How do you find the point estimate of the population mean?

Suppose that you want to find out the average weight of all players on the football team at Landers College. You are able to select ten players at random and weigh them. The mean weight of the sample of players is 198, so that number is your point estimate. Assume that the population standard deviation…

Suppose that you want to find out the average weight of all players on the football team at Landers College. You are able to select ten players at random and weigh them. The mean weight of the sample of players is 198, so that number is your point estimate. Assume that the population standard deviation is σ = 11.50.Click to see full answer. Besides, what is the point estimate of the population mean?Point Estimate. A point estimate of a population parameter is a single value used to estimate the population parameter. For example, the sample mean x is a point estimate of the population mean μ.Likewise, how do you find the point estimate of the population standard deviation? First, let’s review how to calculate the population standard deviation: Calculate the mean (simple average of the numbers). For each number: Subtract the mean. Square the result. Calculate the mean of those squared differences. Take the square root of that to obtain the population standard deviation. Then, how do you find the point estimate of the population proportion? p′ = x / n where x represents the number of successes and n represents the sample size. The variable p′ is the sample proportion and serves as the point estimate for the true population proportion.How do you determine the size of a sample? How to Find a Sample Size Given a Confidence Interval and Width (unknown population standard deviation) za/2: Divide the confidence interval by two, and look that area up in the z-table: .95 / 2 = 0.475. E (margin of error): Divide the given width by 2. 6% / 2. : use the given percentage. 41% = 0.41. : subtract. from 1.

Similar Posts

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.