习题：
　　Exercise:
　　An analyst is conducting a two-tailed z-test to determine if small cap returns are significantly different from 10%. The sample size is 200 and the computed z-statistic is 2.3. Using a 5% level of significance, which of the following statements is most accurate?
　　A.     Reject the null hypothesis and conclude that small cap returns are not significantly different from 10%.
　　B.     Fail to reject the null hypothesis and conclude that small cap returns are significantly different from 10%.
　　C.    Fail to reject the null hypothesis and conclude that small cap returns are close enough to 10% that we cannot say they are significantly different from 10%.
　　D.    Reject the null hypothesis and conclude that small cap returns are significantly different from 10%.
　　解析：
　　Answer: D
　　Explanation: At the 5% level of significance, the critical z-statistic for a two-tailed test is 1.96 (assuming a large sample size). The null hypothesis is H0: x = 10%. The alternative hypothesis is H1: x ≠ 10%. Because the computed z-statistic is greater than the critical z-statistic, we reject the null hypothesis and we conclude that small cap returns are significantly different from 10%.
　　知识点：
　　Test Statistic
　　A test statistic is a value, determined from sample information, used to determine whether or not to reject the null hypothesis.
　　Common Test Statistic:
　　l  Z-Test
 
　　l  T-Test
 

 
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