What t∗t∗ critical value would you use for a confidence interval for the population mean in each of the following situations? Use 3 decimal places.        a) For a 95% confidence interval based on n = 13 observations:____________ b) For a 99% confidence interval from an SRS of 23 observations:___________ c) For an 80% confidence interval from a sample of size 6:

#11 A sample of 2,018 American adults was asked how they viewed China, with 13% of respondents calling the country "unfriendly" and 9% of respondents indicating the country was "an enemy". Construct a 95% confidence interval of the proportion of American adults who viewed China as either "unfriendly" or "an enemy." Multiple Choice [0.2049, 0.2351] [0.1916, 0.2484] [0.2111, 0.2289] [0.2019, 0.2381]

W: 6.1 & 6.2 16 K Question 14, 6.1.35 Part 1 of 3 HW Score: 47.14%, 16.5 of 35 points O Points: 0 of 1 Save You are given the sample mean and the population standard deviation. Use this information to construct the 90% and 95% confidence intervals for the population mean. Interpret the results and compare the widths of the confidence intervals. If convenient, use technology to construct the confidence intervals. A random sample of 55 home theater systems has a mean price of $119.00. Assume the population standard deviation is $16.30. Construct a 90% confidence interval for the population mean. The 90% confidence interval is (D). (Round to two decimal places as needed.) e solve this View an example Get more help - sty cloudy N 40+ # Q Search % 0+ A 0 6 7 28 & 8 9 0 Clear all Delete Backspace Lock 10.00 PM 4372024 7 Home CO 6 PgUp

Question #2

Ch. 6.1 CI We examine the effect of different inputs on determining the sample size needed to obtain a specific margin of error when finding a confidence interval for a proportion. Find the sample size needed to give, with 95% confidence, a margin of error with +/- 6% when estimating a proportion. Within +/- 4%. Within +/- 1%. (Assume  no prior knowledge about the population proportion p). Comment on the relationship between the sample size and the desired margin of error.

What proportion of people living in Quebec believes in Quebec sovereignty? A random sample of n = 375 persons living in Quebec was recently taken, of which K, the number sampled who believe Quebec should be a sovereign nation, was observed to be K=157.(a) Find a 95% confidence interval for the proportion of all persons living in Quebec who believe that Quebec should be a sovereign nation.____________ ≤ μ ≤ ____________(b) Correctly complete the interpretation of the 95%:Based on: ____________  the percentage of: A. everyone living in Quebec that belive in sovereignty B. everyone sampled who live in Quebec that belive in sovereignty     is somewhere between ____________ % and ___________ %.

Can you help me with this question?

This is what it means to be "95% confident" when we create a 95% confidence interval for thepopulation mean: If we take repeated random samples of the same size ? from our population andcalculate all of the sample means and all of the corresponding 95% confidence intervals, we expect__________  of those intervals will contain the true population mean (µ).

ch.8 confidence interval mean A researcher is interested in finding a 98% confidence interval for the mean number minutes students are concentrating on their professor during a one hour statistics lecture. The study included 144 students who averaged 37.5 minutes concentrating on their professor during the hour lecture. The standard deviation was 11.3 minutes.   b. With 98% confidence the population mean minutes of concentration is between (round to 3 decimal places) _____ and _____  minutes. c. If many groups of 144 randomly selected members are studied, then a different confidence interval would be produced from each group. About _____ percent of these confidence intervals will contain the true population mean minutes of concentration and about _______ percent will not contain the true population mean minutes of concentration.

An estimator that tends to produce more accurate estimates of the population parameter as the sample size increases is best characterized as a(n)_____________Select one: A. A consistent estimator approaches the estimated population parameter as the sample size grows larger. B. An unbiased estimator is consistent if its standard error is lower than that of other estimators of the estimated population parameter. C. An estimator is consistent if its expected value equals the estimated population parameter. D. An estimator is consistent if it always gives the correct value of the estimated population parameter.