A young investor believes that he can beat the market by picking stocks that will increase in value. Assume that on average 46% of the stocks selected by a portfolio manager will increase over 12 months. Of the 27 stocks that the young investor bought over the last 12 months, 15 have increased. Can he claim that he is better at predicting increases than the typical portfolio manager? Test at α=0.05
Question: Calculate the test statistic.
Answer: _______________________ (round to two decimal places as needed.)
Question: What is the P-Value for the test statistic ?
Answer: _______________________ (round to three decimal places as needed.)
H0: Percentage of the stocks selected by a portfolio manager will increase over 12 months is 46%
H1: Percentage of the stocks selected by a portfolio manager will increase over 12 months is greater than 46%.
Hypothesized proportion, p = 0.46
Observed proportion, = 15/27 = 0.5556
Standard error of proportion, SE =
= 0.0959
Test statistic, z = ( - p) / SE = (0.5556 - 0.46) / 0.0959 = 1.00
P-Value for the test statistic = P(z > 1.00) = 0.159
Since, p-value is greater than 0.05 significance level, we fail to reject null hypothesis H0 and conclude that there is no strong evidence that percentage of the stocks selected by a portfolio manager will increase over 12 months is greater than 46%.
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