Liberty Christian Academy Psyc 355 Exam 3 New
· Question 1
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The proportionate reduction in error is a measure of
... [Show More] the:
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· Question 2
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If a negative relation exists between two variables, then low scores on one variable will be associated with ________ scores on the other variable.
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· Question 3
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In the equation for a regression line, the slope is the:
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· Question 4
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Using the Pearson correlation coefficient to analyze the relationship between two variables is appropriate only if the variables are:
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scale variables.
· Question 5
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Data from the World Health Organization in 2013 were used to predict the life expectancy of men in a country from the life expectancy of women in the country. The resulting regression equation was Ŷ = 3.73 + 0.88(X). Using the regression equation, what would be the predicted life expectancy of men in a country in which the life expectancy of women is 65 years?
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· Question 6
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Which of these correlation coefficients allows a perfect prediction of scores on one variable from the knowledge of scores on the other variable?
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· Question 7
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As the standard error of estimate becomes larger, predictions become:
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· Question 8
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In the formula Ŷ = a + b (X), b is the:
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· Question 9
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A positive correlation between head size and foot size indicates that:
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.
· Question 10
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The numerical value for a correlation ranges between ________ and ________.
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· Question 11
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Y is the symbol for a(n) ________ and Ŷ is the symbol for a(n) ________.
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· Question 12
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The standardized regression coefficient is symbolized by:
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· Question 13
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According to the guidelines published by Cohen (1988), a correlation value of –0.55 would be considered:
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· Question 14
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The regression line is also called the:
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error of estimate.
· Question 15
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Regression to the mean occurs because extreme scores tend to become:
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· Question 16
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Regression is to ________ as correlation is to ________.
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· Question 17
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Nietfeld and Ender (2003) performed a study investigating the relation between the intelligence of student teachers and their efficacy in the classroom. This relation is depicted in the following scatterplot, which shows fictional data that replicate the pattern of performance observed by the researchers.
Figure:
Based on the scatterplot, what kind of relation between intelligence and teaching efficacy did Nietfeld and Ender find?
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· Question 18
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If a test actually measures what it is intended to measure, then that test:
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· Question 19
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With regression we are concerned about variability around the ________, rather than variability around the ________ which would be the case in t tests or ANOVAs.
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· Question 20
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In the equation Ŷ = 33.422 – 3.34(X1) + 0.094(X2), which statement is true?
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· Question 21
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The statistical analysis that allows us to use one scale variable to predict outcome on a second scale variable is called:
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· Question 22
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Psychometricians are concerned with:
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· Question 23
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Imagine that you've just read the results of a study that finds a positive correlation between gum chewing and life expectancy. Which of the following statements would be a statistically appropriate response to the results of the study?
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· Question 24
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A negative correlation between a hockey player's age and the number of minutes he spends in the penalty box indicates that:
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· Question 25
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What is the correlation between a person's weight measured in grams and the same person's weight measured in pounds?
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· Question 26
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The following figure depicts the relation between a hockey player's age and the number of minutes he spent in the penalty box during the regular 2006–2007 season. The 18 players of the New Jersey Devils hockey team played in more than 40 games that season.
Figure: Age and Penalty Minutes
Based on the scatterplot, what is the relation between a hockey player's age and the number of minutes he spent in the penalty box?
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· Question 27
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The Pearson correlation coefficient is a statistic that measures:
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· Question 28
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The Pearson correlation coefficient is a statistic that:
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measures the causal association between scale variables.
· Question 29
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The sign of the correlation communicates:
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· Question 30
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To predict a single dependent variable from more than one independent variable, which statistical technique should be used?
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· Question 31
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Simple linear regression allows us to:
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· Question 32
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When using the Pearson correlation coefficient in hypothesis testing, we determine whether the correlation is:
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· Question 33
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What is the null hypothesis when testing for significance using the Pearson correlation coefficient?
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ρ = 0
· Question 34
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In a reanalysis of published studies, Twenge and Im (2007) found that for the time period 1958–2001, the need for social approval of people in the United States was negatively correlated with the U.S. violent crime rate during the same period (the correlation coefficient was –0.31). This correlation means that:
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· Question 35
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What kind of correlation would one expect to find between the severity of snowstorms and rates of attendance at college classes?
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· Question 36
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Below are the possible results of a one-way ANOVA with an alpha level set at .05. Which results are significant?
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· Question 37
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A one-way between-groups analysis of variance differs from an independent-samples t test in that the ANOVA
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· Question 38
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In a single-sample t-test with alpha = .05, we know that the mean of the sample is significantly different from the mean of the population if
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· Question 39
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A psychologist wants to determine whether different psychiatric diagnoses affect the length of stay for patients in a residential treatment facility. She collects data on length of stay for patients with three different diagnoses: affective disorders, drug-related disorders, and cognitive disorders. She compares the scores of these three groups. Which type of test should she use to analyze the results?
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· Question 40
2.5 out of 2.5 points
In an analysis of variance, you reject the null hypothesis when the F
ratio is
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