Question 1

Inferential statistics are used to assess the importance of experimental results.

Accepted Answer

A) True 
 B)False  False

Question 2

The generally preferred measure of central tendency is usually the

Accepted Answer

A)  range. 
B)  mean. 
C)  standard deviation. 
D)  median. 
A)  range. 
B)  mean. 
C)  standard deviation. 
D)  median. B

Question 3

The ______________ divides a distribution in half.

Accepted Answer

A)  range 
B)  mean 
C)  mode 
D)  median 
A)  range 
B)  mean 
C)  mode 
D)  median D

Question 4

If the mean I.Q. score is 100 and the standard deviation of I.Q. scores is 15, then an I.Q. of 130 will have a z-score (or standard score) of

Accepted Answer

A)  1.00. 
B)  0.00. 
C)  2.00. 
D)  -2.00. 
A)  1.00. 
B)  0.00. 
C)  2.00. 
D)  -2.00.

Question 5

The absolute mean deviation is an adequate measure of dispersion, and it is preferable over the standard deviation and variance because of its usefulness in inferential statistics.

Accepted Answer

A) True 
 B)False

Question 6

Why should one try to maximize the sample size?

Accepted Answer

Maximizing the sample size in a study or

Question 7

All of the following statements are true of the normal distribution EXCEPT

Accepted Answer

A)  the mean and median coincide. 
B)  the most common scores lie near the mean. 
C)  the more rare the score is, the further from the mean it lies. 
D)  nearly all the scores lie outside of two standard deviations of the mean. 
A)  the mean and median coincide. 
B)  the most common scores lie near the mean. 
C)  the more rare the score is, the further from the mean it lies. 
D)  nearly all the scores lie outside of two standard deviations of the mean.

Question 8

As the sample size (n) increases,

Accepted Answer

A)  the standard error of the mean increases. 
B)  the power of the statistical tests decreases. 
C)  the probability of the Type II error increases. 
D)  the power of the statistical tests increases. 
A)  the standard error of the mean increases. 
B)  the power of the statistical tests decreases. 
C)  the probability of the Type II error increases. 
D)  the power of the statistical tests increases.

Question 9

The F statistic is

Accepted Answer

A)  the ratio of between-group variance to within-group variance. 
B)  between-groups variance minus within-groups variance. 
C)  within-groups variance minus between-groups variance. 
D)  a measure of error variance. 
A)  the ratio of between-group variance to within-group variance. 
B)  between-groups variance minus within-groups variance. 
C)  within-groups variance minus between-groups variance. 
D)  a measure of error variance.

Question 10

If the null hypothesis is true, F should equal 1.0.

Accepted Answer

A) True 
 B)False

Question 11

Approximately 68 percent of the scores in a normal distribution have z values between -2.0 and +2.0.

Accepted Answer

A) True 
 B)False

Question 12

The power of a statistical test refers to its ability to

Accepted Answer

A)  reject false null hypotheses. 
B)  reject false experimental hypotheses. 
C)  reject true null hypotheses. 
D)  reject true experimental hypotheses. 
A)  reject false null hypotheses. 
B)  reject false experimental hypotheses. 
C)  reject true null hypotheses. 
D)  reject true experimental hypotheses.

Question 13

What are the properties of the normal curve? What does knowing these properties do for us? What is a standard score?

Accepted Answer

The normal curve, also known as the bell

Question 14

Manipulation of type of instructions given is an example of quantitative variation of an independent variable.

Accepted Answer

A) True 
 B)False

Question 15

After conducting an F test, eta is used to determine how wrong the null hypothesis is.

Accepted Answer

A) True 
 B)False

Question 16

If an experiment involving an experimental group and a control group were performed over and over and the distribution of the difference between the means of the experimental and control groups was plotted, this distribution would approximate a normal distribution.

Accepted Answer

A) True 
 B)False

Question 17

The two properties about a set of measurements of a dependent variable that we are most interested in describing are

Accepted Answer

A)  frequency and average. 
B)  average and correlation. 
C)  central tendency and dispersion. 
D)  histograms and polygons. 
A)  frequency and average. 
B)  average and correlation. 
C)  central tendency and dispersion. 
D)  histograms and polygons.

Question 18

Which of the following is NOT a measure of dispersion?

Accepted Answer

A)  range 
B)  standard deviation 
C)  variance 
D)  median 
A)  range 
B)  standard deviation 
C)  variance 
D)  median

Question 19

Most hypothesis testing is performed using known population parameters.

Accepted Answer

A) True 
 B)False

Question 20

Approximately 96 percent of the scores in a normal distribution have z values between -2.0 and +2.0.

Accepted Answer

A) True 
 B)False

Inferential statistics are used to assess the importance of experimental results.

The generally preferred measure of central tendency is usually the

The ______________ divides a distribution in half.

If the mean I.Q. score is 100 and the standard deviation of I.Q. scores is 15, then an I.Q. of 130 will have a z-score (or standard score) of

The absolute mean deviation is an adequate measure of dispersion, and it is preferable over the standard deviation and variance because of its usefulness in inferential statistics.

Why should one try to maximize the sample size?

All of the following statements are true of the normal distribution EXCEPT

As the sample size (n) increases,

The F statistic is

If the null hypothesis is true, F should equal 1.0.

Approximately 68 percent of the scores in a normal distribution have z values between -2.0 and +2.0.

The power of a statistical test refers to its ability to

What are the properties of the normal curve? What does knowing these properties do for us? What is a standard score?

Manipulation of type of instructions given is an example of quantitative variation of an independent variable.

After conducting an F test, eta is used to determine how wrong the null hypothesis is.

If an experiment involving an experimental group and a control group were performed over and over and the distribution of the difference between the means of the experimental and control groups was plotted, this distribution would approximate a normal distribution.

The two properties about a set of measurements of a dependent variable that we are most interested in describing are

Which of the following is NOT a measure of dispersion?

Most hypothesis testing is performed using known population parameters.

Approximately 96 percent of the scores in a normal distribution have z values between -2.0 and +2.0.

Explanation in Scientific Psychology

Research Techniques: Observation and Correlation

Research Techniques: Experiments

Ethics in Psychological Research

How to Read and Write Research Reports

Psychophysics

Perception

Attention and Reaction Time

Learning and Conditioning

Remembering and Forgetting

Thinking and Problem Solving

Individual Differences and Development

Social Psychology

Environmental Psychology

Human Factors

Experimental Psychology: A Historical Sketch

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Exam 17: Statistical Reasoning: An Introduction

Inferential statistics are used to assess the importance of experimental results.

The generally preferred measure of central tendency is usually the

The ______________ divides a distribution in half.

If the mean I.Q. score is 100 and the standard deviation of I.Q. scores is 15, then an I.Q. of 130 will have a z-score (or standard score) of

The absolute mean deviation is an adequate measure of dispersion, and it is preferable over the standard deviation and variance because of its usefulness in inferential statistics.

Why should one try to maximize the sample size?

All of the following statements are true of the normal distribution EXCEPT

As the sample size (n) increases,

The F statistic is

If the null hypothesis is true, F should equal 1.0.

Approximately 68 percent of the scores in a normal distribution have z values between -2.0 and +2.0.

The power of a statistical test refers to its ability to

What are the properties of the normal curve? What does knowing these properties do for us? What is a standard score?

Manipulation of type of instructions given is an example of quantitative variation of an independent variable.

After conducting an F test, eta is used to determine how wrong the null hypothesis is.

If an experiment involving an experimental group and a control group were performed over and over and the distribution of the difference between the means of the experimental and control groups was plotted, this distribution would approximate a normal distribution.

The two properties about a set of measurements of a dependent variable that we are most interested in describing are

Which of the following is NOT a measure of dispersion?

Most hypothesis testing is performed using known population parameters.

Approximately 96 percent of the scores in a normal distribution have z values between -2.0 and +2.0.

Explanation in Scientific Psychology

Research Techniques: Observation and Correlation

Research Techniques: Experiments

Ethics in Psychological Research

How to Read and Write Research Reports

Psychophysics

Perception

Attention and Reaction Time

Learning and Conditioning

Remembering and Forgetting

Thinking and Problem Solving

Individual Differences and Development

Social Psychology

Environmental Psychology

Human Factors

Experimental Psychology: A Historical Sketch

Filters