Solution:-
a) Two tailed test
b)
State the hypotheses. The first step is to state the null hypothesis and an alternative hypothesis.
Null hypothesis: P = 0.92
Alternative hypothesis: P ? 0.92
Note that these hypotheses constitute a two-tailed test.
Formulate an analysis plan. For this analysis, the significance level is 0.05. The test method, shown in the next section, is a one-sample z-test.
Analyze sample data. Using sample data, we calculate the standard deviation (S.D) and compute the z-score test statistic (z).
S.D = sqrt[ P * ( 1 - P ) / n ]
S,.D = 0.00598
z = (p - P) / ?
z = 6.88
where P is the hypothesized value of population proportion in the null hypothesis, p is the sample proportion, and n is the sample size.
Since we have a two-tailed test, the P-value is the probability that the z-score is less than -6.88 or greater than 6.88.
Thus, the P-value = less than 0.001
Interpret results. Since the P-value (almsot 0) is less than the significance level (0.05), we have to reject the null hypothesis.
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