Statistical Analysis: SPSS Activity

Use the Excel file titled, General-Electric that is posted to GAP under week one and upload it to SPSS.

This file contains GE’s daily stock market data covering the period of 12/13/2010 to 12/11/2019. The

file contains a total of 2013 daily transaction records including date, opening price of the GE stock for

the day, highest price, lowest price, closing price, closing price adjusted for dividends, and the number

of stocks traded (volume).

1. Use the explore command in SPSS and explain whether the trading volume of the stock is

normally distributed. Make sure to discuss, Skewness, kurtosis, results from the test of normality

as well as the Q-Q plots.

2. Select a random Sample of exactly 125 observations. Then run the descriptive command and

calculate the mean and standard deviation of the sample. Repeat this process (i.e., selection of a

random sample and descriptive command) exactly 50 times. Hint: Use SPSS syntax to repeat the

command. List both values (mean and the standard deviation) in a new excel file with proper

column headings.

3. Upload the newly created excel file into SPSS and create a histogram of both the calculated

means and standard deviations.

4. Run the explore command similar to what you did in step 1 for both variables and make your

observations. Does the Central Limit Theorem (CLT) apply to both measurements?

5. Suppose you believe that the true average daily trade volume for General Electric stock is

49,829,719 shares. Based on a recent sample you have also calculated a standard deviation of

21,059,637 shares. Considering a 95% confidence level, what is the minimum required sample

size if you like your sampling error to be limited to 10,000,000 shares. What sample size would

offer a sampling error of not more than 20,000,000 shares? Assuming N=2013 represents the

total population size, how will your calculations change for the finite sample?

6. Is there a statistically significant difference between the average trading volume in 2017 and

2018? Hint: While technically, this can be carried out as a paired sample t-test since volume data

are reported for the same stock, we will treat this as independent samples. Complete your calculations by hand assuming M2017=46108055, S2017=34099055, n2017=251, M2018= 87241844,

S2018=50977722, n2018=238.

7. Repeat the test, this time by using SPSS. Hint: Create a new grouping variable for 2017 and

2018 and use it to run your test.

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