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Short Answer
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View Answer
Multiple Choice
A) 123.78
B) -21.60
C) 88.91
D) -5.20
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Multiple Choice
A) Holding the body temperatures constant, randomize the order of the social warmth scores. Plot the slope of the regression line of the shuffled data on the null distribution.
B) Add or subtract the appropriate value from each body temperature and social warmth score in order to force the null hypothesis to be true. Plot the slope of the regression line of the shifted data on the null distribution.
C) Flip a coin to decide whether to swap the values for body temperature and social warmth score or not. Plot the slope of the regression line of the randomized points on the null distribution.
D) Put each pair of (body temperature, social warmth score) on a piece of paper. Draw with replacement 40 times. Plot the slope of the regression line of the resampled data on the null distribution.
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Multiple Choice
A) Holding the average number of children constant, randomize the order of the female life expectancies. Plot the correlation coefficient of the shuffled data on the null distribution.
B) Add or subtract the appropriate value from each average number of children and female life expectancy in order to force the null hypothesis to be true. Plot the correlation coefficient of the shifted data on the null distribution.
C) Flip a coin to decide whether to swap the values for average number of children and female life expectancy or not. Plot the correlation coefficient of the randomized points on the null distribution.
D) Put each pair of (average number of children, female life expectancy) on a piece of paper. Draw with replacement 40 times. Plot the correlation coefficient of the resampled data on the null distribution.
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Multiple Choice
A) The correlation coefficient between body temperature and social warmth score is 0.461.
B) The predicted social warmth score when body temperature is zero degrees Celsius is -12.773.
C) A one degree Celsius increase in body temperature is associated with a predicted 0.461 increase in social warmth score.
D) About 46.1% of variability in social warmth scores can be explained by body temperature.
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Multiple Choice
A) versus
B) versus
C) versus
D) versus
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Multiple Choice
A) It is an example of extrapolation.
B) We cannot observe a negative number of manatee deaths.
C) Both A and B
D) Neither A nor B
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Multiple Choice
A) Simulation-based test
B) Theory-based test
C) Both A and B
D) Neither A nor B
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Multiple Choice
A) If we repeated this study many times, 95% of the regression slopes would fall between -5.68 and -4.73.
B) There is a 95% probability that the population slope is between -5.68 and -4.73.
C) We are 95% confident that the population slope is between -5.68 and -4.73.
D) A one baby increase in average number of babies per woman is associated with between a 4.73 and 5.68 year decrease in female life expectancy, with 95% confidence.
E) Both A and B
F) Both B and C
G) Both C and D
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Multiple Choice
A) versus
B) versus
C) versus
D) versus
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Multiple Choice
A) The correlation coefficient for the entire sample would be closer to 1 than the correlation coefficient for the non-smoking group.
B) The correlation coefficient for the entire sample would be closer to 0 than the correlation coefficient for the non-smoking group.
C) The correlation coefficient for the entire sample would be the same as the correlation coefficient for the non-smoking group.
D) We cannot determine how the two correlation coefficients compare based on this plot.
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Multiple Choice
A) Flip a coin to decide whether to swap the values for brain size and IQ or not. Plot the correlation coefficient of the randomized points on the null distribution.
B) Holding the order of brain size values constant, randomize the order of the IQs. Plot the correlation coefficient of the shuffled data on the null distribution.
C) Put each pair of (brain size, IQ) on a piece of paper. Draw with replacement 40 times. Plot the correlation coefficient of the resampled data on the null distribution.
D) Add or subtract the appropriate value from each brain size and IQ in order to force the null hypothesis to be true. Plot the correlation coefficient of the shifted data on the null distribution.
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True/False
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Short Answer
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View Answer
Multiple Choice
A) The correlation must be close to one because there is a strong relationship between age and medical expenses.
B) Using correlation on the data shown in the graph above is not appropriate because the relationship shown in the graph is not linear.
C) Both A and B are true statements.
D) Neither A nor B is a true statement.
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Multiple Choice
A) -0.99
B) -0.23
C) 0.12
D) 0.38
Correct Answer
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Multiple Choice
A) Find the proportion of simulated correlation coefficients greater than zero.
B) Find the proportion of simulated correlation coefficients as far away from zero or further than the one observed.
C) Find the proportion of simulated correlation coefficients as small or smaller than the one observed.
D) Find the proportion of simulated correlation coefficients as large or larger than the one observed.
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True/False
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Multiple Choice
A) No, because smoking status is not associated with gestation period.
B) No, because smoking status is not associated with birth weight.
C) Yes, because mothers who smoke tend to have lighter babies, and mothers who smoke also tend to have shorter gestation periods.
D) Yes, because mothers who smoke tend to have heavier babies, and mothers who smoke also tend to have longer gestation periods.
E) We cannot determine whether smoking status is a confounding variable based on this plot.
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