The mean and standard deviation of a population are 200 and 20, respectively. Suppose samples of size 36 are drawn. What is the standard deviation of the sampling distribution?

Give the mean and the standard deviation of the distribution of means for mean=100; Variance=100; sample size=10

Exam scores have a normal distribution, with Mean of 70 and Standard deviation of 10. Bob’s score was 80. Find and interpret his standard score.

A successful basket ball player has a height of 6 feet 4 inches. Based on statistics his height converts to the z score 2.66. How many standard deviations in his height above the mean

The average cost of a car rental is $0.32 per mile.  The standard deviation is $0.03.  Using Chebyshev's theorem, find the range in which at least 75% of the data value will fall.

For a random sample of 55 overweight men, the mean of the number of pounds that they were overweight was 31. The standard deviation of the population is 3.8 pounds  The best point estimate of the mean is ________ pounds.

What is the shape of the sampling distribution of x?

Six different​ second-year medical students at Bellevue Hospital measured the blood pressure of the same person. The systolic readings​ (in mmHg) are listed below. Find the​ range, variance, and standard deviation for the given sample data. If the​ subject's blood pressure remains constant and the medical students correctly apply the same measurement​ technique, what should be the value of the standard​ deviation?

Use a normal distribution table or a statistical calculator to answer this question. A farm produces 10,000 eggs in a day. The mean mass of an egg is 59 grams. The standard deviation is 5 grams. An egg is "extra-large" if it has a mass between 63 and 69 grams. To the nearest ten eggs, how many extra-large eggs does the farm produce in a day?

A normal population has a mean of $95 and standard deviation of $14. You select random samples of 50. what is the standard error of the sampling distribution of sample means?