Question

Suppose that you are testing the hypotheses $H_0: p = 0.25$ vs. $H_A: p \neq 0.25$. A sample of size 200 results in a sample proportion of 0.29. a) Construct a 95% confidence interval for $p$. b) Based on the confidence interval, can you reject $H_0$ at $\alpha = 0.05$? Explain. c) What is the difference between the standard error and standard deviation of the sample proportion? d) Which is used in computing the confidence interval? a) The 95% confidence interval for $p$ is ($\boxed{\text{ }}$\boxed{\text{ }}$). (Round to three decimal places as needed.)

          Suppose that you are testing the hypotheses $H_0: p = 0.25$ vs. $H_A: p \neq 0.25$. A sample of size 200 results in a sample proportion of 0.29.
a) Construct a 95% confidence interval for $p$.
b) Based on the confidence interval, can you reject $H_0$ at $\alpha = 0.05$? Explain.
c) What is the difference between the standard error and standard deviation of the sample proportion?
d) Which is used in computing the confidence interval?
a) The 95% confidence interval for $p$ is ($\boxed{\text{ }}$\boxed{\text{ }}$).
(Round to three decimal places as needed.)

$Suppose that you are testing the hypotheses H0: p = 0.25 vs. HA: p ≠ 0.25. A sample of size 200 results in a sample proportion of 0.29. a) Construct a 95% confidence interval for $p$. b) Based on the confidence interval, can you reject H0 at α = 0.05? Explain. c) What is the difference between the standard error and standard deviation of the sample proportion? d) Which is used in computing the confidence interval? a) The 95% confidence interval for $p$ is ($\boxed{\text{ }}$\boxed{\text{ }}$). (Round to three decimal places as needed.)$

Added by Amy V.

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