Use the following information to answer Problem 1 (a), (b), and (c).

Suppose you have historical adjusted closing daily stock price data (1261 days) for the company of your choice. To test for normality, the stock's sample return distribution must be tested for skewness and kurtosis. Using the daily geometric (continuously compounded) returns, you compute the first four moments of your daily stock return distribution as follows:

Mean	0.00019
Standard Deviation	0.01172
Skewness	0.65376
Kurtosis	13.93434

Critical values: 1.645 with 95% confidence level (one-tailed test)

1.96 with 95% confidence level (two-tailed test)

2.326 with 99% confidence level (one-tailed test)

2.58 with 99% confidence level (two-tailed test)

Problem 1 (a) (16 points) (1) Specify the null and alternative hypothesis for skewness using Z-test at 5% significance level. (2) Show your computed z-statistic and critical value, (3) conclude whether you reject the null or not, (4) and interpret it.