Question 1

The value of an inferential statistic calculated to compare conditions in an experiment represents

Accepted Answer

A)   the chance that the null hypothesis is true.
B)   the chance that the null hypothesis is false.
C)   the effect of the independent variable with sampling error removed.
D)   the amount of sampling error.E) A) and D)
F) B) and D)

Question 2

In inferential statistics, we look for evidence against the

Accepted Answer

A)   alternative hypothesis.
B)   scientific hypothesis.
C)   independent variable hypothesis.
D)   null hypothesis.E) C) and D)
F) A) and B)

Question 3

An inferential test allows a researcher to certain that there is or is not an effect of an independent variable.

Accepted Answer

A)   true
B)   falseC) A) and B)
D) undefined

Question 4

The most common score in a distribution is the

Accepted Answer

A)   range
B)   mean
C)   mode
D)   medianE) B) and C)
F) A) and D)

Question 5

Extreme high or low scores in a distribution are referred to as

Accepted Answer

A)   outliers
B)   extremes
C)   edges
D)   limitsE) A) and B)
F) B) and C)

Question 6

A(n)  ________ hypothesis predicts a directional effect, whereas a(n)  _________ hypothesis predicts an effect in either direction.

Accepted Answer

A)   one-tailed, two-tailed
B)   two-tailed, one-tailed
C)   null, alternative
D)   alternative, nullE) C) and D)
F) All of the above

Question 7

What does the p value in an inferential test represent?

Accepted Answer

The p (probability value) repr...

Question 8

A graph of the means for different conditions in a study where the bar height represents the size of the mean is a bar graph.

Accepted Answer

A) True 
 B)False

Question 9

If the p value is more than alpha, the test is said to be significant.

Accepted Answer

A) True 
 B)False

Question 10

A Type II Error is an error made in a significance test when the researcher rejects the null hypothesis when it is actually true.

Accepted Answer

A) True 
 B)False

Exam 7: Independent Variables and Validity in Research

If the p value is more than alpha, the test is said to be significant.

Correct Answer
verified

What does the p value in an inferential test represent?

Correct Answer
verified
The p (probability value) repr...
View Answer

The value of an inferential statistic calculated to compare conditions in an experiment represents

Correct Answer
verified

A Type II Error is an error made in a significance test when the researcher rejects the null hypothesis when it is actually true.

Correct Answer
verified

A graph of the means for different conditions in a study where the bar height represents the size of the mean is a bar graph.

Correct Answer
verified

A(n) hypothesis predicts a directional effect, whereas a(n) _ hypothesis predicts an effect in either direction.

Correct Answer
verified

An inferential test allows a researcher to certain that there is or is not an effect of an independent variable.

Correct Answer
verified

The most common score in a distribution is the

Correct Answer
verified

In inferential statistics, we look for evidence against the

Correct Answer
verified

Extreme high or low scores in a distribution are referred to as

Correct Answer
verified

Exam 7: Independent Variables and Validity in Research

If the p value is more than alpha, the test is said to be significant.

Correct AnswerverifiedShow Answer

What does the p value in an inferential test represent?

Correct AnswerverifiedThe p (probability value) repr...View AnswerShow Answer

The value of an inferential statistic calculated to compare conditions in an experiment represents

Correct AnswerverifiedShow Answer

A Type II Error is an error made in a significance test when the researcher rejects the null hypothesis when it is actually true.

Correct AnswerverifiedShow Answer

A graph of the means for different conditions in a study where the bar height represents the size of the mean is a bar graph.

Correct AnswerverifiedShow Answer

A(n) ________ hypothesis predicts a directional effect, whereas a(n) _________ hypothesis predicts an effect in either direction.

Correct AnswerverifiedShow Answer

An inferential test allows a researcher to certain that there is or is not an effect of an independent variable.

Correct AnswerverifiedShow Answer

The most common score in a distribution is the

Correct AnswerverifiedShow Answer

In inferential statistics, we look for evidence against the

Correct AnswerverifiedShow Answer

Extreme high or low scores in a distribution are referred to as

Correct AnswerverifiedShow Answer

Correct Answer
verified

Correct Answer
verified
The p (probability value) repr...
View Answer

Correct Answer
verified

Correct Answer
verified

Correct Answer
verified

A(n) hypothesis predicts a directional effect, whereas a(n) _ hypothesis predicts an effect in either direction.

Correct Answer
verified

Correct Answer
verified

Correct Answer
verified

Correct Answer
verified

Correct Answer
verified