Consider an x distribution with standard deviation =36.      If specifications for a research project require the standard error of the corresponding x distribution to be 2 how large does the sample size need to be.  N=            Part b) if specifications for a research project require the standard error of the corresponding x distribution to be 1, how large does the sample size need to be ?

6) A normal distribution has mean 500 and variance 2500. Find the area under the normal curv the mean to 600.

12.) The FAA has to periodically revise their rules regarding weight estimates. Airlines use anestimate for the weight of a passenger of 195 lbs. (an adult traveling in winter including 20 lbs.of baggage). According to your textbook, assume that men (not carrying baggage) have weightsthat are normally distributed with a mean of 188.6 lbs. and a standard deviation of 38.9 lbs.a.) If one adult male is randomly selected and is assumed to be carrying 20 lbs. carry-onbaggage, find the probability that the total weight is greater than 195 lbs.b.) What total weight would separate the lower 20% of men carrying 20 lbs. of baggage fromthe top 80%?

4. Sample Size. How does the sample size affect how close to normal a distribution of either sample means or sample pro- portions will be? What are the means and standard deviations of the distributions in each case? hp

The scores of individual students on the American College Testing (ABC) program composite college entrance examination have a normal distribution with a mean 18.6and a standard deviation 6.0.  At Northside high, 36 seniors take the test.   Assume that the scores at this school have the same distribution as national scores. A) What is the sampling distribution of the sample mean score of randomly selected 36 students?(show work) B) what is the distribution of a randomly selected one student?(show work)

Suppose I want to sample the household incomes for EBR parish. Let's say I start with a simple random sample of 100 residents and calculate the sample mean. How would the sampling distribution of    change if I increase the sample size to 1,000 residents?

Calculating sample variance requires a slight modification in the formula as compared to calculate in population variance. Why? a) the population parameter is equal to the sample statistic b) the sample variability is too difficult to measure directly c) samples have systematically more variability than the populations from which they are drawn d) samples have systematically less variability than the populations from which they are drawn

A B c D