 45 128 81 97 84 0 10
11 2 1 0 0.7729 48 150 205 119 79 0 10
12 0 1 0 0.782 46 138 326 143 60 0 0
12 1 1 0 0.7425 34 132 41 116 64 0 0
12 2 1 0 0.7648 35 125 111 83 102 0 0
13 0 1 0 0.8861 39 146 341 209 95 0 4
13 1 1 0 0.6375 52 107 67 159 83 0 6
13 2 1 0 0.7867 47 136 271 162 74 0 6
14 0 1 0 0.7743 40 124 118 164 100 1 10
14 1 1 0 0.7877 43 157 234 146 91 2 10
14 2 1 0 0.9378 34 124 453 175 70 1 11
15 0 1 0 0.8831 41 127 176 86 107 0 0
15 1 1 0 0.7128 39 114 171 143 71 0 0
15 2 1 0 0.9132 44 149 235 152 57 0 0
16 0 1 0 0.8635 50 117 160 163 94 2 28
16 1 1 0 0.8794 44 127 53 144 108 3 30
16 2 1 0 0.7312 53 161 291 183 59 2 28
17 0 1 0 0.8619 47 123 335 146 111 0 0
17 1 1 0 0.7524 44 156 138 165 75 0 0
17 2 1 0 0.8108 63 134 204 111 90 0 0
18 0 1 0 0.7084 47 139 66 141 83 0 0
18 1 1 0 0.627 42 146 142 133 72 0 0
18 2 1 0 0.71 41 119 226 176 60 0 0
19 0 1 0 0.9107 49 172 313 97 84 1 0
19 1 1 0 0.7476 47 151 241 201 73 2 0
19 2 1 0 0.8777 49 155 290 202 47 2 0
20 0 1 0 0.8402 40 164 160 158 81 0 0
20 1 1 0 0.6602 48 108 201 99 101 0 0
20 2 1 0 0.7794 48 157 187 163 63 0 0
21 0 1 0 0.8124 48 151 133 115 79 0 10
21 1 1 0 0.6003 47 144 188 193 100 0 10
21 2 1 0 0.7905 44 153 244 182 98 0 10
22 0 1 0 0.8838 46 145 120 125 97 1 10
22 1 1 0 0.7401 37 135 134 166 86 3 11
22 2 1 0 0.8268 50 134 86 146 80 1 0
23 0 1 0 0.7474 46 159 131 147 98 0 0
23 1 1 0 0.6704 44 145 187 130 91 0 0
23 2 1 0 0.8699 35 135 205 124 71 0 0
24 0 1 0 0.7439 47 139 128 193 81 0 0
24 1 1 0 0.7047 37 141 112 192 94 0 0
24 2 1 0 0.7216 39 158 102 141 65 0 0
25 0 1 0 0.7851 41 120 215 164 82 2 0
25 1 1 0 0.7718 50 135 56 135 104 4 0
25 2 1 0 0.7886 49 148 90 134 79 0 0
26 0 1 0 0.7787 39 104 211 126 90 1 7
26 1 1 0 0.8541 52 166 65 152 104 1 7
26 2 1 0 0.7805 40 122 212 90 77 1 9
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187 0 1 1 0.8058 46 140 111 164 88 1 0
187 1 1 1 0.688 45 127 98 140 97 1 0
187 2 1 1 0.8262 48 154 125 155 92 1 0
188 0 1 1 0.6459 44 112 109 181 72 2 0
188 1 1 1 0.8394 45 135 86 155 87 2 0
188 2 1 1 0.7963 57 132 297 167 80 2 0
189 0 1 1 0.8638 42 137 304 121 99 0 0
189 1 1 1 0.7755 40 148 36 148 87 0 0
189 2 1 1 0.626 49 142 167 143 93 0 0
190 0 1 1 0.8068 58 134 193 173 111 2 0
190 1 1 1 0.7813 40 128 78 121 81 2 0
190 2 1 1 0.8404 43 117 238 160 103 2 0
191 0 1 1 0.9648 47 134 288 139 88 0 15
191 1 1 1 0.8229 44 113 60 137 74 0 15
191 2 1 1 0.7248 42 128 183 161 88 0 17
192 0 1 1 0.7367 56 117 191 124 101 0 8
192 1 1 1 0.7148 50 132 315 185 84 0 9
192 2 1 1 0.8117 50 145 133 120 91 0 8
193 0 1 1 0.6834 43 147 143 183 92 0 0
193 1 1 1 0.7438 42 140 269 126 104 0 0
193 2 1 1 0.7311 55 146 273 162 80 0 0
194 0 1 1 0.7911 46 128 260 96 108 0 0
194 1 1 1 0.7842 41 121 315 117 96 0 0
194 2 1 1 0.7073 48 134 73 115 75 0 0
195 0 1 1 0.7575 43 120 52 124 86 0 0
195 1 1 1 0.7436 53 158 88 145 77 0 0
195 2 1 1 0.8622 42 137 275 147 92 0 0
196 0 1 1 0.8738 32 110 54 161 106 0 0
196 1 1 1 0.7089 56 122 51 165 52 0 0
196 2 1 1 0.6083 52 120 350 130 117 0 0
197 0 1 1 0.9608 56 154 186 141 91 0 0
197 1 1 1 0.8709 59 112 293 113 83 0 0
197 2 1 1 0.7021 42 143 95 124 97 0 0
198 0 1 1 0.8432 58 150 141 140 69 4 0
198 1 1 1 0.779 40 137 264 96 87 4 0
198 2 1 1 0.7445 47 127 106 110 117 6 0
199 0 1 1 0.7171 50 139 138 124 97 1 0
199 1 1 1 0.8185 40 120 216 122 86 1 0
199 2 1 1 0.6539 44 129 62 130 101 3 0
200 0 1 1 0.8017 54 144 207 146 102 5 0
200 1 1 1 0.6884 40 113 87 126 108 6 0
200 2 1 1 0.6833 41 124 235 143 99 7 0
201 0 1 1 0.6528 40 111 124 142 88 0 0
201 1 1 1 0.95 46 138 203 172 79 0 0
201 2 1 1 0.718 57 133 344 156 95 0 0
202 0 1 1 0.8845 37 153 141 139 88 0 0
202 1 1 1 0.7312 45 137 111 157 117 0 0
202 2 1 1 0.7635 48 114 158 88 105 0 0
203 0 1 1 0.866 52 146 253 149 86 0 5
203 1 1 1 0.7261 35 135 217 131 84 0 5
203 2 1 1 0.6567 38 132 117 73 81 0 7
204 0 1 1 0.8193 39 153 293 157 103 0 0
204 1 1 1 0.8559 54 121 208 132 92 0 0
204 2 1 1 0.6235 43 140 191 128 97 0 0
205 0 1 1 0.7842 45 144 152 120 110 2 12
205 1 1 1 0.7585 48 160 155 99 91 2 13
205 2 1 1 0.6194 49 122 108 132 103 4 12
206 0 1 1 0.6174 44 157 200 186 100 1 0
206 1 1 1 0.8293 43 114 123 142 75 2 0
206 2 1 1 0.6199 37 139 172 165 97 3 0
207 0 1 1 0.7992 41 157 98 141 99 0 18
207 1 1 1 0.7127 48 136 233 128 101 0 20
207 2 1 1 0.7206 45 133 119 103 93 0 19
208 0 1 1 0.7107 41 119 344 142 88 0 0
208 1 1 1 0.7573 54 116 125 186 87 0 0
208 2 1 1 0.7985 35 124 188 95 106 0 0
209 0 1 1 0.6932 41 124 221 170 120 1 20
209 1 1 1 0.7766 35 113 211 143 92 1 21
209 2 1 1 0.7095 50 125 208 113 95 3 22
210 0 1 1 0.7152 44 122 170 139 97 2 0
210 1 1 1 0.9133 44 142 45 176 89 4 0
210 2 1 1 0.7528 52 132 466 108 106 2 0
211 0 1 1 0.7834 46 128 358 115 75 0 8
211 1 1 1 0.6007 40 135 231 110 96 0 9
211 2 1 1 0.7467 50 139 391 118 103 0 10
212 0 1 1 0.8072 36 138 120 202 85 0 0
212 1 1 1 0.8049 46 141 87 152 85 0 0
212 2 1 1 0.7351 32 124 28 159 101 0 0
213 0 1 1 0.9517 63 128 309 147 77 0 10
213 1 1 1 0.8856 42 131 29 130 74 0 11
213 2 1 1 0.7491 41 123 113 107 73 0 11
214 0 1 1 0.8349 41 131 156 109 127 0 0
214 1 1 1 0.718 59 135 65 137 97 0 0
214 2 1 1 0.7682 48 144 177 110 105 0 0
215 0 1 1 0.8618 49 131 167 135 91 0 0
215 1 1 1 0.9393 33 125 97 156 92 0 0
215 2 1 1 0.8022 46 126 248 133 96 0 0
216 0 1 1 0.6995 41 116 162 121 95 0 15
216 1 1 1 0.7113 46 149 152 122 117 0 16
216 2 1 1 0.9585 50 126 351 141 97 0 17
217 0 1 1 0.7833 49 161 229 132 91 0 0
217 1 1 1 0.725 39 136 110 161 98 0 0
217 2 1 1 0.721 47 133 284 133 92 0 0
218 0 1 1 0.8558 50 141 271 115 99 0 0
218 1 1 1 0.7942 41 129 36 150 90 0 0
218 2 1 1 0.6595 53 119 187 117 82 0 0
219 0 1 1 0.632 58 117 146 175 86 0 0
219 1 1 1 0.6576 53 120 192 121 100 0 0
219 2 1 1 0.8441 48 149 244 155 108 0 0
220 0 1 1 0.8224 39 125 101 119 103 2 0
220 1 1 1 0.9156 46 128 178 172 92 4 0
220 2 1 1 0.6307 47 138 133 137 115 4 0
221 0 1 1 0.6971 47 127 291 100 97 0 0
221 1 1 1 0.7633 55 149 188 111 109 0 0
221 2 1 1 0.61 45 150 79 143 96 0 0
222 0 1 1 0.7027 45 141 90 113 82 2 0
222 1 1 1 0.6588 51 132 100 107 98 4 0
222 2 1 1 0.8192 32 137 187 149 115 4 0
223 0 1 1 0.6672 38 149 201 132 102 2 0
223 1 1 1 0.8657 50 138 118 148 105 2 0
223 2 1 1 0.6817 49 133 223 116 96 2 0
224 0 1 1 0.8546 41 134 147 121 94 0 0
224 1 1 1 0.8245 44 134 179 175 96 0 0
224 2 1 1 0.7514 44 122 54 162 104 0 0
225 0 1 1 1.0808 39 130 126 138 90 0 0
225 1 1 1 0.8559 35 126 272 126 93 0 0
225 2 1 1 0.7457 39 159 128 125 74 0 0
226 0 1 1 0.7601 46 146 175 129 75 3 0
226 1 1 1 0.7768 51 125 250 120 118 5 0
226 2 1 1 0.8601 61 131 137 77 115 3 0
227 0 1 1 0.7309 40 137 121 164 79 0 0
227 1 1 1 0.663 53 127 308 199 112 0 0
227 2 1 1 0.8963 43 128 200 71 95 0 0
228 0 1 1 0.8412 46 123 131 162 101 2 0
228 1 1 1 0.8121 48 148 142 124 76 3 0
228 2 1 1 0.7022 44 134 94 105 92 3 0
229 0 1 1 1.0317 39 117 279 163 122 0 0
229 1 1 1 0.7244 38 164 282 131 59 0 0
229 2 1 1 0.8458 53 124 47 129 94 0 0
230 0 1 1 0.6345 34 126 35 142 99 1 0
230 1 1 1 0.7933 46 99 61 134 98 3 0
230 2 1 1 0.6759 51 139 183 90 100 1 0
231 0 1 1 0.7165 48 136 83 119 81 0 0
231 1 1 1 0.7713 58 127 198 129 99 0 0
231 2 1 1 0.71 41 125 88 167 69 0 0
232 0 1 1 1.0127 48 141 132 153 108 0 0
232 1 1 1 0.7213 52 114 171 150 98 0 0
232 2 1 1 0.6868 40 124 73 142 91 0 0
233 0 1 1 0.771 40 127 113 149 90 0 0
233 1 1 1 0.7439 53 117 296 89 79 0 0
233 2 1 1 0.7622 44 135 53 86 102 0 0
234 0 1 1 0.7016 40 151 243 141 89 0 0
234 1 1 1 0.635 47 134 103 121 75 0 0
234 2 1 1 0.6032 47 135 297 124 102 0 0
235 0 1 1 0.8289 37 135 82 175 110 0 0
235 1 1 1 0.7707 54 154 250 137 85 0 0
235 2 1 1 0.7918 40 139 29 142 94 0 0
236 0 1 1 0.8025 28 156 195 149 96 0 0
236 1 1 1 0.9303 56 121 74 133 126 0 0
236 2 1 1 0.7315 43 141 152 106 97 0 0
237 0 1 1 0.7833 56 130 211 147 98 0 0
237 1 1 1 0.752 42 162 92 183 78 0 0
237 2 1 1 0.7782 47 123 236 133 101 0 0
238 0 1 1 0.8453 43 …
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e. Embedded Entrepreneurship
f. Three Social Entrepreneurship Models
g. Social-Founder Identity
h. Micros-enterprise Development
Outcomes
Subset 2. Indigenous Entrepreneurship Approaches (Outside of Canada)
a. Indigenous Australian Entrepreneurs Exami
Calculus
(people influence of
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of these three) to reflect and analyze the potential ways these (
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ness Horizons
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nt
When considering both O
lassrooms
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ions
Identify a specific consumer product that you or your family have used for quite some time. This might be a branded smartphone (if you have used several versions over the years)
or the court to consider in its deliberations. Locard’s exchange principle argues that during the commission of a crime
Chemical Engineering
Ecology
aragraphs (meaning 25 sentences or more). Your assignment may be more than 5 paragraphs but not less.
INSTRUCTIONS:
To access the FNU Online Library for journals and articles you can go the FNU library link here:
https://www.fnu.edu/library/
In order to
n that draws upon the theoretical reading to explain and contextualize the design choices. Be sure to directly quote or paraphrase the reading
ce to the vaccine. Your campaign must educate and inform the audience on the benefits but also create for safe and open dialogue. A key metric of your campaign will be the direct increase in numbers.
Key outcomes: The approach that you take must be clear
Mechanical Engineering
Organic chemistry
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nment
Topic
You will need to pick one topic for your project (5 pts)
Literature search
You will need to perform a literature search for your topic
Geophysics
you been involved with a company doing a redesign of business processes
Communication on Customer Relations. Discuss how two-way communication on social media channels impacts businesses both positively and negatively. Provide any personal examples from your experience
od pressure and hypertension via a community-wide intervention that targets the problem across the lifespan (i.e. includes all ages).
Develop a community-wide intervention to reduce elevated blood pressure and hypertension in the State of Alabama that in
in body of the report
Conclusions
References (8 References Minimum)
*** Words count = 2000 words.
*** In-Text Citations and References using Harvard style.
*** In Task section I’ve chose (Economic issues in overseas contracting)"
Electromagnetism
w or quality improvement; it was just all part of good nursing care. The goal for quality improvement is to monitor patient outcomes using statistics for comparison to standards of care for different diseases
e a 1 to 2 slide Microsoft PowerPoint presentation on the different models of case management. Include speaker notes... .....Describe three different models of case management.
visual representations of information. They can include numbers
SSAY
ame workbook for all 3 milestones. You do not need to download a new copy for Milestones 2 or 3. When you submit Milestone 3
pages):
Provide a description of an existing intervention in Canada
making the appropriate buying decisions in an ethical and professional manner.
Topic: Purchasing and Technology
You read about blockchain ledger technology. Now do some additional research out on the Internet and share your URL with the rest of the class
be aware of which features their competitors are opting to include so the product development teams can design similar or enhanced features to attract more of the market. The more unique
low (The Top Health Industry Trends to Watch in 2015) to assist you with this discussion.
https://youtu.be/fRym_jyuBc0
Next year the $2.8 trillion U.S. healthcare industry will finally begin to look and feel more like the rest of the business wo
evidence-based primary care curriculum. Throughout your nurse practitioner program
Vignette
Understanding Gender Fluidity
Providing Inclusive Quality Care
Affirming Clinical Encounters
Conclusion
References
Nurse Practitioner Knowledge
Mechanics
and word limit is unit as a guide only.
The assessment may be re-attempted on two further occasions (maximum three attempts in total). All assessments must be resubmitted 3 days within receiving your unsatisfactory grade. You must clearly indicate “Re-su
Trigonometry
Article writing
Other
5. June 29
After the components sending to the manufacturing house
1. In 1972 the Furman v. Georgia case resulted in a decision that would put action into motion. Furman was originally sentenced to death because of a murder he committed in Georgia but the court debated whether or not this was a violation of his 8th amend
One of the first conflicts that would need to be investigated would be whether the human service professional followed the responsibility to client ethical standard. While developing a relationship with client it is important to clarify that if danger or
Ethical behavior is a critical topic in the workplace because the impact of it can make or break a business
No matter which type of health care organization
With a direct sale
During the pandemic
Computers are being used to monitor the spread of outbreaks in different areas of the world and with this record
3. Furman v. Georgia is a U.S Supreme Court case that resolves around the Eighth Amendments ban on cruel and unsual punishment in death penalty cases. The Furman v. Georgia case was based on Furman being convicted of murder in Georgia. Furman was caught i
One major ethical conflict that may arise in my investigation is the Responsibility to Client in both Standard 3 and Standard 4 of the Ethical Standards for Human Service Professionals (2015). Making sure we do not disclose information without consent ev
4. Identify two examples of real world problems that you have observed in your personal
Summary & Evaluation: Reference & 188. Academic Search Ultimate
Ethics
We can mention at least one example of how the violation of ethical standards can be prevented. Many organizations promote ethical self-regulation by creating moral codes to help direct their business activities
*DDB is used for the first three years
For example
The inbound logistics for William Instrument refer to purchase components from various electronic firms. During the purchase process William need to consider the quality and price of the components. In this case
4. A U.S. Supreme Court case known as Furman v. Georgia (1972) is a landmark case that involved Eighth Amendment’s ban of unusual and cruel punishment in death penalty cases (Furman v. Georgia (1972)
With covid coming into place
In my opinion
with
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The ability to view ourselves from an unbiased perspective allows us to critically assess our personal strengths and weaknesses. This is an important step in the process of finding the right resources for our personal learning style. Ego and pride can be
· By Day 1 of this week
While you must form your answers to the questions below from our assigned reading material
CliftonLarsonAllen LLP (2013)
5 The family dynamic is awkward at first since the most outgoing and straight forward person in the family in Linda
Urien
The most important benefit of my statistical analysis would be the accuracy with which I interpret the data. The greatest obstacle
From a similar but larger point of view
4 In order to get the entire family to come back for another session I would suggest coming in on a day the restaurant is not open
When seeking to identify a patient’s health condition
After viewing the you tube videos on prayer
Your paper must be at least two pages in length (not counting the title and reference pages)
The word assimilate is negative to me. I believe everyone should learn about a country that they are going to live in. It doesnt mean that they have to believe that everything in America is better than where they came from. It means that they care enough
Data collection
Single Subject Chris is a social worker in a geriatric case management program located in a midsize Northeastern town. She has an MSW and is part of a team of case managers that likes to continuously improve on its practice. The team is currently using an
I would start off with Linda on repeating her options for the child and going over what she is feeling with each option. I would want to find out what she is afraid of. I would avoid asking her any “why” questions because I want her to be in the here an
Summarize the advantages and disadvantages of using an Internet site as means of collecting data for psychological research (Comp 2.1) 25.0\% Summarization of the advantages and disadvantages of using an Internet site as means of collecting data for psych
Identify the type of research used in a chosen study
Compose a 1
Optics
effect relationship becomes more difficult—as the researcher cannot enact total control of another person even in an experimental environment. Social workers serve clients in highly complex real-world environments. Clients often implement recommended inte
I think knowing more about you will allow you to be able to choose the right resources
Be 4 pages in length
soft MB-920 dumps review and documentation and high-quality listing pdf MB-920 braindumps also recommended and approved by Microsoft experts. The practical test
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One thing you will need to do in college is learn how to find and use references. References support your ideas. College-level work must be supported by research. You are expected to do that for this paper. You will research
Elaborate on any potential confounds or ethical concerns while participating in the psychological study 20.0\% Elaboration on any potential confounds or ethical concerns while participating in the psychological study is missing. Elaboration on any potenti
3 The first thing I would do in the family’s first session is develop a genogram of the family to get an idea of all the individuals who play a major role in Linda’s life. After establishing where each member is in relation to the family
A Health in All Policies approach
Note: The requirements outlined below correspond to the grading criteria in the scoring guide. At a minimum
Chen
Read Connecting Communities and Complexity: A Case Study in Creating the Conditions for Transformational Change
Read Reflections on Cultural Humility
Read A Basic Guide to ABCD Community Organizing
Use the bolded black section and sub-section titles below to organize your paper. For each section
Losinski forwarded the article on a priority basis to Mary Scott
Losinksi wanted details on use of the ED at CGH. He asked the administrative resident