Nathaniel Walker WORKBOOK FALL 2023 (3)

Marital Status 1960 2010 Married 0.81 0.5 Single 0.05 0.3 Divorced 0.06 0.16 Widowed 0.08 0.04 Marital Status 2010 Married 0.5 Single 0.3 Divorced 0.16 Widowed 0.04 81% 5% 6% 8% 1960 Marital Status Married Single Divorced Widowed 50% 30% 16% 4% 2010 Marital Status Married Single Divorced Widowed Nathaniel Walker 300391541 What is the percentage of marriage decrease from 1960 to 2010? 38.27 2. Which category had the largest increase in 2010? Single 3. What type of variable is being represented, Numerical/Quantitative Variable or Categorical/Qualitative data? categorical or qualitative variable.

Marital Status 1960 2010 Married 0.81 0.5 Single 0.05 0.3 Divorced 0.06 0.16 Widowed 0.08 0.04 Married Single Divorced Widowed 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 0.9 Marital Status 1960 2010 Nathaniel Walker 300391541 Which categories increased from 1960 to 2010? Single, Divorced Which categories decreased from 1960 to 2010? Married, Widowed What percentage of people who were surveyed in 1960 were not married? 19% Which is best for comparing two sets of data a bar chart or a pie chart? bar chart

Year Growth Value 2012 2.56 0.09 Growth Value 2013 -48.32 -15.97 2014 36.29 19.58 Mean 5.399 Mean 10.95 2015 6.96 14.28 Standard E 7.83826177584461 Standard E 5.54202850949 2016 1.71 1.00 Median 10.065 Median 14.115 2017 16.89 38 Mode #N/A Mode #N/A 2018 32.16 32.85 Standard D 24.7867601083051 Standard D 17.5254329475765 2019 13.47 13.95 Sample Var 614.383476666667 Sample Var 307.1408 2020 13.17 -11.03 Kurtosis 1.59014267635817 Kurtosis -0.74261046148389 2021 -20.9 16.75 Skewness -1.1137880222212 Skewness -0.030850923956901 Range 84.61 Range 53.97 Minimum -48.32 Minimum -15.97 Maximum 36.29 Maximum 38 Sum 53.99 Sum 109.5 Count 10 Count 10 Nathaniel Walker 300391541 What are descriptive statistics? identify and list them Growth- For the Growth Fund, the mean is 5.399, standard error is 7.838, median is 10.065, mode is #N/A, standard deviation is 24.787, sample variance is 614.383, kurtosis is 1.590, skewness is -1.114, range is 84.61, minimum is - 48.32, maximum is 36.29, sum is 53.99, and count is 10. For the Value Fund, the mean is 10.95, standard error is 5.542, median is 14.115, mode is #N/A, standard deviation is 17.525, sample variance is 307.141, kurtosis is -0.743, skewness is -0.031, range is 53.97, minimum is -15.97, maximum is 38, sum is 109.5, and count is 10. Describe the differences between the descriptive statistics for the Growth and Value Funds. The Growth Fund has a mean of 5.399, standard error of 7.838, median of 10.065, mode N/A, standard deviation of 24.787, sample variance of 614.383, kurtosis of 1.590, skewness of -1.114, range of 84.61, minimum of -48.32, maximum of 36.29, sum of 53.99, and a count of 10. For the Value Fund, the mean is 10.95, standard error is 5.542, median is 14.115, mode N/A, standard deviation is 17.525, sample variance is 307.141, kurtosis is -0.743, skewness is -0.031, range is 53.97, minimum is -15.97, maximum is 38, sum is 109.5, and count is 10. Define the Coefficient of Variation (CV) and give the formula in words or symbols ( Hint review PowerPoint section 3.4 or read section 3.4 in your e-book) CV =(Standard Deviation/Mean)×100 Calculate the CV for both funds. Which fund will be the best to invest in based on the CV? CVGrowth=(24.79/5.399)×100≈459.46 CVValue=(17.53/10.95)×100≈159.72; Value Fund