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1F - Statistics
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This chapter is from Introduction to Statistics for Community College Students, 1st Edition, by Matt Teachout, College of the Canyons, Santa Clarita, CA, USA, and is licensed under a “CC-By” Creative Commons Attribution 4.0 International license – 10/1/18 Practice Problems Section 1F 1. Answer the following questions: a) What is meant by saying that data is normally distributed or “normal”? b) Define the mean average and explain how it is calculated. c) Define the standard deviation and explain how it is calculated. 2. Answer the following questions: a) If a data set is normally distributed, what measure of average should we use? b) If a data set is normally distributed, what measure of spread should we use? c) If a data set is normally distributed, how many standard deviations from the mean is considered typical? d) If a data set is normally distributed, what is the formula for finding typical values? e) If a data set is normally distributed, approximately what percentage is typical? f) If a data set is normally distributed, how many standard deviations from the mean is considered unusual? g) If a data set is normally distributed, approximately what percentage of the data is unusually high? h) If a data set is normally distributed, approximately what percentage of the data is unusually low? (#3-4) Directions: The following graphs and statistics were calculated with Statcato and the “Bear” data from the website www.matt-teachout.org . Use the dot plot, histogram and summary statistics to answer the following questions. Here are the formulas for typical and unusual values. Mean – Standard Deviation ≤ Typical Values for Normal Data ≤ Mean + Standard Deviation Unusual Low Cutoff for Normal Data = Mean − (2 × Standard Deviation) Unusual High Cutoff for Normal Data = Mean + (2 × Standard Deviation) 3. Bear neck circumference (inches) a) What is the data measuring and what are the units? b) How many numbers are in the data set? c) Is the data set normally distributed? (Yes or No) d) What is the minimum value? e) What is the maximum value? f) What is the average (center)? (Give the number and the name of the statistic used.) g) How much typical spread does the data set have? (Give the number and the name of the statistic used.) h) Find two numbers that typical values fall in between. i) What is the unusual high (high outlier) cutoff for this data? j) What is the unusual low (low outlier) cutoff for this data? k) List all high outliers in this data set. If there are no high outliers, put “none”. l) List all low outliers in this data set. If there are no high outliers, put “none”. https://creativecommons.org/licenses/by/4.0/ http://www.matt-teachout.org/ This chapter is from Introduction to Statistics for Community College Students, 1st Edition, by Matt Teachout, College of the Canyons, Santa Clarita, CA, USA, and is licensed under a “CC-By” Creative Commons Attribution 4.0 International license – 10/1/18 https://creativecommons.org/licenses/by/4.0/ This chapter is from Introduction to Statistics for Community College Students, 1st Edition, by Matt Teachout, College of the Canyons, Santa Clarita, CA, USA, and is licensed under a “CC-By” Creative Commons Attribution 4.0 International license – 10/1/18 4. Bear Chest Size (inches) a) What is the data measuring and what are the units? b) How many numbers are in the data set? c) Is the data set normally distributed? (Yes or No) d) What is the minimum value? e) What is the maximum value? f) What is the average (center)? (Give the number and the name of the statistic used.) g) How much typical spread does the data set have? (Give the number and the name of the statistic used.) h) Find two numbers that typical values fall in between. i) What is the unusual high (high outlier) cutoff for this data? j) What is the unusual low (low outlier) cutoff for this data? k) List all high outliers in this data set. If there are no high outliers, put “none”. l) List all low outliers in this data set. If there are no high outliers, put “none”. https://creativecommons.org/licenses/by/4.0/ This chapter is from Introduction to Statistics for Community College Students, 1st Edition, by Matt Teachout, College of the Canyons, Santa Clarita, CA, USA, and is licensed under a “CC-By” Creative Commons Attribution 4.0 International license – 10/1/18 (#5-8) Directions: Open the “Health” data from the website www.matt-teachout.org . (Look under “Statistics” tab and then click the “data sets” tab.) Go to www.lock5stat.com and open StatKey. Under the “Descriptive Statistics and Graphs” menu, click on “One Quantitative Variable”. Paste the indicated column of quantitative data into StatKey, create a dot plot and histogram, and find the summary statistics. Then answer the following questions. Here are the formulas for typical and unusual values. Mean – Standard Deviation ≤ Typical Values for Normal Data ≤ Mean + Standard Deviation Unusual Low Cutoff for Normal Data = Mean − (2 × Standard Deviation) Unusual High Cutoff for Normal Data = Mean + (2 × Standard Deviation) 5. Women’s Diastolic Blood Pressure (Millimeters of Mercury (mm of Hg)) a) What is the data measuring and what are the units? b) How many numbers are in the data set? c) Is the data set normally distributed? (Yes or No) d) What is the minimum value? e) What is the maximum value? f) What is the average (center)? (Give the number and the name of the statistic used.) g) How much typical spread does the data set have? (Give the number and the name of the statistic used.) h) Find two numbers that typical values fall in between. https://creativecommons.org/licenses/by/4.0/ http://www.matt-teachout.org/ http://www.lock5stat.com/ This chapter is from Introduction to Statistics for Community College Students, 1st Edition, by Matt Teachout, College of the Canyons, Santa Clarita, CA, USA, and is licensed under a “CC-By” Creative Commons Attribution 4.0 International license – 10/1/18 i) What is the unusual high (high outlier) cutoff for this data? j) What is the unusual low (low outlier) cutoff for this data? k) List all high outliers in this data set. If there are no high outliers, put “none”. l) List all low outliers in this data set. If there are no high outliers, put “none”. 6. Women’s Wrist Circumference (Inches) a) What is the data measuring and what are the units? b) How many numbers are in the data set? c) Is the data set normally distributed? (Yes or No) d) What is the minimum value? e) What is the maximum value? f) What is the average (center)? (Give the number and the name of the statistic used.) g) How much typical spread does the data set have? (Give the number and the name of the statistic used.) h) Find two numbers that typical values fall in between. i) What is the unusual high (high outlier) cutoff for this data? j) What is the unusual low (low outlier) cutoff for this data? k) List all high outliers in this data set. If there are no high outliers, put “none”. l) List all low outliers in this data set. If there are no high outliers, put “none”. 7. Men’s Height (Inches) a) What is the data measuring and what are the units? b) How many numbers are in the data set? c) Is the data set normally distributed? (Yes or No) d) What is the minimum value? e) What is the maximum value? f) What is the average (center)? (Give the number and the name of the statistic used.) g) How much typical spread does the data set have? (Give the number and the name of the statistic used.) h) Find two numbers that typical values fall in between. i) What is the unusual high (high outlier) cutoff for this data? j) What is the unusual low (low outlier) cutoff for this data? k) List all high outliers in this data set. If there are no high outliers, put “none”. l) List all low outliers in this data set. If there are no high outliers, put “none”. 8. Men’s Weight (Pounds) a) What is the data measuring and what are the units? b) How many numbers are in the data set? c) Is the data set normally distributed? (Yes or No) d) What is the minimum value? e) What is the maximum value? f) What is the average (center)? (Give the number and the name of the statistic used.) g) How much typical spread does the data set have? (Give the number and the name of the statistic used.) h) Find two numbers that typical values fall in between. i) What is the unusual high (high outlier) cutoff for this data? j) What is the unusual low (low outlier) cutoff for this data? k) List all high outliers in this data set. If there are no high outliers, put “none”. l) List all low outliers in this data set. If there are no high outliers, put “none”. https://creativecommons.org/licenses/by/4.0/ This chapter is from Introduction to Statistics for Community College Students, 1st Edition, by Matt Teachout, College of the Canyons, Santa Clarita, CA, USA, and is licensed under a “CC-By” Creative Commons Attribution 4.0 International license – 10/1/18 (#9-18) Directions: Use the following formula when needed and answer the following questions about Z-scores. Z = (𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴𝐴−𝑀𝑀𝑀𝑀𝑀𝑀𝐴𝐴) 𝑆𝑆𝐴𝐴𝑀𝑀𝐴𝐴𝑆𝑆𝑀𝑀𝑆𝑆𝑆𝑆 𝐷𝐷𝑀𝑀𝐷𝐷𝐷𝐷𝑀𝑀𝐴𝐴𝐷𝐷𝐴𝐴𝐴𝐴 9. Write the definition of a Z-score. 10. Explain how we can use Z-scores to tell if a number is typical in normal data? 11. Explain how we can use Z-scores to tell if a number is unusual in normal data? 12. A random sample of IQ tests is normally distributed with a mean of 99.8 and a standard deviation of 15.3. Bud has an IQ of 143. Use this information to answer the following Z-score questions. a) Calculate the Z-score for Bud’s IQ. b) Write a sentence to explain the Z-score in context. c) Is Buds’ IQ unusually high compared to other people in the data set? Explain your answer. 13. A random sample of IQ tests is normally distributed with a mean of 99.8 and a standard deviation of 15.3. Jan has an IQ of 89. Use this information to answer the following Z-score questions. a) Calculate the Z-score for Jan’s’ IQ. b) Write a sentence to explain the Z-score in context. c) Is Jan’s’ IQ unusually low compared to other people in the data set? Explain your answer. 14. A clothing store wants to study the amount of money spent in their store by customers. Census data indicated that the data is normally distributed with a mean of $46.89 and a standard deviation of $12.44. Maria spent $105.12 on merchandise in the store. Use this information to answer the following Z-score questions. a) Calculate the Z-score for the amount Maria spent. b) Write a sentence to explain the Z-score in context. c) Is the amount Maria spent unusually high compared to other people in the data set? Explain your answer. 15. A clothing store wants to study the amount of money spent in their store by customers. Census data indicated that the data is normally distributed with a mean of $46.89 and a standard deviation of $12.44. Julie spent $13.61 on merchandise in the store. Use this information to answer the following Z-score questions. a) Calculate the Z-score for the amount Julie spent. b) Write a sentence to explain the Z-score in context. c) Is the amount Julie spent unusually low compared to other people in the data set? Explain your answer. 16. Neck circumferences of bears are normally distributed with a mean circumference of 20.556 inches and a standard deviation of 5.641 inches. A bear has a neck circumference of 13.7 inches. a) Calculate the Z-score for this bears neck circumference. b) Write a sentence to explain the Z-score in context. c) Is this bears’ neck circumference unusually low compared to other bears in the data set? Explain your answer. https://creativecommons.org/licenses/by/4.0/ This chapter is from Introduction to Statistics for Community College Students, 1st Edition, by Matt Teachout, College of the Canyons, Santa Clarita, CA, USA, and is licensed under a “CC-By” Creative Commons Attribution 4.0 International license – 10/1/18 17. Chest sizes of bears was normally distributed with a mean chest size of 35.663 inches and a standard deviation of 9.352 inches. A bear has a chest size of 57 inches. a) Calculate the Z-score for this bears chest size. b) Write a sentence to explain the Z-score in context. c) Is this bears’ chest size unusually large compared to other bears in the data set? Explain your answer. 18. The diastolic blood pressure of a random sample of women had a mean of 67.425 mm of Hg and a standard deviation of 11.626. A woman in the data has a diastolic blood pressure of 72 mm of Hg. a) Calculate the Z-score for this woman’s diastolic blood pressure. b) Write a sentence to explain the Z-score in context. c) Is this woman’s diastolic blood pressure unusually high compared to other women in the data set? Explain your answer. (#19-25) Answer the following questions about the empirical rule. 19. Draw that standard normal curve. Label the mean and the values for one, two and three standard deviations above and below the mean. Also, label the percentages that make up the empirical rule. 20. The salaries of employees at a company are normally distributed with a mean of 31.4 thousand dollars and a standard deviation of 2.1 thousand dollars. Use the Empirical Rule graph below to answer the following questions. a) What percentage of the employees have a salary between 27.2 thousand dollars and 35.6 thousand dollars? b) What percentage of the employees have a salary between 29.3 thousand dollars and 33.5 thousand dollars? c) What percentage of the employees have a salary between 25.1 thousand dollars and 37.7 thousand dollars? d) What percentage of the employees have a salary greater than 33.5 thousand dollars? e) What percentage of the employees have a salary less than 27.2 thousand dollars? f) Typical values for a normal curve are one standard deviation from the mean. Find two salaries that typical employee salaries fall in between? https://creativecommons.org/licenses/by/4.0/ This chapter is from Introduction to Statistics for Community College Students, 1st Edition, by Matt Teachout, College of the Canyons, Santa Clarita, CA, USA, and is licensed under a “CC-By” Creative Commons Attribution 4.0 International license – 10/1/18 g) The unusual high cutoff is two standard deviations above the mean. What salary represents the unusual high cutoff, which is the salary that 2.5\% of the employees are greater than? h) The unusual low cutoff is two standard deviations below the mean. What salary represents the unusual low cutoff, that is the salary that 2.5\% of the employees are less than? 21. Neck circumferences of a sample of bears are normally distributed with a mean circumference of 20.556 inches and a standard deviation of 5.641 inches. Use the Empirical Rule graph below to answer the following questions. a) What percent of the bears have a neck circumference between 14.915 inches and 31.838 inches? b) What percent of the bears have a neck circumference less than 26.197 inches? c) Typical bears have a neck circumference between what two amounts? d) What is the unusual high cutoff, that is the bear neck circumference that 2.5\% of bears are more than. e) What is the unusual low cutoff, that is the bear neck circumference that 2.5\% of bears are less than. f) What is the bear neck circumference that 84\% of bear neck circumferences are more than? g) What percent of the bears have a neck circumference less than 14.915 inches? https://creativecommons.org/licenses/by/4.0/ This chapter is from Introduction to Statistics for Community College Students, 1st Edition, by Matt Teachout, College of the Canyons, Santa Clarita, CA, USA, and is licensed under a “CC-By” Creative Commons Attribution 4.0 International license – 10/1/18 22. A clothing store wants to study the amount of money spent in their store by customers. Census data indicated that the data is normally distributed with a mean of $46.89 and a standard deviation of $12.44. Use the Empirical Rule graph below to answer the following questions. a) What percent of customers spent between $71.77 and $84.21 in the store? b) What percent of customers spent less than $34.45 in the store? c) Typical customers spent between what two amounts? d) What is the unusual high cutoff, that is the dollar amount that 2.5\% of customers spent more than. e) What is the unusual low cutoff, that is the dollar amount that 2.5\% of customers spent less than. f) What is the dollar amount that 16\% of customers spent more than? g) What percent of customers spent less than $71.77? 23. A random sample of IQ tests is normally distributed with a mean of 99.8 and a standard deviation of 15.3. Use this information to answer the following questions. Go to www.lock5stat.com and open StatKey. Under the “Theoretical Distributions” menu, click on “Normal”. a) Use StatKey to calculate what percent of people in the IQ sample data that have an IQ greater than 77. b) Use StatKey to calculate what percent of people in the IQ sample data that have an IQ less than 108. c) Use StatKey to calculate what percent of people in the IQ sample data that have an IQ between 95 and 120. d) Use StatKey to find the IQ score that 60\% of people are less than. e) Use StatKey to find the IQ score that 85\% of people are greater than. f) Use StatKey to find two IQ scores that the middle 40\% of people are in between. https://creativecommons.org/licenses/by/4.0/ http://www.lock5stat.com/ This chapter is from Introduction to Statistics for Community College Students, 1st Edition, by Matt Teachout, College of the Canyons, Santa Clarita, CA, USA, and is licensed under a “CC-By” Creative Commons Attribution 4.0 International license – 10/1/18 24. A clothing store wants to study the amount of money spent in their store by customers. Census data indicated that the data is normally distributed with a mean of $46.89 and a standard deviation of $12.44. Go to www.lock5stat.com and open StatKey. Under the “Theoretical Distributions” menu, click on “Normal”. a) Use StatKey to calculate the percent of people that spent more than $25. b) Use StatKey to calculate the percent of people that spent less than $50. c) Use StatKey to calculate the percent of people spent between $35 and $60. d) Use StatKey to find the amount of money spent that 37\% of people are less than. e) Use StatKey to find the amount of money spent that 15\% of people are more than. f) Use StatKey to find two amounts that the middle 60\% of people are in between. 25. The diastolic blood pressure of a random sample of women had a mean of 67.425 mm of Hg and a standard deviation of 11.626. Go to www.lock5stat.com and open StatKey. Under the “Theoretical Distributions” menu, click on “Normal”. a) Use StatKey to calculate the percent of women that have a diastolic blood pressure below 75 mm of Hg. b) Use StatKey to calculate the percent of women that have a diastolic blood pressure above 50 mm of Hg. c) Use StatKey to calculate the percent of women that have a diastolic blood pressure between 60 and 70 mm of Hg. d) Use StatKey to find the diastolic blood pressure that 80\% of women are lower than. e) Use StatKey to find the diastolic blood pressure that 45\% of women are higher than. f) Use StatKey to find the two diastolic blood pressures that the middle 75\% of women are in between. -------------------------------------------------------------------------------------------------------------------------------------------------------- https://creativecommons.org/licenses/by/4.0/ http://www.lock5stat.com/ http://www.lock5stat.com/
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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 Geometry 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 Not necessarily all home buyers are the same! When you choose to work with we buy ugly houses Baltimore & nationwide USA 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 g 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