Suppose we know that, historically, the standard deviation of annual rainfall in a particular state is...
A meteorologist in Jenkins county is interested in estimating the average annual rainfall of the region. The annual rainfall is assumed to follow a normal distribution. She takes a sample of last 10 years and obtains an alterage annual rainfall of 39.5 inches and a standard deviation of 3.8 inches. Estimate a 95% confidence interval for the population mean. 39.5 +/-
Problem 6. Suppose that we know that the population standard deviation σ = 5. Then for a 90% confidence interval, how large should a sample be to estimate the population mean μ with a margin of error not exceeding 0.5?
Question number 7 The population standard deviation for the height of college basketball players is 3 inches. If we want to estimate 95% confidence interval for the population mean height of these players with a 0.5 margin of error, how many randomly selected players must be surveyed? (Round us your answer to nearest whole number) I don't know
According to the Current Results website, the state of California has a mean annual rainfall of 21 inches, whereas the state of New York has a mean annual rainfall of 37 inches. Assume that the standard deviation for both states is 3 inches. A sample of 30 years of rainfall for California and a sample of 45 years of rainfall for New York has been taken. Use z-table. a. Show the probability distribution of the sample mean annual rainfall for...
I have done what I can now stuck
15. Researchers are interested in the average height of 11-year old boys. Fifteen randomly selected boys were surveyed and the data is shown to the right heights of 11-year old boys (inches) (a) Determine the mean and standard deviation of this sample data. 56.8 mean 3.78 standard deviation 58 61 55 56.8 3.783422487 (b) Determine the margin of error amount in using this sample result to estimate the average height based upon...
we wish to estimate μ, the mean length of the fish in our pond. we take a random sample of 65 fish and measure their lengths. for this sample, we find an average length of 4.53 cm, and a standard deviation of 0.8cm. i) using our observations as a pilot study, determine the sample size needed to estimate the mean μ within 0.1cm with 95% confidence. ii) find the upper confidence interval for μ
In this exercise, we examine the effect of the confidence level on determining the sample size needed. Find the sample size needed to give a margin of error within plus or minus 4 with 99% confidence. With 95% confidence. With 90% confidence. Assume that we use σ=35 as our estimate of the standard deviation in each case. Round your answers up to the nearest integer. 99% n= 95%n= 90% n=
The population standard deviation for the height of college basketball players is 2.9 inches. If we want to estimate 99% confidence interval for the population mean height of these players with a 0.5 margin of error, how many randomly selected players must be surveyed? ____ (Round up your answer to nearest whole number)
The population standard deviation for the height of college basketball players is 3.5 inches. If we want to estimate 97% confidence interval for the population mean height of these players with a 0.5 margin of error, how many randomly selected players must be surveyed? (Round up your answer to nearest whole number) Answer:
We intend to estimate the average driving time of Chicago commuters. From a previous study, we believe that the average time is 42 minutes with a standard deviation (o) of 6 minutes. our 99 percent confidence interval to have a margin of error of no more than plus or minus 2 minutes. What is the smallest sample size that we should consider? We want O 120 O 12 60 08