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Question 2

1pts
You wish to test the following claim 
(H_(a)) at a significance level of 
alpha=0.05.

{:[H_(o):p=0.42],[H_(a):p > 0.42]:}
You obtain a sample of size 
n=143 in which there are 73 successful observations. For this test, you should NOT use the continuity correction, and you should use the normal distribution as an approximation for the binomial distribution.
What is the critical value? Round to 2 decimal places.
Question 3

1pts

Question 22\newline1pts 1 \mathrm{pts} \newlineYou wish to test the following claim (Ha) \left(\mathrm{H}_{\mathrm{a}}\right) at a significance level of α=0.05 \alpha=0.05 .\newlineHo:p=0.42Ha:p>0.42 \begin{array}{l} \mathrm{H}_{\mathrm{o}}: p=0.42 \\ \mathrm{H}_{\mathrm{a}}: p>0.42 \end{array} \newlineYou obtain a sample of size n=143 n=143 in which there are 7373 successful observations. For this test, you should NOT use the continuity correction, and you should use the normal distribution as an approximation for the binomial distribution.\newlineWhat is the critical value? Round to 22 decimal places.\newlineQuestion 33\newline1pts 1 \mathrm{pts}

Full solution

Q. Question 22\newline1pts 1 \mathrm{pts} \newlineYou wish to test the following claim (Ha) \left(\mathrm{H}_{\mathrm{a}}\right) at a significance level of α=0.05 \alpha=0.05 .\newlineHo:p=0.42Ha:p>0.42 \begin{array}{l} \mathrm{H}_{\mathrm{o}}: p=0.42 \\ \mathrm{H}_{\mathrm{a}}: p>0.42 \end{array} \newlineYou obtain a sample of size n=143 n=143 in which there are 7373 successful observations. For this test, you should NOT use the continuity correction, and you should use the normal distribution as an approximation for the binomial distribution.\newlineWhat is the critical value? Round to 22 decimal places.\newlineQuestion 33\newline1pts 1 \mathrm{pts}
  1. Calculate Sample Proportion: Calculate the sample proportion p^\hat{p} by dividing the number of successful observations by the sample size.p^=73143\hat{p} = \frac{73}{143}
  2. Find Standard Error: Find the standard error (SE) using the formula SE=(p×(1p))/nSE = \sqrt{\left(p \times (1 - p)\right) / n}, where pp is the assumed population proportion under the null hypothesis.\newlineSE=(0.42×(10.42))/143SE = \sqrt{\left(0.42 \times (1 - 0.42)\right) / 143}
  3. Calculate Z-Score: Calculate the z-score for the sample proportion without the continuity correction using the formula z=p^pSEz = \frac{\hat{p} - p}{SE}.\newlinez=p^0.42SEz = \frac{\hat{p} - 0.42}{SE}
  4. Look Up Critical Value: Look up the critical z-value for a one-tailed test at α=0.05\alpha = 0.05 using the standard normal distribution table or a calculator.\newlineThe critical z-value is approximately 1.6451.645.
  5. Round Critical Value: Round the critical zz-value to two decimal places as instructed.\newlineCritical value = 1.651.65