Answer:
All but last statement are correct.
Step-by-step explanation:
- <em>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.</em>
True. Confidence interval gets wider as the confidence level decreases.
- <em>The sample proportion must lie in the 95% confidence interval. </em>
True. Confidence interval is constructed around sample mean.
- <em>There is a 95% chance that the 95% confidence interval actually contains the population proportion.</em>
True. Constructing 95%. confidence interval for a population proportion using a sample proportion from a random sample means the same as the above statement.
- <em>We don't know if the 95% confidence interval actually does or doesn't contain the population proportion</em>
True. There is 95% chance that confidence interval contains population proportion and 5% chance that it does not.
- <em>The population proportion must lie in the 95% confidence interval</em>
False. There is 95% chance that population proportion lies in the confidence interval.
Answer:
The graph would look something like this...
Step-by-step explanation:
Answer: 77 degrees
Step-by-step explanation:
By the law of sines,

By proportion that would be 15/25 * 4 = 2.4 days