PSY230 stats (exam 3 conceptual) NAU Dr.
Weber Questions And Answers
A Type I error is defined as -
correct answer ✅a decision to reject the null hypothesis when the
null hypothesis is true.
You conduct a sign test and find that the calculated probability
is .067. You are using an alpha level of .05two-tailed. Given this
scenario, is the following statement true or false?
Based on the decision rule, you should reject the null hypothesis
and conclude that the independent variable has an effect on the
dependent variable. -
correct answer ✅False
Is the following statement true or false?
A result that is statistically significant can be assumed to be
important as well. -
correct answer ✅False
,PSY230 stats (exam 3 conceptual) NAU Dr.
Weber Questions And Answers
Which of the following asserts that the independent variable does
not affect the dependent variable? -
correct answer ✅The null hypothesis.
Match the type of test (one- vs. two-tailed) with the hypothesis for
which it is indicated.
Question:
The new treatment will decrease depression scores.
The new treatment will have an effect on depression scores -
correct answer ✅B. One-tailed test
A. Two-tailed test
The hypothesis that claims the difference in results between
conditions is due to the independent variable is the -
correct answer ✅alternative hypothesis
, PSY230 stats (exam 3 conceptual) NAU Dr.
Weber Questions And Answers
This error is defined as a decision to retain the null hypothesis
when the null hypothesis is false. -
correct answer ✅Type II error
By making alpha more stringent, the possible outcomes which allow
the rejection of H0 are _______. -
correct answer ✅decreased
Mathematically, the power of an experiment is -
correct answer ✅the probability that the results of an experiment
will allow rejection of the null hypothesis if the independent
variable has a real effect.
As the power of an experiment increases, the probability of making
a Type II error ___________________. -
correct answer ✅decreases
Holding other factors constant, increasing the size of the real effect
will increase power. -
correct answer ✅True
Weber Questions And Answers
A Type I error is defined as -
correct answer ✅a decision to reject the null hypothesis when the
null hypothesis is true.
You conduct a sign test and find that the calculated probability
is .067. You are using an alpha level of .05two-tailed. Given this
scenario, is the following statement true or false?
Based on the decision rule, you should reject the null hypothesis
and conclude that the independent variable has an effect on the
dependent variable. -
correct answer ✅False
Is the following statement true or false?
A result that is statistically significant can be assumed to be
important as well. -
correct answer ✅False
,PSY230 stats (exam 3 conceptual) NAU Dr.
Weber Questions And Answers
Which of the following asserts that the independent variable does
not affect the dependent variable? -
correct answer ✅The null hypothesis.
Match the type of test (one- vs. two-tailed) with the hypothesis for
which it is indicated.
Question:
The new treatment will decrease depression scores.
The new treatment will have an effect on depression scores -
correct answer ✅B. One-tailed test
A. Two-tailed test
The hypothesis that claims the difference in results between
conditions is due to the independent variable is the -
correct answer ✅alternative hypothesis
, PSY230 stats (exam 3 conceptual) NAU Dr.
Weber Questions And Answers
This error is defined as a decision to retain the null hypothesis
when the null hypothesis is false. -
correct answer ✅Type II error
By making alpha more stringent, the possible outcomes which allow
the rejection of H0 are _______. -
correct answer ✅decreased
Mathematically, the power of an experiment is -
correct answer ✅the probability that the results of an experiment
will allow rejection of the null hypothesis if the independent
variable has a real effect.
As the power of an experiment increases, the probability of making
a Type II error ___________________. -
correct answer ✅decreases
Holding other factors constant, increasing the size of the real effect
will increase power. -
correct answer ✅True
