An IQ test is designed so that the mean is 100 and the standard deviation is 20 for the population of normal adults. Find the sample size necessary to estimate the mean IQ score of statistics students such that it can be said with 95% confidence that the sample mean is within 7 IQ points of the true mean. Assume that a=20 and determine the required sample size using technology. Then determine if this is a reasonable sample size for a real world calculation. The required sample size is (Round up to the nearest integer.) IID

The difference in the population means divided by the population standard deviation of a study is the blank?

How do I use Excel to calculate the SAMPLE STD DEVIATION of a column?

IQ is normally distributed with a mean of 100 and a standard deviation of 16. A local school is considering what its minimum IQ score should be for admission. What should the minimum IQ score be so that 90% of all students in the area can qualify for admission? How can I calculate this using Excel or by hand

korynn is calculating the variability in her data by measuring the average distance of scores from the mean. korynn is calculating the: standard deviation  mode range median

The empirical rule estabilishes the percentages that are 1,2, and 3 deviations from the mean True Flase

The sample mean X is to be used to estimate the mean u of a normal distribution with standard deviation 4 inches. How large a sample should be taken in order chat, with 90% probability, the estimate will be in error by at most one-half inch?

A medical statistician wants to estimate the average weight loss of people who are on a new diet plan. In a preliminary study, he guesses that the standard deviation of the population of weight loss is about 8 pounds. How large a sample should he take to estimate the mean weight loss to within 4 pounds, with 97% confidence? Sample Size =

QUESTION 3 What percent of scores are below an SAT score of 560?

Assume the data set described is normally distributed with the given mean and standard deviation, and with n total values. Find the approximate number of data values that will fall in the given range. Mean-8 Standard deviation-1.5 n-45 Range: 6.5 to 9.5 In this case, we expect about 52 data values to fall between 6.5 and 9.5.