Statistics MCQ Questions Answers

1. A histogram is a type of frequency __________.

2. Raw, unorganized facts that need to be processed are called ________.

3. Probability of an outcome in a decision-making situation with uncertainty is __________.

4. The empirical rule applies to distributions that are ________.

5. _______ is choosing how many to order or make each time an order is planned.

6. The classical approach to probability requires that the outcomes are _______.

7. In a probability histogram, there is a correspondence between _______.

8. This is an arrangement of data, usually in rows and columns. it is called a ___.

9. Selections made with replacement are considered to be _______.

10. When making pareto charts, data should be arranged ________________________ according to frequency.

11. Just because there is a correlation between a and b __________.

12. A(n) _______ distribution has a ""bell"" shape.

13. In a curvilinear regression model, the ________ represents the curvilinear effect.

14. Two samples are ________________ if the sample values are paired.

15. To locate the percentile for a given observation in a data set, the data must be ___________.

16. The sum of the differences between sample observations and the sample mean is equal to _______.

17. The mean of a collection of data is located at the ______ of a distribution of data.

18. The maximum height of a normal curve corresponds to the ________ of a normal distribution.

19. The hypothesis statement h: μ < 60 is an example of a(an) ________ hypothesis.

20. The heights of the bars of a histogram correspond to _______ values.

21. The five number summary can be calculated ___________.

22. The first and second steps in constructing a frequency distribution are __________.

23. The complement of an event a, within the sample space s, is the event consisting of ____________.

24. The area under the normal curve to the right of μ equals _______.

25. By selecting a larger alpha level, a researcher is ______.

26. Data displays are __________ patterns in data.

27. If calculated required sample size is a non integer value, we should always _____ calculated value.

28. Based on the regression equation, we can _______________.

29. Sample size and the confidence level width have a (n) __________ relationship.

30. In a scatterplot, a(n) ______________ is a point lying far away from the other data points.

31. The ___ can be used to show the rank order and shape of a data set simultaneously.

32. Both qualitative and quantitative data can be displayed using a _____ graph.

33. A contingency table would be used to summarize data such as ________.

34. A ____________ variable can have values that are numbers on the real number line.

35. A probability distribution for all possible values of a sample statistic is known as a _____.

36. As the degrees of freedom increase, the t distribution approaches the _____ distribution.

37. The t distribution approaches the _______________ distribution as the sample size ___________.

38. A ______ shows two variables combined as individual points on a graph.

39. As the margin of error decreases, the width of the confidence interval _______________.

40. As the degrees of freedom increase, the t distribution approaches the _____ distribution.

41. Independent variable is also known as_____

42. The value that results from the application of a statistical test is called

43. When are descriptive measures most often used?

44. One advantage of using repeated-measures designs rather than standard between-subjects designs is that ______.

45. An individual at the 50th percentile would have a z score of ______.

46. In which table that allows the user to easily manipulate the rows, columns, and frequencies included in cross-tabulation tables is.?

47. A table that shows frequencies by two or more variables. The levels of one variable become column labels, and the levels of the other variable become row labels is called

48. Examining large data sets for patterns is _____mining

49. 1,152,921,504,606,846,976 bytes of data—lots and lots of data, and the amount of data in the world grew just as you read this is exabytes.

50. A chi-square test of two dimensions or more that examines whether the distribution of frequencies on a variable is _____ of other variables.

51. In which test the goodness of fit test is on one dimension, which examines whether the distribution of frequencies is different from what one would expect by chance.

52. Distribution-free statistics that do not require the same assumptions as do parametric statistics is called

53. Statistics used for the inference from a sample to a population that assume the variances of each group are similar is called

54. A statistical technique whereby several variables are used to predict one is called

55. Standard error of estimate is measure of accuracy in prediction that reflects variability about the regression line.

56. ____ line is trend line

57. Predictor is _____ variable.

58. Criterion is _____variable

59. The difference between the observed score (Y) and the predicted score (Y′) is error in prediction.

60. Line of best fit regression line that best fits the observed scores and minimizes the error in prediction.

61. The line drawn based on values in a regression equation is called

62. The equation that defines the points and the line that are closest to the observed scores is called

63. The predicted Y value in a ____ equation.

64. The predicted ____ value in a regression equation.

65. The outcome where the effect of one factor is differentiated across another factor is called

66. In analysis of variance, when a factor or an independent variable has a significant effect upon the outcome variable is called

67. An analysis of ____ with more than one factor or independent variable.

68. Post hoc is referring to tests done to determine the true source of a difference among three or more groups.

69. An analysis of variance summary is source table that lists sources of variance

70. A research design used to explore more than one treatment variable is called

71. Analysis of variance is ____ way

72. Analysis of variance (or ANOVA) has only ____ independent variable

73. Factorial analysis of variance tests the means of more than one ____variable.

74. Degrees of freedom is value which is different for different _____ tests, that approximates the sample size of number of individual cells in an experimental design.

75. Effect size is measure of the magnitude of difference between ____ groups, usually calculated as Cohen’s d

76. In which mean is used to compare a sample mean in one sample z test?

77. Obtained value is statistical value

78. The probability of ____ a null hypothesis when it is false.

79. The probability of ____a null hypothesis when it is true.

80. Statistical significance is also called significance level.

81. The risk set by the researcher for rejecting a null hypothesis when it is true is called

82. The quality of a normal curve that is relatively ____ compared with a normal distribution.

83. The quality of a normal curve that is relatively ____ compared with a normal distribution.

84. The quality of a distribution that defines how flat or peaked it is called

85. The quality of a distribution that defines the disproportionate frequency of certain scores is called

86. Z score is standard scores

87. A raw score that is adjusted for the mean and standard deviation of the distribution from which the raw score comes is called

88. The quality of the normal curve such that the tails never touch the horizontal axis is called

89. A distribution of ____ that is symmetrical about the mean, the median, and the mode and has asymptotic tails is bell shaped curve.

90. Which type of shaped curve is normal curve?

91. A ____ test, reflecting a nondirectional hypothesis is two tailed test

92. A ____test, reflecting a directional hypothesis is one tailed test

93. A research hypothesis that posits a difference between groups in one direction is called

94. A research hypothesis that posits a difference between groups but not in either direction is known as

95. A statement of inequality between two variables is called

96. A statement of equality between sets of variables is called

97. The difference between sample and population values is sampling error

98. An if–then statement of conjecture that relates variables to one another and is used to reflect the general problem statement is hypothesis

99. How well a test reflects an underlying idea is called

100. How consistent a test outcome is with a criterion that occurs in the future is called