Suppose that an economist believes a certain macro-finance model for stock marke
ID: 3259502 • Letter: S
Question
Suppose that an economist believes a certain macro-finance model for stock market as a true model. This model gives her a prediction that the U.S. average annual real return for equity (=stock) is 2.5 percent. The sample data for 1889-1988 (100 years), however, gives her the sample mean 6.5 percent and sample variance 256 percent squared. If we can allow probability of the Type I error to be up to 5 percent, would you advise her to keep using the model? Justify your advice using statistical analysis.Explanation / Answer
Here we have given population mean = 2.5, sample size = 100, sample mean = 6.5 sample standard deviation = 16.
(I deliberately ignore the percent unit for the calculation purpose only).
population standard deviation is not known. So we used one sample t - test for testing of hypothesis.
Null hypothesis : Ho: The model gives average annual real return for equity is 2.5.
Alternative hypothesis H1: The model does not gives average annual real return for equity is 2.5.
Solve this problem by using MINITAB, follow the procedure:
Choose Stat > Basic Statistics > 1-Sample t.
In Summarized data enter Sample size, mean, and standard deviation .
Check Perform hypothesis test. In Hypothesized mean, enter 2.5.
Click Options. In Confidence level, enter 95. Click OK in each dialog box.
Session window output
MTB > Onet 100 6.5 16;
SUBC> Test 2.5.
One-Sample T
Test of mu = 2.5 vs not = 2.5
N Mean StDev SE Mean 95% CI T P
100 6.50 16.00 1.60 (3.33, 9.67) 2.50 0.014
Decision rule: 1) If p-value < level of significance (alpha) then we reject null hypothesis
2) If p-value > level of significance (alpha) then we fail to reject null hypothesis.
Here p value = 0.014 < 0.05 so we used first rule.
That is we reject null hypothesis and accept alternative hypothesis.
Conclusion: At 5% level of significance there are sufficient evidence to say that the model does not gives average annual real return for equity is 2.5.
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