The graph below shows the results from constructing 100 different confidence intervals of the same confidence level, each based on a different sample of size n =75 from a population in which the population proportion is p=0.8. Each vertical line in the figure below spans the length of a different confidence interval. 1.0- 0.9- 0.8 0.7 0.6- 0.5 0 20 40 60 80 100 Sample Number Based on these results, what is the most likely value of the confidence level used in constructing these confidence intervals? (A) 75% (B) 80% (C) 90% (D) 99% (E) 100%

If actual period demand varies from the forecast by more than 3MAD, this indicates: there is 3% chance that the forecast is wrong. there is a 98% chance that the forecast is wrong. there is a 97% chance that the forecast is wrong. there is a 3% chance that the forecast is correct Moving to the next question prevents changes to this answer:

If n=14, ¯xx¯(x-bar)=34, and s=4, construct a confidence interval at a 80% confidence level. Assume the data came from a normally distributed population.

If n=200 and X=70, construct a 99% confidence interval estimate for the population proportion. SAS (Round to four decimal places as needed.)

If n=20, ¯xx¯(x-bar)=43, and s=10, construct a confidence interval at a 98% confidence level. Assume the data came from a normally distributed population.Give your answers to one decimal place.

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Imagine that you obtain a random sample of 125 M&M candies, and you notice that 28% of these candies are blue. If we convert the sample percentage of 0.28 to a sample proportion (by dividing 28 by 100), we get 0.28.

Which type of confidence interval should you use in this situation? A sample of 25 different payroll departments found that the employees worked an average of 310.3 days a year with a standard deviation of 23.8 days. The distribution is approximately normally distributed. Find the 90% confidence interval for the average days worked of all payroll departments.   Question 2 options:   1)  a confidence interval for the mean using a table value from the standard normal distribution.   2)  a confidence interval for the mean using a table value from the t distribution.   3)  a confidence interval for a proportion using a table value from the standard normal distribution.   4)  a confidence interval for proportion using a table value from the t distribution.   5)  none of the above.

create a 90% confidence interval for the following data:  x = 25 n = 100

If n=17, ¯xx¯(x-bar)=50, and s=20, construct a confidence interval at a 98% confidence level. Assume the data came from a normally distributed population.