Fluent Essays

Use the graphs and tables ATTACHED  Create a brief Microsoft PowerPoint presentation describing your sample. Be sure to give an accurate and complete description, Descriptive Statistics Discrete variables The main descriptive statistics used for discrete variables are frequency statistics. Since sex and ethnicity are discrete variables, their descriptive statistics are the frequency statistics. Sex Sex Frequency Percent Male 36 50 Female 36 50 Total 72 100 The findings show that there was the number of female participants contained in the dataset was equal to the number of male participants in the data set. Ethnicity Ethnicity Frequency Percent African American 23 31.9 Caucasian 31 43.1 Latino 14 19.4 Other 4 5.6 Total 72 100 The majority of the respondents in the dataset 31 (43,1\%) were of Caucasian ethnicity. Respondents with African American ethnicity were 23 (43.1\%) while those with Latino ethnicity were 14 (19.4\%). 4 (5.6\%) of the respondents in the dataset were from other ethnic groups. Continuous variables There are three classes of descriptive statistics for continuous variables that include measures of central tendency (mean, median, and mode), measures of dispersion (variance, standard deviation, and range), and shape statistics (skewness and kurtosis). Age Age Mean 27.75 Standard Error 0.92452881 Median 25 Mode 24 Standard Deviation 7.844887094 Sample Variance 61.54225352 Kurtosis 0.217860957 Skewness 0.969218955 Range 31 Minimum 18 Maximum 49 Sum 1998 Count 72 The mean age of the respondents in the data set is 27.75. The median and mode of the respondents’ age is 25 and 24 respectively. The standard deviation, sample variance, and range of the respondents’ age in the dataset are 7.8449, 61.5423, and 31 respectively. The kurtosis and skewness of the age of the respondents are 0.2179 and 0.9692 respectively. The maximum age is 49 while the minimum age is 18. The histogram shows that the age is skewed to the right. Recall1 Recall1 Mean 7.527778 Standard Error 0.38097 Median 8 Mode 8 Standard Deviation 3.232634 Sample Variance 10.44992 Kurtosis -0.62492 Skewness -0.14209 Range 15 Minimum 0 Maximum 15 Sum 542 Count 72 The mean of Recall1 in the data set is 7.5278. The median and mode of the Recall1 are 8 and 8 respectively. The standard deviation, sample variance, and range of Recall1 in the dataset are 3.2326, 10.4499, and 15 respectively. The kurtosis and skewness of the Recall1 data are -0.6249 and -0.1421 respectively. The maximum value in the Recall1 data is 15 while the minimum value is 0. The histogram shows that Recall1 is skewed to the right. References Am, S., & Am, C. (2018). Descriptive Statistics. Europe, 4(4.5/37.6), 12-0. Kaur, P., Stoltzfus, J., & Yellapu, V. (2018). Descriptive statistics. International Journal of Academic Medicine, 4(1), 60. Sex Frequency Male Female 36 36 Sex Frequency Ethinicity Frequency African American Caucasian Latino Other 23 31 14 4 Ethinicity Frequency Histogram Frequency 25.75 21.875 29.625 33.5 37.375 45.125 18 41.25 More 22 14 10 8 8 4 2 2 2 Cumulative \% 25.75 21.875 29.625 33.5 37.375 45.125 18 41.25 More 0.30555555555555558 0.5 0.63888888888888884 0.75 0.86111111111111116 0.91666666666666663 0.94444444444444442 0.97222222222222221 1 Bin Frequency Histogram Frequency 9.375 11.25 5.625 7.5 3.75 13.125 0 1.875 More 16 14 13 12 7 7 1 1 1 Cumulative \% 9.375 11.25 5.625 7.5 3.75 13.125 0 1.875 More 0.22222222222222221 0.41666666666666669 0.59722222222222221 0.76388888888888884 0.86111111111111116 0.95833333333333337 0.97222222222222221 0.98611111111111116 1 Bin Frequency 2 Microsoft Excel graphics Descriptive statistics can be useful for two purposes: 1) to provide basic information about variables in a dataset and to highlight potential relationships between variables. The basic statistics in tis assignment are correlaton,kurtosis skewness, mean , median and mode. ID STUDENT ID AGE SEX HEIGHT YEAR 1 P101 24 male 61 freshman 2 P102 20 female 59 freshman 3 P103 19 female 58 freshman 4 P104 19 male 64 freshman 5 P105 22 male 62 freshman 6 P106 20 female 61 freshman 7 P107 23 female 60 freshman 8 P108 22 male 60 freshman 9 P109 19 female 58 freshman 10 P110 22 male 62 freshman 11 P201 21 female 63 junior 12 P202 19 female 59 junior 13 P203 19 female 50 junior 14 P204 21 female 55 junior 15 P205 19 female 65 junior 16 P206 22 male 57 junior 17 P207 24 male 57 junior 18 P208 20 male 59 junior 19 P209 19 male 57 junior 20 P210 20 male 62 junior 21 P301 22 female 62 sophomore 22 P302 21 female 61 sophomore 23 P303 20 female 60 sophomore 24 P304 19 female 55 sophomore 25 P305 22 male 57 sophomore 26 P306 24 male 58 sophomore 27 P307 21 male 64 sophomore 28 P308 20 female 64 sophomore 29 P309 22 male 61 sophomore 30 P310 23 male 59 sophomore 31 P401 22 female 63 senior 32 P402 24 male 62 senior 33 P403 24 male 61 senior 34 P404 25 male 60 senior 35 P405 22 female 69 senior 36 P406 22 female 61 senior 37 P407 24 female 59 senior 38 P408 27 male 64 senior 39 P409 23 female 65 senior 40 P410 25 male 62 senior mean 21.65 60.4 mode 22 61 median 22 61 correlation 0.224942 0.224942 skewness 0.424747 -0.40944 kurtosis -0.40166 1.750176 There is a positive correlation between age and height. The skewness of age is positive while that of height is negative. The kurtosis of age is negative while that of height is positive. References Andrews, I., Gentzkow, M., & Shapiro, J. M. (2020). On the informativeness of descriptive statistics for structural estimates. Econometrica, 88(6), 2231-2258. STUDENT ID P101 P102 P103 P104 P105 P106 P107 P108 P109 P110 P201 P202 P203 P204 P205 P206 P207 P208 P209 P210 P301 P302 P303 P304 P305 P306 P307 P308 P309 P310 P401 P402 P403 P404 P405 P406 P407 P408 P409 P410 mean mode median correlation skewness kurtosis AGE 24 20 19 19 22 20 23 22 19 22 21 19 19 21 19 22 24 20 19 20 22 21 20 19 22 24 21 20 22 23 22 24 24 25 22 22 24 27 23 25 mean mode median correlation skewness kurtosis 21.65 22 22 0.22494184122100927 0.42474717700901932 -0.40166474030289123 SEX male female female male male female female male female male female female female female female male male male male male female female female female male male male female male male female male male male female female female male female male mean mode median correlation skewness kurtosis HEIGHT 61 59 58 64 62 61 60 60 58 62 63 59 50 55 65 57 57 59 57 62 62 61 60 55 57 58 64 64 61 59 63 62 61 60 69 61 59 64 65 62 mean mode median correlation skewness kurtosis 60.4 61 61 0.22494184122100927 -0.40944407380873177 1.7501763691599757 YEAR freshman freshman freshman freshman freshman freshman freshman freshman freshman freshman junior junior junior junior junior junior junior junior junior junior sophomore sophomore sophomore sophomore sophomore sophomore sophomore sophomore sophomore sophomore senior senior senior senior senior senior senior senior senior senior mean mode median correlation skewness kurtosis