10)
a)
the sample proportion p = 0.5339
b)
Answer:
Type of Test: z test
Test statistic: z = 3.19
Critical value: z = 1.64
P-value: p-value = 0.0007
Reject or Fail to Reject: Reject the null hypothesis
Explanation:
Hypothesis:
The null and alternative hypotheses are defined as,
This is a right-tailed test
Type of Test:
To test whether there is a significant difference in results from the survey, the z test for the one proportion is used since the sample data values satisfy the normality condition
Test statistic:
The z-statistic is obtained using the formula,
Critical value:
Let the significance level = 0.05
The z critical value is obtained from the standard normal distribution table for significance level = 0.05 for one-tailed distribution.
P-value:
The p-value is obtained from z-distribution table for z = 3.19 for right-tailed test
Reject or Fail to Reject:
Since the P-value is 0.0007 is less than 0.05 at 5% significant level, the null hypothesis is rejected.
12)
a)
Answer:
Explanation:
b)
Answer:
Type of Test: z test
Test statistic: z = 0.27
Critical value: z = 1.64
P-value: p-value = 0.3945
Reject or Fail to Reject: Fail to Reject the null hypothesis
Explanation:
Hypothesis:
The null and alternative hypotheses are defined as,
This is a right-tailed test
Type of Test:
To test whether there is a significant difference in results from the survey, the z test for the one proportion is used since the sample data values satisfy the normality condition
Test statistic:
The z-statistic is obtained using the formula,
Critical value:
Let the significance level = 0.05
The z critical value is obtained from the standard normal distribution table for significance level = 0.05 for one-tailed distribution.
P-value:
The p-value is obtained from z-distribution table for z = 0.268 for right-tailed test
Reject or Fail to Reject:
Since the P-value is 0.3945 is greater than 0.05 at 5% significant level, the null hypothesis is not rejected.
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