A simple random sample size of n=81 is obtained from a population that is skewed right with u=81 and O=27  describe the sample distribution of x what is p(x>85.95) what is p(x>74.1) what is p(77.7

when a population is uniformly distributed (flat), is the sampling distribution of xbar for random samples of 2 observations roughly normal, strongly skewed, or triangular?

Suppose x has a distribution with mean 22 and standard deviation 16. If a random sample of size n=36 is drawn find p(22<×<24)

SAT scores in one state is normally distributed with a mean of 1496 and a standard deviation of 64. Suppose we randomly pick 43 SAT scores from that state. a) Find the probability that one of the scores in the sample is greater than 1503. P(X > 1503) = b) Find the probability that the average of the scores for the sample of 43 scores is greater than 1503. P(X > 1503) = Round each answer to at least 4 decimal places.

Suppose you are constructing a CI for a mean using T distribution and your sample size is 33. What would tge degree of freedom be for the t distribution that you would be using

The average wait time to get seated at a popular restaurant in the city on a Friday night is 12 minutes. Is the mean wait time different for men who wear a tie? Wait times for 14 randomly selected men who were wearing a tie are shown below. Assume that the distribution of the population is normal. 10, 13, 12, 12, 9, 12, 12, 13, 10, 11, 12, 13, 11, 10 What can be concluded at the the a = 0.10 level of significance level of significance? a. For this study, we should use Select an answer b. The null and alternative hypotheses would be: Ho: ? v Select an answer v H1: ? v Select an answer v c. The test statistic ? v (please show your answer to 3 decimal places.) d. The p-value (Please show your answer to 4 decimal places.) e. The p-value is ? v a f. Based on this, we should Select an answer v the null hypothesis. g. Thus, the final conclusion is that ... The data suggest the population mean is not significantly different from 12 at a = 0.10, so there is statistically insignificant evidence…

The average wait time to get seated at a popular restaurant in the city on a Friday night is 10 minutes.  Is the mean wait time less for men who wear a tie? Wait times for 15 randomly selected men who were wearing a tie are shown below. Assume that the distribution of the population is normal. 7, 10, 11, 9, 11, 7, 8, 11, 9, 9, 11, 9, 11, 9, 7 What can be concluded at the the α = 0.10 level of significance level of significance? For this study, we should use The null and alternative hypotheses would be:       H0:          H1:      The test statistic = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is α   Based on this, we should the null hypothesis. Thus, the final conclusion is that ... The data suggest the population mean is not significantly less than 10 at α = 0.10, so there is statistically insignificant evidence to conclude that the population mean wait time for men who wear a tie is equal to 10.…