Attached is the daily closing price of the stock (xmsr).
Decide whether the data appears to be normally distributed by:
1. Record the daily changes in the closing stock price of each day.
a) Make a stem and leaf display, histogram or polygon, and box and whisker plot.
b) Evaluate the actual versus theoretical properties.
c) Construct a normal probability plot.
d) Discuss the results. of a,b, and c.
Note: The random walk theory pertains to the daily changes in the closing stock price, not the daily closing stock price.
e) Based on the conclusions in d what can you now say about your distribution of each type - the daily closing prices and daily changes in closing prices? Which if any of the data sets appear to be approximately normally distributed?
Use the following:
a) Closing price and previous closing price
b) Daily change and previous day change
1. To make a scatter plot of the 2 data sets
2. Complete the regression coefficient of the 2 data sets
3. Run a regression for both and interpret it.
The solution analyzes closing price data on stocks and discusses its normality as well as the relevance of the data to random walk theory.