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Question
45 If we compute a confidence interval as 12.65 
25.65, then we can conclude that
a) the probability is .95 that the true mean falls between 12.65 and 25.65.
b) 95% of the intervals we calculate will bracket 
c) the population mean is greater than 12.65.
d) the sample mean is a very precise estimate of the population mean.
Answer
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Related questions
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58 What happens to the standard deviation when a constant is added to each score? Use the following set of data, and a constant of 2 to illustrate your answer.
1 2 3 4
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b) The median
c) The hinge location
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e) The lower hinge
f) H spread
g) Lower fence
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a) interquartile range
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c) range
d) trimmed statistics
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44 Algebraically, the mean = (ï“X)2/N.
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35 Which of the following is probably most useful in studies in which extreme scores sometimes occur but have no real practical significance?
a) mean
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28 For the following data set [1, 9, 9, 9, 11, 28], which of the following is false?
a) The mode is 9.
b) The median is 9.
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21 Suppose a sample of children reported how many voices they heard in their heads on a particular day, and that hearing voices was a relatively uncommon experience. In this case the mode
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18 is the symbol commonly used for the
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a) 3
b) 11
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d) 6, 7, 9, and 11
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Q:
36 Multiple regression analysis yielded the following regression equation:
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b) greater than
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b) 10
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2+ Assume that we generated a prediction just by adding together the number of stressful events you report experiencing over the last month, the number of close friends you have, and your score on a measure assessing how much control you feel you have over events in your life (i.e., prediction = stress + friends + control). The regression coefficient for stressful events would be
a) 1.0
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c) 0.0
d) There is no way to know.
Q:
20+ When we think in terms of standardized data, the slope represents
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b) the number of standard deviations will differ for a one standard deviation difference in X.
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d) 0.
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17 In the equation = 12.6 X + 5
a) a difference of one unit in X will lead to a 5 point difference in the prediction.
b) will decrease as X increases.
c) the correlation is certain to be significant.
d) a difference of one unit in X will lead to a 12.6 point difference in the prediction.
Q:
13 The "best fitting line" is that regression line that
a) minimizes the errors of prediction.
b) minimizes each squared error of prediction.
c) minimizes the sum of squared errors of prediction.
d) hits the most points as it goes through the scatterplot.