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W4 Quiz

Question 1

1.

Parameters are

 numerical characteristics of a sample numerical characteristics of a population the averages taken from a sample numerical characteristics of either a sample or a population

Question 2

1.

Stratified random sampling is a method of selecting a sample in which

 the sample is first divided into strata, and then random samples are taken from each stratum various strata are selected from the sample the population is first divided into strata, and then random samples are drawn from each stratum None of these alternatives is correct.

Question 3

1.

A theorem that allows us to use the normal probability distribution to approximate the sampling distribution of sample means and sample proportions whenever the sample size is large is known as the

 approximation theorem normal probability theorem central limit theorem central normality theorem

Question 4

1.

In point estimation

 data from the population is used to estimate the population parameter data from the sample is used to estimate the population parameter data from the sample is used to estimate the sample statistic the mean of the population equals the mean of the sample

Question 5

1.

The sample statistic s is the point estimator of

 μ σ x ̅ p

Question 6

1.

The sample mean is the point estimator of

 μ σ x ̅ p-

Question 7

1.

The standard deviation of all possible x ̅ values is called the

 standard error of proportion standard error of the mean mean deviation central variation

Question 8

1.

A sample statistic, such as a sample mean, is known as

 a statistic a parameter the mean deviation the central limit theorem

Question 9

1.

The purpose of statistical inference is to provide information about the

 sample based upon information contained in the population population based upon information contained in the sample population based upon information contained in the population mean of the sample based upon the mean of the population

Question 10

1.

Random samples of size 81 are taken from an infinite population whose mean and standard deviation are 200 and 18, respectively. The distribution of the population is unknown. The mean and the standard error of the mean are

 200 and 18 81 and 18 9 and 2 200 and 2

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