What does an alpha value represent?

The probability of making a Type 1 error

Which statement about p-values is TRUE?

A smaller p-value means stronger evidence against the null hypothesis

Are you ready for the Quiz????

NO, WHAT QUIZ???????, YES IN GREEN., YES

What does it mean if a t-test result is “statistically significant”?

The observed effect is unlikely due to random chance

If p = 0.15 and alpha = 0.05, what should you do?

Fail to reject the null hypothesis

When performing a hypothesis test, the null hypothesis states that…

There is no difference between groups

Which of the following situations would require an independent samples t-test?

Comparing two unrelated groups, such as men vs. women on exam scores

An Independent Samples T-Test is used when...

You want to make between-group comparisons.

What happens when the p-value is greater than alpha?

Fail to reject the null hypothesis

Given an alpha of 0.05, what does this value mean?

have 5% chance rejecting the null hypothesis when the null hypothesis is T

If the t-statistic is smaller than the critical t-value, what decision should be made?

Fail to reject the null hypothesis

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PSY 3000 - QUIZ 7.

24 termsStudBud Administration4 plays

Imported from external platform

Flashcards24 cardsFPractice quizPHost liveL

Questions 24

Answers

1
A T distribution is…
A sampling distribution.
A negatively skewed distribution.
A normal distribution of raw scores.
A positively skewed distribution.
2
Which of the following would be an appropriate one-tailed hypothesis?
H0: Mu1 = Mu2, H1: Mu1 ≠ Mu2
H0: Mu1 = Mu2 = Mu3, H1: At least one group is different
H0: Mu = 100, H1: Mu ≠ 100
H0: Mu = 50, H1: Mu > 50
3
What does an alpha value represent?
The critical t-value for hypothesis testing
The probability of making a Type 1 error
The probability of making a Type 2 error
The probability of rejecting a true alternative hypothesis
4
Which statement about p-values is TRUE?
P-values tell us the size of an effect
A p-value of 0.10 is always statistically significant
A smaller p-value means stronger evidence against the null hypothesis
A large p-value means the null hypothesis is false
5
Which is the correct hypothesis for an Independent Samples T-Test?
H0: Mu1 = Mu2 = Mu3. H1: At least one combination of these are different.
H0: Mu1 = Mu2. H1: Mu1 ≠ Mu2
H0: Mu = 100. H1: Mu ≠ 100
H0: Mu(d) = 0. H1: Mu(d) ≠ 0
6
If p = 0.048 and α = 0.05, you reject the null hypothesis.
True
False
7
Are you ready for the Quiz????
NO
WHAT QUIZ???????
YES IN GREEN.
YES
8
If we find a significant p-value, our research is perfect and needs no further analysis.
True
False
9
What does it mean if a t-test result is “statistically significant”?
The sample mean is exactly equal to the population mean
The research study is flawless
The null hypothesis is true
The observed effect is unlikely due to random chance
10
If p = 0.15 and alpha = 0.05, what should you do?
Change your alpha to 0.20
Reject the null hypothesis
Fail to reject the null hypothesis
Conduct a new test
11
You are given the results: T = +1.50, df = 30, p = 0.32. What is the t-statistic?
All of these
1.50
30
0.32
12
When performing a hypothesis test, the null hypothesis states that…
The treatment has a strong effect
The independent variable has a large impact
There is a significant difference between groups
There is no difference between groups
13
Which of the following situations would require an independent samples t-test?
Comparing two unrelated groups, such as men vs. women on exam scores
None of these
Comparing a single group’s scores to a known population mean
Comparing pre-test and post-test scores in the same individuals
14
A researcher is comparing student test scores before and after an intervention. What t-test should be used?
Independent samples t-test
Paired samples t-test
None of these
One-sample t-test
15
Which t-test should be used when comparing pre-test and post-test scores of the same individuals?
Paired Samples T-Test
Independent Samples T-Test
None of these
One Sample T-Test
16
An Independent Samples T-Test is used when...
You want to make between-group comparisons.
You want to make repeated measure comparisons.
None of these
You want to compare a population to a postulated value.
17
What happens when the p-value is greater than alpha?
There is a significant effect
Fail to reject the null hypothesis
The test was conducted incorrectly
Reject the null hypothesis
18
If a t-value is in the critical region, what should you do?
Fail to reject the null hypothesis
Assume the treatment had no effect
Not enough information
Reject the null hypothesis
19
Given an alpha of 0.05, what does this value mean?
have a 5% chance of rejecting the null H. when the null hypothesis is false
have a 5% chance of failing to reject the null hypoth. if a true dif exists
have 5% chance rejecting the null hypothesis when the null hypothesis is T
None of these
20
Which of the following is NOT a step in hypothesis testing?
Contemplate results
State your hypothesis
Set decision criteria
Collect Data and Compute Statistics
21
Which of the following hypotheses is correct for a one-sample t-test?
H0: Mu1 = Mu2 = Mu3. H1: At least one group is different
H0: Mu1 = Mu2. H1: Mu1 ≠ Mu2
H0: Mu = 100. H1: Mu ≠ 100
H0: Mu(d) = 0. H1: Mu(d) ≠ 0
22
When you use a two-tailed test, the test is...
One Group
Directional
Nondirectional
Two Groups
23
If a hypothesis test results in a Type 1 Error, what does that mean?
False
True
24
If the t-statistic is smaller than the critical t-value, what decision should be made?
Fail to reject the null hypothesis
Assume the alternative hypothesis is false
Increase the sample size
Reject the null hypothesis

PSY 3000 - QUIZ 7. Flashcards | StudBud

PSY 3000 - QUIZ 7.

24 termsStudBud Administration4 plays

Imported from external platform

Flashcards24 cardsFPractice quizPHost liveL

Questions 24

Answers

1
A T distribution is…
A sampling distribution.
A negatively skewed distribution.
A normal distribution of raw scores.
A positively skewed distribution.
2
Which of the following would be an appropriate one-tailed hypothesis?
H0: Mu1 = Mu2, H1: Mu1 ≠ Mu2
H0: Mu1 = Mu2 = Mu3, H1: At least one group is different
H0: Mu = 100, H1: Mu ≠ 100
H0: Mu = 50, H1: Mu > 50
3
What does an alpha value represent?
The critical t-value for hypothesis testing
The probability of making a Type 1 error
The probability of making a Type 2 error
The probability of rejecting a true alternative hypothesis
4
Which statement about p-values is TRUE?
P-values tell us the size of an effect
A p-value of 0.10 is always statistically significant
A smaller p-value means stronger evidence against the null hypothesis
A large p-value means the null hypothesis is false
5
Which is the correct hypothesis for an Independent Samples T-Test?
H0: Mu1 = Mu2 = Mu3. H1: At least one combination of these are different.
H0: Mu1 = Mu2. H1: Mu1 ≠ Mu2
H0: Mu = 100. H1: Mu ≠ 100
H0: Mu(d) = 0. H1: Mu(d) ≠ 0
6
If p = 0.048 and α = 0.05, you reject the null hypothesis.
True
False
7
Are you ready for the Quiz????
NO
WHAT QUIZ???????
YES IN GREEN.
YES
8
If we find a significant p-value, our research is perfect and needs no further analysis.
True
False
9
What does it mean if a t-test result is “statistically significant”?
The sample mean is exactly equal to the population mean
The research study is flawless
The null hypothesis is true
The observed effect is unlikely due to random chance
10
If p = 0.15 and alpha = 0.05, what should you do?
Change your alpha to 0.20
Reject the null hypothesis
Fail to reject the null hypothesis
Conduct a new test
11
You are given the results: T = +1.50, df = 30, p = 0.32. What is the t-statistic?
All of these
1.50
30
0.32
12
When performing a hypothesis test, the null hypothesis states that…
The treatment has a strong effect
The independent variable has a large impact
There is a significant difference between groups
There is no difference between groups
13
Which of the following situations would require an independent samples t-test?
Comparing two unrelated groups, such as men vs. women on exam scores
None of these
Comparing a single group’s scores to a known population mean
Comparing pre-test and post-test scores in the same individuals
14
A researcher is comparing student test scores before and after an intervention. What t-test should be used?
Independent samples t-test
Paired samples t-test
None of these
One-sample t-test
15
Which t-test should be used when comparing pre-test and post-test scores of the same individuals?
Paired Samples T-Test
Independent Samples T-Test
None of these
One Sample T-Test
16
An Independent Samples T-Test is used when...
You want to make between-group comparisons.
You want to make repeated measure comparisons.
None of these
You want to compare a population to a postulated value.
17
What happens when the p-value is greater than alpha?
There is a significant effect
Fail to reject the null hypothesis
The test was conducted incorrectly
Reject the null hypothesis
18
If a t-value is in the critical region, what should you do?
Fail to reject the null hypothesis
Assume the treatment had no effect
Not enough information
Reject the null hypothesis
19
Given an alpha of 0.05, what does this value mean?
have a 5% chance of rejecting the null H. when the null hypothesis is false
have a 5% chance of failing to reject the null hypoth. if a true dif exists
have 5% chance rejecting the null hypothesis when the null hypothesis is T
None of these
20
Which of the following is NOT a step in hypothesis testing?
Contemplate results
State your hypothesis
Set decision criteria
Collect Data and Compute Statistics
21
Which of the following hypotheses is correct for a one-sample t-test?
H0: Mu1 = Mu2 = Mu3. H1: At least one group is different
H0: Mu1 = Mu2. H1: Mu1 ≠ Mu2
H0: Mu = 100. H1: Mu ≠ 100
H0: Mu(d) = 0. H1: Mu(d) ≠ 0
22
When you use a two-tailed test, the test is...
One Group
Directional
Nondirectional
Two Groups
23
If a hypothesis test results in a Type 1 Error, what does that mean?
False
True
24
If the t-statistic is smaller than the critical t-value, what decision should be made?
Fail to reject the null hypothesis
Assume the alternative hypothesis is false
Increase the sample size
Reject the null hypothesis