Question 1

For a sampling distribution (the distribution of the sample results), the standard deviation is referred to as the ______.

Accepted Answer

A)  standard distribution 
B)  standard sample 
C)  standard error 
D)  standard curve 
A)  standard distribution 
B)  standard sample 
C)  standard error 
D)  standard curve C

Question 2

A data plot showing a positive skew has ______.

Accepted Answer

A)  the "tail" of the plot in the low numbers 
B)  the "tail" of the plot in the high numbers 
C)  a flat profile 
D)  a high profile 
A)  the "tail" of the plot in the low numbers 
B)  the "tail" of the plot in the high numbers 
C)  a flat profile 
D)  a high profile B

Question 3

A curvilinear relationship and a straight-line relationship between the two variables can exist simultaneously.

Accepted Answer

A) True 
 B)False  False

Question 4

When data are skewed, which of the following statistics are NOT necessary to adequately describe the data?

Accepted Answer

A)  mean 
B)  median 
C)  mode 
D)  chi-square 
A)  mean 
B)  median 
C)  mode 
D)  chi-square

Question 5

Type I error is deciding that ______.

Accepted Answer

A)  a relationship is linear when it is not 
B)  you have no significant result when in fact you do 
C)  you have a significant finding when in fact you do not 
D)  sample size is inadequate when it is adequate 
A)  a relationship is linear when it is not 
B)  you have no significant result when in fact you do 
C)  you have a significant finding when in fact you do not 
D)  sample size is inadequate when it is adequate

Question 6

The extent to which sample data reflect the wider population from which the sample was drawn can be estimated using which one of the following?

Accepted Answer

A)  unilateral statistics 
B)  descriptive statistics 
C)  inferential statistics 
D)  essential statistics 
A)  unilateral statistics 
B)  descriptive statistics 
C)  inferential statistics 
D)  essential statistics

Question 7

The t test assesses the differences in mean scores between two groups.

Accepted Answer

A) True 
 B)False

Question 8

In a normal distribution, most values are ______.

Accepted Answer

A)  in the middle of the distribution 
B)  evenly distributed 
C)  to the right of the mean value 
D)  to the left of the mean value 
A)  in the middle of the distribution 
B)  evenly distributed 
C)  to the right of the mean value 
D)  to the left of the mean value

Question 9

Conceptually, the t test is based on ______.

Accepted Answer

A)  the mode scores on the same variable for two different groups 
B)  the differences in means for a variable common to two groups 
C)  the population 
D)  size of correlation between groups 
A)  the mode scores on the same variable for two different groups 
B)  the differences in means for a variable common to two groups 
C)  the population 
D)  size of correlation between groups

Question 10

What does MANOVA stand for?

Accepted Answer

A)  multiple analysis of variables 
B)  multivariate analysis of vectors 
C)  multivariate analysis of variance 
D)  multiple analysis of variance 
A)  multiple analysis of variables 
B)  multivariate analysis of vectors 
C)  multivariate analysis of variance 
D)  multiple analysis of variance

Question 11

Type II error is deciding that ______.

Accepted Answer

A)  a relationship is linear when it is not 
B)  you have no significant result when in fact you do 
C)  you have a significant finding when in fact you do not 
D)  sample size is inadequate when it is adequate 
A)  a relationship is linear when it is not 
B)  you have no significant result when in fact you do 
C)  you have a significant finding when in fact you do not 
D)  sample size is inadequate when it is adequate

Question 12

"To what extent do my sample data reflect the wider population from which I sampled?" is a question that inferential statistics cannot answer.

Accepted Answer

A) True 
 B)False

Question 13

The properties of a normal curve are such that ______ of the values under it occur plus or minus 1 standard deviation from the mean.

Accepted Answer

A)  33% 
B)  50% 
C)  68% 
D)  95% 
A)  33% 
B)  50% 
C)  68% 
D)  95%

Question 14

Both the t test and the chi-square test look for differences in average scores between two groups.

Accepted Answer

A) True 
 B)False

Question 15

Inferential statistics tell us that as long as we are prepared to accept a known level of uncertainty in our projections, ______.

Accepted Answer

A)  we do not need huge sample sizes 
B)  we do need huge sample sizes 
C)  sample size is irrelevant 
D)  we can use any sampling method 
A)  we do not need huge sample sizes 
B)  we do need huge sample sizes 
C)  sample size is irrelevant 
D)  we can use any sampling method

Question 16

Define Type II error.

Accepted Answer

A type II error means that you

Question 17

A tri-modal profile means that a distribution of data plots out showing _______ peak(s).

Accepted Answer

A)  zero 
B)  one 
C)  two 
D)  three 
A)  zero 
B)  one 
C)  two 
D)  three

Question 18

The probability of sampling any value under the normal curve that is greater than the mean is ______.

Accepted Answer

A)  0 
B)  0.25 
C)  0.50 
D)  1.0 
A)  0 
B)  0.25 
C)  0.50 
D)  1.0

Question 19

Inferential statistics allow us to make an inference about a wider population with 100% certainty.

Accepted Answer

A) True 
 B)False

Question 20

In a statistically perfect world, data conform to a symmetrical so-called normal curve.

Accepted Answer

A) True 
 B)False

For a sampling distribution (the distribution of the sample results), the standard deviation is referred to as the ______.

A data plot showing a positive skew has ______.

A curvilinear relationship and a straight-line relationship between the two variables can exist simultaneously.

When data are skewed, which of the following statistics are NOT necessary to adequately describe the data?

Type I error is deciding that ______.

The extent to which sample data reflect the wider population from which the sample was drawn can be estimated using which one of the following?

The t test assesses the differences in mean scores between two groups.

In a normal distribution, most values are ______.

Conceptually, the t test is based on ______.

What does MANOVA stand for?

Type II error is deciding that ______.

"To what extent do my sample data reflect the wider population from which I sampled?" is a question that inferential statistics cannot answer.

The properties of a normal curve are such that ______ of the values under it occur plus or minus 1 standard deviation from the mean.

Both the t test and the chi-square test look for differences in average scores between two groups.

Inferential statistics tell us that as long as we are prepared to accept a known level of uncertainty in our projections, ______.

Define Type II error.

A tri-modal profile means that a distribution of data plots out showing _______ peak(s).

The probability of sampling any value under the normal curve that is greater than the mean is ______.

Inferential statistics allow us to make an inference about a wider population with 100% certainty.

In a statistically perfect world, data conform to a symmetrical so-called normal curve.

Getting Started: Possibilities and Decisions

First Decisions: From Inspiration to Implementation

Ethics: What Are My Responsibilities As a Researcher

You Could Look It Up: Reading, Recording, and Reviewing Research

Measurement: Research Using Numbers

Sampling: Who, What, and How Many

Summarizing Research Results: Data Reduction and Descriptive Statistics

Surveys: Putting Numbers on Opinions

Experiments: Researching Cause and Effect

Quantitative Understanding of Content: Content Analysis

Qualitative Understanding of Content: Rhetorical and Critical Analyses, and More

Qualitative Understanding of Communication Behavior: Interviews, Focus Groups, and Ethnography

Research Results in Print and Online: Writing and Presenting for Scholarly and Other Publics

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Exam 8: Generalizing From Research Results: Inferential Statistics

For a sampling distribution (the distribution of the sample results), the standard deviation is referred to as the ______.

A data plot showing a positive skew has ______.

A curvilinear relationship and a straight-line relationship between the two variables can exist simultaneously.

When data are skewed, which of the following statistics are NOT necessary to adequately describe the data?

Type I error is deciding that ______.

The extent to which sample data reflect the wider population from which the sample was drawn can be estimated using which one of the following?

The t test assesses the differences in mean scores between two groups.

In a normal distribution, most values are ______.

Conceptually, the t test is based on ______.

What does MANOVA stand for?

Type II error is deciding that ______.

"To what extent do my sample data reflect the wider population from which I sampled?" is a question that inferential statistics cannot answer.

The properties of a normal curve are such that ______ of the values under it occur plus or minus 1 standard deviation from the mean.

Both the t test and the chi-square test look for differences in average scores between two groups.

Inferential statistics tell us that as long as we are prepared to accept a known level of uncertainty in our projections, ______.

Define Type II error.

A tri-modal profile means that a distribution of data plots out showing _______ peak(s).

The probability of sampling any value under the normal curve that is greater than the mean is ______.

Inferential statistics allow us to make an inference about a wider population with 100% certainty.

In a statistically perfect world, data conform to a symmetrical so-called normal curve.

Getting Started: Possibilities and Decisions

First Decisions: From Inspiration to Implementation

Ethics: What Are My Responsibilities As a Researcher

You Could Look It Up: Reading, Recording, and Reviewing Research

Measurement: Research Using Numbers

Sampling: Who, What, and How Many

Summarizing Research Results: Data Reduction and Descriptive Statistics

Surveys: Putting Numbers on Opinions

Experiments: Researching Cause and Effect

Quantitative Understanding of Content: Content Analysis

Qualitative Understanding of Content: Rhetorical and Critical Analyses, and More

Qualitative Understanding of Communication Behavior: Interviews, Focus Groups, and Ethnography

Research Results in Print and Online: Writing and Presenting for Scholarly and Other Publics

Filters