Answer :
Answer:
All but last statement are correct.
Step-by-step explanation:
- If we were to use a 90% confidence level, the confidence interval from the same data would produce an interval wider than the 95% confidence interval.
True. Confidence interval gets wider as the confidence level decreases.
- The sample proportion must lie in the 95% confidence interval.
True. Confidence interval is constructed around sample mean.
- There is a 95% chance that the 95% confidence interval actually contains the population proportion.
True. Constructing 95%. confidence interval for a population proportion using a sample proportion from a random sample means the same as the above statement.
- We don't know if the 95% confidence interval actually does or doesn't contain the population proportion
True. There is 95% chance that confidence interval contains population proportion and 5% chance that it does not.
- The population proportion must lie in the 95% confidence interval
False. There is 95% chance that population proportion lies in the confidence interval.