A publisher reports that 79% 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 200 found that 82% of the readers owned a laptop. Is there sufficient evidence at the 0.02 level to support the executive's claim?
Step 6 of 7:
Make the decision to reject or fail to reject the null hypothesis.
Solution :
This is the right tailed test .
The null and alternative hypothesis is
H0 : p = 0.79
Ha : p > 0.79
= 0.82
P0 = 0.79
1 - P0 = 1 - 0.79 = 0.21
Test statistic = z =
= - P0 / [P0 * (1 - P0 ) / n]
= 0.82 - 0.79 / [(0.79 * 0.21) / 200 ]
Test statistic = z = 1.04
P(z > 1.04) = 1 - P(z < 1.04) = 1 - 0.8508
P-value = 0.1492
= 0.02
P-value >
Fail to reject the null hypothesis
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