Deck 15: Inferential
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Deck 15: Inferential
1
What can inferential statistics measure?
A) Differences
B) Estimations about a population from your sample
C) Relationship/prediction
D) All of the above
A) Differences
B) Estimations about a population from your sample
C) Relationship/prediction
D) All of the above
All of the above
2
Which of the following are tests of difference?
A) t-test
B) one-way ANOVA
C) Chi-square test
D) All of the above
A) t-test
B) one-way ANOVA
C) Chi-square test
D) All of the above
All of the above
3
Which of the following statement is the definition of an independent samples t-test?
A) A test to compare the means of two groups that are matched in some ways
B) A test to compare more than two groups on an interval or ratio level variable
C) A test to compare the means of two groups that are not matched/ in some way
D) All are an independent samples t-test
A) A test to compare the means of two groups that are matched in some ways
B) A test to compare more than two groups on an interval or ratio level variable
C) A test to compare the means of two groups that are not matched/ in some way
D) All are an independent samples t-test
A test to compare the means of two groups that are not matched/ in some way
4
You are studying whether children (one group) spend more time watching TV than adults (one group). Which test would you use?
A) one-way ANOVA
B) Chi-square test
C) Independent samples t-test
D) None of the above
A) one-way ANOVA
B) Chi-square test
C) Independent samples t-test
D) None of the above
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5
Stephen used an independent samples t-test to measure differences between men and women on the frequency of self-disclosure. Why did he use this test?
A) Because the grouping variable has two different means
B) Because the grouping variable is two different groups with mean scores on frequency of self-disclosure
C) Because the grouping variable is the same person
A) Because the grouping variable has two different means
B) Because the grouping variable is two different groups with mean scores on frequency of self-disclosure
C) Because the grouping variable is the same person
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6
In a t-test the dependent variable must be:
A) A nominal or ordinal variable
B) An ordinal variable only
C) An interval or ratio level variable
A) A nominal or ordinal variable
B) An ordinal variable only
C) An interval or ratio level variable
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7
The p level tells you if the test is significant or not. Which of the following levels is/are NOT significant?
A) p < .0001
B) p > .06
C) p < .0003
D) p < .04
A) p < .0001
B) p > .06
C) p < .0003
D) p < .04
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8
Which of the following topic/s can be measured using a One-way ANOVA?
A) How do freshmen, sophomores, juniors, and seniors differ on communication apprehension?
B) How people from Argentina, Mexico, Uruguay, and Paraguay differ in their levels of religiosity?
C) How do young girls' and boys' interest in sciences differ?
D) A and B
E) All of the above
A) How do freshmen, sophomores, juniors, and seniors differ on communication apprehension?
B) How people from Argentina, Mexico, Uruguay, and Paraguay differ in their levels of religiosity?
C) How do young girls' and boys' interest in sciences differ?
D) A and B
E) All of the above
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9
Which of the following statements is/are NOT principles of a One-way ANOVA?
A) The dependent variable should be normally distributed
B) The dependent variable must be an interval or ratio-level variable
C) All of the variables under analysis must be nominal variables
D) The further apart the means, the less likely the difference was created by sampling error
A) The dependent variable should be normally distributed
B) The dependent variable must be an interval or ratio-level variable
C) All of the variables under analysis must be nominal variables
D) The further apart the means, the less likely the difference was created by sampling error
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10
Which of the following are post-hoc comparisons?
A) Tukey's test
B) Scheffé test
C) Games Howell test
D) All of the above
A) Tukey's test
B) Scheffé test
C) Games Howell test
D) All of the above
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11
Which difference tests are most similar to each other?
A) t-test and Chi-square
B) t-test and One-way ANOVA
C) Chi-square and One-way ANOVA
A) t-test and Chi-square
B) t-test and One-way ANOVA
C) Chi-square and One-way ANOVA
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12
Which of the following tests is NOT a parametric test?
A) ANOVA
B) t-tests
C) Chi-square
D) Correlation
A) ANOVA
B) t-tests
C) Chi-square
D) Correlation
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13
When is a non-parametric test used?
A) When you are not able to make assumptions about how the data in the population is distributed
B) When the data you're are working with is ordinal or nominal
C) When your sample may not represent the population
D) All of the above
A) When you are not able to make assumptions about how the data in the population is distributed
B) When the data you're are working with is ordinal or nominal
C) When your sample may not represent the population
D) All of the above
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14
For which of the following tests could all of the variables under analysis be nominal?
A) one-way ANOVA
B) Chi-square test
C) t-test
D) None of the above
A) one-way ANOVA
B) Chi-square test
C) t-test
D) None of the above
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15
Which of the following correlations are "weak"?
A) .30
B) -.50
C) -.10
D) A and C
A) .30
B) -.50
C) -.10
D) A and C
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16
What types of correlation possible to find?
A) Positive correlation
B) Negative correlation
C) Curvilinear correlation
D) All of the above
A) Positive correlation
B) Negative correlation
C) Curvilinear correlation
D) All of the above
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17
Which of the following correlations is/are NOT positive correlations?
A) The more you know somebody, the more personal information you share with him/her
B) The more time you spend at work, the less time you spend at home
C) The less money you earn, the less money you spend
A) The more you know somebody, the more personal information you share with him/her
B) The more time you spend at work, the less time you spend at home
C) The less money you earn, the less money you spend
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18
What does a "regression" not do?
A) It tests how a variable(s) predicts another variable
B) It predicts an independent variable from one or multiple dependent variables
C) It predicts a dependent variable from one or multiple independent variables
A) It tests how a variable(s) predicts another variable
B) It predicts an independent variable from one or multiple dependent variables
C) It predicts a dependent variable from one or multiple independent variables
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19
The symbol " " is used in the regression equation. What does it stand for?
A) The dependent variable
B) The slope of the regression line
C) The value of the independent variable
D) The amount of error
A) The dependent variable
B) The slope of the regression line
C) The value of the independent variable
D) The amount of error
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20
You want to compare differences between parents and children' conflict avoidance using a Likert scale. Explain and justify what test you would use.
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21
Explain what "df" mean and where you would typically see this abbreviation.
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22
What can a one-way ANOVA measure?
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23
What are post hoc comparisons used for?
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24
You are looking at freshmen's, sophomores', and juniors' levels of communication apprehension. Identify the dependent and independent variables.
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25
Choose examples that can be examined using each of the three difference tests (t-test, One-way ANOVA, Chi-square) and explain in detail why each test is the best choice.
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26
Present the principles of simple linear regression and when to use it.
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