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ch 17 the small p - value means that the sample data has a strong evide…

Question

ch 17 the small p - value means that the sample data has a strong evidence against ho. true false question 12 1 pts ch 17 how many steps should we follow to conduct a test of hypothesis? 8 5 7 4 question 13 1 pts ch 17 the z confidence interval for the mean of a normal population will have a specified margin of error m when the sample size is: n=(zσ / m)^2. n = zσ / m. n=(z / m)^2. n=(z*σ / m).

Explanation:

Brief Explanations
  • For Question 11: In hypothesis - testing, a small p - value (usually less than the significance level, e.g., 0.05) indicates that the observed sample data is unlikely to have occurred if the null hypothesis (H₀) is true, thus providing strong evidence against H₀.
  • For Question 12: The general steps for hypothesis - testing include stating hypotheses, choosing a significance level, identifying the test statistic, finding the critical region or p - value, calculating the test statistic, making a decision, and stating the conclusion, which sums up to 7 steps.
  • For Question 13: The formula for the margin of error \(m\) of a z - confidence interval for the population mean \(\mu\) is \(m = z^*\frac{\sigma}{\sqrt{n}}\), where \(z^*\) is the critical value, \(\sigma\) is the population standard deviation, and \(n\) is the sample size. Solving for \(n\) gives \(n=(z^*\sigma/m)^2\).

Answer:

Question 11: True
Question 12: 7
Question 13: \(n=(z^*\sigma/m)^2\)