stud
bud
Sign up
Log in
Home
Library
Explore
SAT
More
Exam 3 Review Flashcards | StudBud
Explore
/
Exam 3 Review
Exam 3 Review
27 terms
·
StudBud Administration
·
42 plays
Imported from external platform
Flashcards
27 cards
F
Practice quiz
P
Host live
L
Questions
27
Answers
1
What is a critical value?
A threshold to determine significance
The effect size
The calculated test statistic
The mean of the sample
2
Why is effect size computed?
To measure the strength of a result
To test for significance
To calculate sample size
To determine the mean
3
True or False: A z-score of -1.96 or lower falls in the critical region for a two-tailed test at alpha = 0.05.
False
True
4
A p-value tells you the probability that the null hypothesis is true.
True
False
5
Why do researchers construct confidence intervals?
To estimate the range of a population parameter
To prove statistical significance
To increase sample size
To confirm the null hypothesis
6
True or False: Increasing sample size increases statistical power.
False
True
7
True or False: Point estimation is less precise than interval estimation.
True
False
8
Which statement correctly interprets p < 0.05?
The null hypothesis is rejected
The results are due to chance
The effect is large
None of the above
9
How is the z-score for a sample mean different from a single score?
It is computed using a higher mean
It doesn’t differ at all
It requires using the standard error
It uses a t-distribution
10
What does a z-score represent?
The number of standard deviations a score is from the mean
The mean of a distribution
The difference between two scores
A score on a percentile rank
11
What is typically considered statistically significant?
p < 0.01
p > 0.05
p < 0.10
p < 0.05
12
Parametric tests generally provide:
Less power than nonparametric tests
No power advantages
More power than nonparametric tests
No difference in power
13
What is the first step in conducting a hypothesis test?
Make a decision
Calculate the test statistic
Determine alpha
Set up null and alternative hypotheses
14
A z-score of 0 indicates a score that is at the mean.
False
True
15
A confidence interval provides an estimate for:
A point value
A sample statistic
A single sample score
A population parameter range
16
True or False: Parametric tests do not require assumptions about the distribution of the population.
True
False
17
Which is not a step in hypothesis testing?
Determining the effect size
Making a decision about the null hypothesis
Calculating a test statistic
Formulating the hypothesis
18
True or False: The alpha level is usually set before data collection.
True
False
19
For a 95% confidence interval, if the interval is (10, 20), what does this mean?
None of the above
We are 95% confident the population mean is between 10 and 20
The population mean is exactly 15
There’s a 5% chance the mean is between 10 and 20
20
What does "power" in statistics represent?
The probability of retaining the null hypothesis
The probability of a Type I error
The probability of rejecting the null hypothesis if it’s false
The effect size of a study
21
Which factor does not influence power?
Mode of data collection
Alpha level
Effect size
Sample size
22
Which is an assumption for parametric tests?
Random sampling
Normal distribution
Homogeneity of variance
All of the above
23
A power of 0.80 means:
80% probability of detecting an effect if it exists
80% chance of accepting the null hypothesis
None of the above
80% chance of a Type I error
24
True or False: Cohen’s d is a measure of effect size for comparing two means.
True
False
25
What is Cohen’s d threshold for a large effect size?
0.50
0.20
0.80
1.00
26
True or False: A one-tailed test is used when predicting the direction of an effect.
True
False
27
Which area is the "rejection region"?
Where the p-value equals alpha
Where the null hypothesis is retained
Where p > alpha
Where the test statistic is beyond the critical value
