# STAT BQ404 Matthew Jordon is a research analyst for a large

June 14, 2018

Matthew Jordon is a research analyst for a large investment firm. He is preparing a report on the stock performance of Nike, Inc. One aspect of his report will contain inferences concerning monthly stock returns. Before making valid inferences, Matthew first wants to determine whether the return data follow the normal distribution. To this end, he constructs the following frequency distribution on monthly stock returns for the years 2006 through 2010:Class in percent observed frequencyless that -5 8-5 up to 0 200 up to 5 145 or more 18He also calculates the following summary statistics over this time period:Mean Median Standard Deviation Skenewss Kurtosis1.50% 1.31% 6.98% .11 -.33In a report, use the sample information to:1. Conduct a goodness of fit test in order to determine whether the monthly stock returns are not normally distributed at the 5% significance level.Matthew Jordon is a research analyst for a large investment firm. He is preparing a report on the stock performance of Nike, Inc. One aspect of his report will contain inferences concerning monthly stock returns. Before making valid inferences, Matthew first wants to determine whether the return data follow the normal distribution. To this end, he constructs the following frequency distribution on monthly stock returns for the years 2006 through 2010:Class in percent observed frequencyless that -5 8-5 up to 0 200 up to 5 145 or more 18He also calculates the following summary statistics over this time period:Mean Median Standard Deviation Skenewss Kurtosis1.50% 1.31% 6.98% .11 -.33In a report, use the sample information to:1. Conduct a goodness of fit test in order to determine whether the monthly stock returns are not normally distributed at the 5% significance level.2. Perform the Jarque-Bera test in order to determine whether the monthly stock returns are not normally distributed at the 5% significance level.

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