Question 1

A sample of size n is selected at random from an infinite population. As n increases, the standard error of the sample mean increases.

Accepted Answer

A) True 
 B)False

Question 2

A sample of size 200 is taken at random from an infinite population. Given that the population proportion is 0.60, the probability that the sample proportion is between 0.58 and 0.62 is:

Accepted Answer

A)  0.4314 
B)  0.0320 
C)  0.0200 
D)  None of these choices. 
A)  0.4314 
B)  0.0320 
C)  0.0200 
D)  None of these choices.

Question 3

The standard error of the mean for a sample of 100 is 25. In order to cut the standard error of the mean in half (to 12.5) we must:

Accepted Answer

A)  increase the sample size to 200. 
B)  decrease the sample size to 50. 
C)  keep the sample size at 100 and change something else. 
D)  None of these choices. 
A)  increase the sample size to 200. 
B)  decrease the sample size to 50. 
C)  keep the sample size at 100 and change something else. 
D)  None of these choices.

Question 4

If all possible samples of size n are drawn from an infinite population with standard deviation 8, then the standard error of the sample mean equals 1.0 if the sample size is 64.

Accepted Answer

A) True 
 B)False

Question 5

A sample of 250 observations is selected at random from an infinite population. Given that the population proportion is .25, the standard error of the sampling distribution of the sample proportion is:

Accepted Answer

A)  0.0274 
B)  0.5000 
C)  0.0316 
D)  0.0548 
A)  0.0274 
B)  0.5000 
C)  0.0316 
D)  0.0548

Question 6

A randomly selected value of   is likely to be ____________________ to(than) the mean of the population than is a randomly selected value of X.

Accepted Answer

The answer of A randomly selected value of  ...

Question 7

As the size of the sample is increased, the mean of   increases.

Accepted Answer

A) True 
 B)False

A sample of size n is selected at random from an infinite population. As n increases, the standard error of the sample mean increases.

A sample of size 200 is taken at random from an infinite population. Given that the population proportion is 0.60, the probability that the sample proportion is between 0.58 and 0.62 is:

The standard error of the mean for a sample of 100 is 25. In order to cut the standard error of the mean in half (to 12.5) we must:

If all possible samples of size n are drawn from an infinite population with standard deviation 8, then the standard error of the sample mean equals 1.0 if the sample size is 64.

A sample of 250 observations is selected at random from an infinite population. Given that the population proportion is .25, the standard error of the sampling distribution of the sample proportion is:

A randomly selected value of is likely to be ____________________ to(than) the mean of the population than is a randomly selected value of X.

As the size of the sample is increased, the mean of increases.

What Is Statistics

Graphical and Tabular Descriptive Techniques

Numerical Descriptive Techniques

Data Collection and Sampling

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Introduction to Estimation

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populations, Part 1

Inference About Comparing Two Populations, Part 2

Analysis of Variance

Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Review of Statistical Inference

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Exam 8: Sampling Distributions

A sample of size n is selected at random from an infinite population. As n increases, the standard error of the sample mean increases.

A sample of size 200 is taken at random from an infinite population. Given that the population proportion is 0.60, the probability that the sample proportion is between 0.58 and 0.62 is:

The standard error of the mean for a sample of 100 is 25. In order to cut the standard error of the mean in half (to 12.5) we must:

If all possible samples of size n are drawn from an infinite population with standard deviation 8, then the standard error of the sample mean equals 1.0 if the sample size is 64.

A sample of 250 observations is selected at random from an infinite population. Given that the population proportion is .25, the standard error of the sampling distribution of the sample proportion is:

A randomly selected value of is likely to be ____________________ to(than) the mean of the population than is a randomly selected value of X.

As the size of the sample is increased, the mean of increases.

What Is Statistics

Graphical and Tabular Descriptive Techniques

Numerical Descriptive Techniques

Data Collection and Sampling

Probability

Random Variables and Discrete Probability Distributions

Continuous Probability Distributions

Introduction to Estimation

Introduction to Hypothesis Testing

Inference About a Population

Inference About Comparing Two Populations, Part 1

Inference About Comparing Two Populations, Part 2

Analysis of Variance

Chi-Squared Tests

Simple Linear Regression and Correlation

Multiple Regression

Review of Statistical Inference

Filters