A publisher reports that 39% of their readers own a laptop. A marketing executive wants to test the claim that the percentage is actually more than the reported percentage. A random sample of 250 found that 48% of the readers owned a laptop. Is there sufficient evidence at the 0.02 level to support the executive's claim?
Step 1 of 7: State the null and alternative hypotheses.
Step 2 of 7: Find the value of the test statistic. Round your answer to two decimal places.
Step 3 of 7: Specify if the test is one-tailed or two-tailed.
Step 4 of 7: Determine the P-value of the test statistic. Round your answer to four decimal places.
Step 5 of 7: Identify the value of the level of significance.
Step 6 of 7: Make the decision to reject or fail to reject the null hypothesis.
Step 7 of 7: State the conclusion of the hypothesis test.
Solution :
The null and alternative hypothesis is
H0 : p = 0.39
Ha : p > 0.39
= 0.48
1 - P0 = 0.61
Test statistic = z
= - P0 / [P0 * (1 - P0 ) / n]
= 0.48 - 0.39 / [(0.39 * 0.61) / 250]
z = 2.92
The test is one-tailed
P-value = 0.0018
The level of significance () = 0.02
P-value >
Fail to reject the null hypothesis.
There is insufficient evidence to support the claim that the percentage is actually more than the reported percentage.
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