You are conducting a study to see if the probability of catching the flu this year is significantly more than 0.66. Thus you are performing a right-tailed test. Your sample data produce the test statistic z=1.504. Find the p-value accurate to 4 decimal places.

A population of values has a normal distribution with 45.2 and a 67.7. You intend to draw a random sample of size n = 108. Please answer the following questions, and show your answers to 1 decimal place. Find the value separating the bottom 35% values from the top 65% values. Find the sample mean separating the bottpm 35% sample means from the top 65% sample means.

What is the z-score of x = 3 if it is 2 standard deviation to the left of the mean? -3 -2 1 O 2 1.

For a normal distribution with a mean of 371 and 28, what is the z-score that marks off scores below 345? Round your answer to 2 decimal places.

You want to obtain a sample to estimate how much parents spend on their kids birthday parties. Based on previous study, you believe the population standard deviation is approximately o = 61.5 dollars. You would like to be 90% confident that your estimate is within 1.5 dollar(s) of average spending on the birthday parties. How many parents do you have to sample? n =

Please answer the second question. Thank you.

Mrs. Berry claims to produce random numbers from 1 to 5 (inclusive) on her calculator, but you've been keeping track. In the past 80 selections, the number "five" has come up only 8 times. You suspect that the calculator is producing fewer fives than it should. Let p = the true long-run proportion of five's produced by the calculator. What is the approximate P-value for this test? 0.0028 O -2.24 O 0.0250 O -2.98 O 0.0126

You want to obtain a sample to estimate a population mean. Based on previous evidence, you believe the population standard deviation is approximately 79.8. You would like to be 95% confident that your estimate is within 5 of the true population mean. How large of a sample size is required?

Calculate the value of a normal random variable representing the bottom 20% of an approximately normal distribution with a mean of 74 and a standard deviation of 7. (Use a table or technology. Round your answer to one decimal place.)