# Let’s assume you have measured the height of all psychology majors at

Exhibit 1-4

Let’s assume you have measured the height of all psychology majors at your university.

Refer to Exhibit 1-4. The resulting raw scores are called ____.

1. statistics

2. data

3. constants

4. coefficients

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2. (Points: 1)

Exhibit 1-4

Let’s assume you have measured the height of all psychology majors at your university.

Refer to Exhibit 1-4. Height is an example of a(n) ____.

1. constant

2. independent variable

3. dependent variable

4. statistic

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3. (Points: 1)

Exhibit 1-4

Let’s assume you have measured the height of all psychology majors at your university.

Refer to Exhibit 1-4. The height scores constitute a ____ with regard to psychology majors at your university.

1. parameter

2. population

3. sample

4. statistic

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4. (Points: 1)

Exhibit 1-4

Let’s assume you have measured the height of all psychology majors at your university.

Refer to Exhibit 1-4. The height scores constitute a ____ with regard to psychology majors in universities throughout the world.

1. parameter

2. sample

3. statistic

4. population

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5. (Points: 1)

Exhibit 1-4

Let’s assume you have measured the height of all psychology majors at your university.

Refer to Exhibit 1-4. The average (mean) value of the height scores constitutes a ____ with regard to psychology majors at your university.

1. sample

2. parameter

3. statistic

4. population

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6. (Points: 1)

Exhibit 1-4

Let’s assume you have measured the height of all psychology majors at your university.

Refer to Exhibit 1-4. The average (mean) value of the height scores constitutes a ____ with regard to psychology majors at universities throughout the world.

1. sample

2. parameter

3. population

4. statistic

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7. (Points: 1)

In inferential statistics the object is usually to generalize from a ____ to a ____.

1. sample; population

2. population; sample

3. data; variable

4. constant; variable

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8. (Points: 1)

In acquiring knowledge the method that employs logic, reasoning and objective assessment is referred to as ____.

1. intuition

2. the method of authority

3. rationalism

4. scientific method

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9. (Points: 1)

Exhibit 2-4

X1 = 2, X2 = 4, X3 = 6, X4 = 10

Refer to Exhibit 2-4. What is the value for S X?

1. 12

2. 480

3. 22

4. 156

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10. (Points: 1)

Exhibit 2-4

X1 = 2, X2 = 4, X3 = 6, X4 = 10

Refer to Exhibit 2-4. What is the value of S X 2?

1. 480

2. 22

3. 37

4. 156

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11. (Points: 1)

Exhibit 2-4

X1 = 2, X2 = 4, X3 = 6, X4 = 10

Refer to Exhibit 2-4. What is the value of X42?

1. 4

2. 10

3. 6

4. 100

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12. (Points: 1)

Exhibit 2-4

X1 = 2, X2 = 4, X3 = 6, X4 = 10

Refer to Exhibit 2-4. What is the value of (S X)2?

1. 484

2. 44

3. 480

4. 156

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13. (Points: 1)

Exhibit 2-4

X1 = 2, X2 = 4, X3 = 6, X4 = 10

Refer to Exhibit 2-4. What is the value of N?

1. 6

2. 10

3. 4

4. 2

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14. (Points: 1)

Exhibit 2-4

X1 = 2, X2 = 4, X3 = 6, X4 = 10

Refer to Exhibit 2-4. What is the value of (S X)/N?

1. 5.5

2. 5

3. 6

4. 4

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15. (Points: 1)

“Brand of soft drink” is measured on a(n) ____.

1. ordinal scale

2. nominal scale

3. ratio scale

4. interval scale

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16. (Points: 1)

Exhibit 3-1

A psychologist is interested in the social interactions of preschool children. She measures the number of verbal interactions that each child at a preschool engages in during a day. Here is the frequency distribution of the data.

Refer to Exhibit 3-1. The real limits of the interval 56-65 are ____.

1. 56-65

2. 55.5-65.5

3. 55-67

4. 56.5-65.5

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17. (Points: 1)

Exhibit 3-1

A psychologist is interested in the social interactions of preschool children. She measures the number of verbal interactions that each child at a preschool engages in during a day. Here is the frequency distribution of the data.

Refer to Exhibit 3-1. The relative frequency for the interval 76-85 is ____.

1. 0.13

2. 0.09

3. 0.11

4. 0.16

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18. (Points: 1)

Exhibit 3-1

A psychologist is interested in the social interactions of preschool children. She measures the number of verbal interactions that each child at a preschool engages in during a day. Here is the frequency distribution of the data.

Refer to Exhibit 3-1. The cumulative frequency for the interval 46-55 is ____.

1. 9

2. 0.29

3. 13

4. 4

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19. (Points: 1)

Exhibit 3-1

Refer to Exhibit 3-1. The cumulative % for the interval 46-55 is ____.

1. 28.89%

2. 0.64%

3. 20.00%

4. 8.89%

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20. (Points: 1)

Exhibit 3-1

Refer to Exhibit 3-1. The percentile rank of a score of 40 is ____.

1. 9.67%

2. 16.33%

3. 16.00%

4. 16.67%

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21. (Points: 1)

Exhibit 3-1

Refer to Exhibit 3-1. The 50th percentile point is ____.

1. 65.00

2. 62.15

3. 65.50

4. 74.00

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22. (Points: 1)

Your new Mercedes weighs 1850 kilograms when measured to the nearest kilogram. The real limits of its weight are ____.

1. 1800-1900

2. 1840-1860

3. 1849.5-1850.5

4. 1849-1851

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23. (Points: 1)

The range of a set of scores with a maximum value of 92 and a minimum value of 26 is ____.

1. 67

2. 65

3. 92

4. 66

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24. (Points: 1)

A distribution which has a predominance of scores at the lower values of the distribution and which tails off at the higher end is ____.

1. symmetrical

2. normally distributed

3. negatively skewed

4. positively skewed

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25. (Points: 1)

A curve is negatively skewed when ____.

1. most of the scores occur at the lower end of the horizontal axis and the curve tails off toward the higher end

2. it is folded in half and the two sides do not coincide

3. most of the scores occur at the higher end of the horizontal axis and the curve tails off toward the lower end.

4. there are not enough scores

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26. (Points: 1)

In a certain statistics course, four exams were given. Each student’s grade was based on a weighted average of his exam scores. The first two tests had weights of 1, the third test had a weight of 2, and the final test had a weight of 3. The exam scores for one student are listed below.

The student’s overall average was ____.

1. 83.18

2. 151.28

3. 86.44

4. 47.52

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27. (Points: 1)

Exhibit 4-1

An industrial psychologist observed 8 drill-press operators for one working day. She recorded the number of times each operator pressed the “faster” button instead of the “stop” button to determine whether the design of the control panel was contributing to the high rate of accidents in the plant. The resulting scores were as follows:

5, 2, 8, 2, 3, 2, 4, 12

Refer to Exhibit 4-1. The mode for this distribution is ____.

1. 8

2. 3

3. there is no mode

4. 2

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28. (Points: 1)

Exhibit 4-1

An industrial psychologist observed 8 drill-press operators for one working day. She recorded the number of times each operator pressed the “faster” button instead of the “stop” button to determine whether the design of the control panel was contributing to the high rate of accidents in the plant. The resulting scores were as follows:

5, 2, 8, 2, 3, 2, 4, 12

Refer to Exhibit 4-1. The median is ____.

1. 2.00

2. 3.50

3. 3.25

4. 3.00

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29. (Points: 1)

Exhibit 4-1

An industrial psychologist observed 8 drill-press operators for one working day. She recorded the number of times each operator pressed the “faster” button instead of the “stop” button to determine whether the design of the control panel was contributing to the high rate of accidents in the plant. The resulting scores were as follows:

5, 2, 8, 2, 3, 2, 4, 12

Refer to Exhibit 4-1. The mean is ____.

1. 4.75

2. 4.15

3. 5.43

4. 3.52

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30. (Points: 1)

Exhibit 4-1

5, 2, 8, 2, 3, 2, 4, 12

Refer to Exhibit 4-1. The range is ____.

1. 12

2. 10

3. 9

4. 2

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31. (Points: 1)

Exhibit 4-1

5, 2, 8, 2, 3, 2, 4, 12

Refer to Exhibit 4-1. The standard deviation is ____. Assume sample data.

1. 2.28

2. 3.34

3. 5.81

4. 3.58

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32. (Points: 1)

Exhibit 4-1

5, 2, 8, 2, 3, 2, 4, 12

Refer to Exhibit 4-1. The variance is ____. Assume sample data.

1. 11.19

2. 33.75

3. 12.79

4. 15.75

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33. (Points: 1)

In a bell-shaped distribution, ____.

1. median = mean

2. median < mean

3. median > mean

4. standard deviation equals variance

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34. (Points: 1)

The most commonly encountered measure of variability is ____.

1. range

2. mean

3. mode

4. standard deviation

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35. (Points: 1)

The mean is ____ sensitive to extreme scores than the median.

1. equally

2. less

3. can’t say without the scores

4. more

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36. (Points: 1)

Exhibit 5-1

A stockbroker has kept a daily record of the value of a particular stock over the years and finds that prices of the stock form a normal distribution with a mean of $8.52 with a standard deviation of $2.38.

Refer to Exhibit 5-1. The percentile rank of a price of $13.87 is ____.

1. 51.22%

2. 98.78%

3. 1.22%

4. 48.78%

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37. (Points: 1)

Exhibit 5-1

A stockbroker has kept a daily record of the value of a particular stock over the years and finds that prices of the stock form a normal distribution with a mean of $8.52 with a standard deviation of $2.38.

Refer to Exhibit 5-1. What percentage of the distribution lies between $5 and $11?

1. 49.41%

2. 21.48%

3. 57.98%

4. 78.41%

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38. (Points: 1)

Exhibit 5-1

A stockbroker has kept a daily record of the value of a particular stock over the years and finds that prices of the stock form a normal distribution with a mean of $8.52 with a standard deviation of $2.38.

Refer to Exhibit 5-1. What percentage of the distribution lies below $7.42.

1. 31.92%

2. 32.28%

3. 17.72%

4. 82.28%

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39. (Points: 1)

Exhibit 5-1

Refer to Exhibit 5-1. The stock price beyond which 0.05 of the distribution falls is ____.

1. $ 4.60

2. $12.47

3. $12.44

4. $ 4.57

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40. (Points: 1)

Exhibit 5-1

Refer to Exhibit 5-1. The percentage of scores that lie between $9.00 and $10.00 is ____.

1. 23.24%

2. 15.31%

3. 7.93%

4. 31.17%

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41. (Points: 1)

The standard deviation of the z distribution equals ____.

1. 0

2. S X

3. N

4. 1

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42. (Points: 1)

The mean of the z distribution equals ____.

1. S X

2. N

3. 0

4. 1

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43. (Points: 1)

In a normal distribution approximately ____ of the scores will fall within 1 standard deviation of the mean.

1. 95%

2. 83%

3. 14%

4. 70%

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44. (Points: 1)

If a distribution of raw scores is negatively skewed, transforming the raw scores into z scores will result in a ____ distribution.

1. positively skewed

2. bell-shaped

3. normal

4. negatively skewed

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45. (Points: 1)

In the equation, Y = bX + a, a is ____.

1. a variable relating Y to X

2. a constant giving the value of the Y axis intercept

3. a constant giving the value of the slope of the line

4. a variable relating X to Y

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46. (Points: 1)

In a perfect relationship, ____.

1. all the points fall on the line

2. some of the points fall on the line

3. the points form an ellipse around the line

4. none of the points fall on the line

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47. (Points: 1)

The lowest degree of correlation shown below is ____.

1. -0.25

2. -0.33

3. 0.15

4. 0.75

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48. (Points: 1)

Rho is used ____.

1. when both variables are dichotomous

2. when one or both variables are only of ordinal scaling

3. when the data is nonlinear

4. when both variables are of interval or ratio scaling

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49. (Points: 1)

Exhibit 6-1

A traffic safety officer conducted an experiment to determine whether there is a correlation between people’s ages and driving speeds. Six individuals were randomly sampled and the following data were collected.

Age

20

25

45

46

60

65

Speed (mph)

60

47

55

38

45

35

Refer to Exhibit 6-1. The value of Pearson r equals ____.

1. +0.70

2. -0.70

3. -0.82

4. -0.63

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50. (Points: 1)

Exhibit 6-1

A traffic safety officer conducted an experiment to determine whether there is a correlation between people’s ages and driving speeds. Six individuals were randomly sampled and the following data were collected.

Age

20

25

45

46

60

65

Speed (mph)

60

47

55

38

45

35

Refer to Exhibit 6-1. The proportion of variability of Y accounted for by X is ____.

1. -0.49

2. 0.67

3. 0.40

4. 0.49

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51. (Points: 1)

The primary reason we use a scatter plot in linear regression is ____.

1. to determine the slope of the least squares regression line

2. to determine if the relationship is linear or curvilinear

3. to compute the magnitude of the relationship

4. to determine the direction of the relationship

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52. (Points: 1)

For the following points what would you predict to be the value of Y’ when X = 19? Assume a linear relationship.

X

6

12

30

40

Y

10

14

20

27

1. 17.75

2. 16.35

3. 24.69

4. 22.00

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53. (Points: 1)

If X and Y are transformed into z scores, and the slope of the regression line of the z scores is -0.80, what is the value of the correlation coefficient?

1. 0.30

2. -0.40

3. 0.70

4. -0.80

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54. (Points: 1)

If the regression equation for a set of data is Y’ = 2.650X + 11.250 then the value of Y’ for X = 33 is ____.

1. 87.45

2. 98.70

3. 76.20

4. 371.25

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55. (Points: 1)

If = 57.2, = 84.6, and bY = 0.37, the value of aY = ____

1. 63.44

2. -25.90

3. 27.40

4. 141.80

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56. (Points: 1)

SPSS software can be used to do ____ .

1. only inferrential statistics

2. both descriptive and inferrential statistics

3. neither descriptive nor inferrential statistics

4. only descriptive statistics

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57. (Points: 1)

In SPSS, you can enter data by ____ .

1. only typing directly into the data editor

2. both typing directly into the data editor and opening saved data files that are stored on your computer

3. only opening saved data files that are stored on your computer

4. opening a Microsoft Word document

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58. (Points: 1)

SPSS has a window called ____.

1. “variable view”.

2. “quick analysis”

3. “statistical methods”.

4. “easy analysis”

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59. (Points: 1)

SPSS software gives you an option to ____.

1. automatically write a paragraph explaing your results

2. automatically pick the right statistical procedure to analyze your data

3. generate graphs

4. decide if your results are meaningful

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60. (Points: 1)

In SPSS, when you click on Analyze and then select Descriptive Statistics, this function allows you to compute the ____.

1. range

2. mean

3. standard deviation

4. all of the three given options (above or below).