when the level of confidence and sample proportion remain the same, a confidence interval for a...
true or false 11. When the level of confidence and the sample size remain the same, a confidence interval for a population mean y will be narrower, when the sample standard deviation s is smaller than when s is larger. Chapter 10 12. The closer is the hypothesized mean is from the actual mean the higher is the power of the test. 13. The manager of the quality department for a tire manufacturing company wants to know the average tensile...
At a confidence level of 95% a confidence interval for a population proportion is determined to be 0.65 to 0.75. If the sample size had been larger and the estimate of the population proportion the same, this 95% confidence interval estimate as compared to the first interval estimate would be Group of answer choices narrower. the same. wider.
11. [6 points] Using a sample of 100 children, a 95% confidence interval for the proportion of children under the age of 18 who had asthma was constructed to be (0.085,6.23) a) Which of the following would produce a confidence interval which is narrower than the constructed 95% confidence interval? Sample 150 children rather than 100, (Maintain the confidence level at 95%) Sample only 80 children rather than 100, (Maintain the confidence level at 95%) . (b) Which of the...
True or False? The higher the confidence level, the narrower is the confidence interval for the mean. Select an answer The most efficient point estimator for the population mean ù is the sample median . Select an answer • To reduce the width of a confidence interval, we can increase the sample size n. Select an answer • As long as the population is normal with variance o’, the statistic (n-1) S2 has a Chi-squared 02 distribution with n degrees...
QUESTION 1 Suppose we have a sample size of 100 and calculate a confidence interval. What will happen to that interval if we then get a sample size of 200 (all else equal). It will become narrower It will become wider. It will remain the same, because the mean is not changing It will get closer to 1.96. QUESTION 1 Suppose we have a sample size of 100 and calculate a confidence interval. What will happen to that interval if...
1. In simple linear regression analysis, we assume that the variance of the independent variable (X) is equal to the variance of the dependent variable (Y) True False 2. The standard deviation of the sampling distribution of the sample mean is the same as the population standard deviation. True False 3. If n=20 and p=.4, then the mean of the binomial distribution is 8 True False 4. If a population is known to be normally distributed, then it follows that...
19. When calculating a confidence interval, keeping the sample size the same but decreasing the confidence level, will a. decrease the width of the confidence interval b. decrease the margin of error c. make us less sure that our confidence interval contains the true parameter d. all of the above 20. A research company polled a random sample of 799 U.S. teens about internet use.0.49 of those teens reported that they had misrepresented their age online to gain access to...
Compute the 95% confidence interval estimate for the population proportion, p, based on a sample size of 100 when the sample proportion, is equal to 0.28. What is the upper bound of this confidence interval? (Round to three decimal places as needed.)
Based on a random sample of 120 rhesus monkeys, a 95% confidence interval for the proportion of rhesus monkeys that live in a captive breeding facility and were assigned to research studies is (0.67, 0.83). Which of the following is true? A. If we used a different confidence level, the point estimate would remain in the center of the confidence interval. B. A larger sample size would yield a wider confidence interval. C. The margin of error for the confidence...
Which must be true about a 95% confidence interval based on a given sample? I. The interval is wider than a 99% confidence interval would be. II. The interval contains 95% of the population. III. The interval is narrower than a 90% confidence interval would be.