Exam 6: Sampling and Sampling Distributions

Define systematic random sampling approach.

SELECT ALL THAT APPLY. -Probability

If the mean and standard deviation of a population are 436 and 103 respectively,then for a sample with a mean of 389 and a standard deviation of 96,the sampling error is 7.

A method of sampling that enables researchers to specify for each case in the population the probability of its inclusion in the sample is referred to as ______ sampling.

The Law School Admission Test (LSAT)is designed so that test scores are normally distributed.The mean LSAT score for the population of all test-takers in 2005 was 154.35 with a standard deviation of 5.62.If you drew all possible random samples of size 100 from the population of LSAT test-takers and plotted the values of the mean from each sample,the resulting distribution would be the sampling distribution of the mean.What is the value of the mean of the sampling distribution?

Parameter is a measure used to describe the sample distribution.

In a simple random sample

Consider the following population of 10 students with their corresponding test scores. Randomly draw 20 possible samples of size N = 4,and compute the mean scores for each sample.Also obtain the mean of the sampling distribution.

If all possible random samples of size N are drawn from a population with a mean of μY and a standard deviation of óᵧ,then as N becomes larger,the sampling distribution of sample means becomes approximately normal with a mean of and a standard deviation of ó?.This statement is known as the

Which of the following is the notation for the sample mean?

If the mean and standard deviation of a population are 436 and 103 respectively,what is the standard error of the mean for a sample of size 8?

The Law School Admission Test (LSAT)is designed so that test scores are normally distributed.The mean LSAT score for the population of all test-takers in 2005 was 154.35 with a standard deviation of 5.62.From Data Set 1,if you drew all possible random samples of size 100 from the population of LSAT test-takers and plotted the values of the mean from each sample,the resulting distribution would be the sampling distribution of the mean.Would this sampling distribution be a normal distribution?

What is the difference between a parameter and a statistic?

Consider the following population of 10 students with their corresponding test scores. Randomly draw 20 possible samples of size N = 4,and compute the mean scores for each sample.

Disproportionate stratified sampling is especially useful when the size of some of the subgroups in the population is relatively equal.

How is probability sampling useful?

Explain the central limit theorem.

The Law School Admission Test (LSAT)is designed so that test scores are normally distributed.The mean LSAT score for the population of all test-takers in 2005 was 154.35 with a standard deviation of 5.62.If the LSAT scores were not normally distributed,would the sampling distribution of the mean be a normal distribution if the sample size was 100?

In a population of 100 scores,if 20 was our sample size,then using systematic random sample,the value of K is 5.

Which of the following sampling approaches first divides the population into subgroups based on one or more variables of interest?