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5.2 - Measures of Central Tendency - MCQs

Interactive MCQs Quiz

Test your knowledge with these questions

1. What is the mean of a set of numbers?

2. In the example provided, what is the mean of the numbers 2, 5, 8, 3, and 9?

3. What does the formula for arithmetic mean indicate?

4. What is the first property of the arithmetic mean?

5. If every value of a variable is increased by a constant 𝑎, what happens to the arithmetic mean?

6. What does it mean for the arithmetic mean to be dependent on the change of origin and scale?

7. What is the minimum property of the sum of the squares of the deviations about the mean?

8. How do you find the arithmetic mean of the first 𝑛 natural numbers?

9. If 8 is the average of six variates and five of them are 8, 15, 0, 6, and 11, how can the sixth variate be determined?

10. If the first five variates are 8, 15, 0, 6, and 11, what is the total sum required to find the sixth variate?

11. What does the value of 𝑁 N represent in a discrete frequency distribution?

12. In a discrete series, if the value 𝑥1 occurs 𝑓1 times and 𝑥2 occurs 𝑓2 times, what is the total frequency represented as?

13. Which of the following is NOT one of the methods for calculating the arithmetic mean?

14. The arithmetic mean is applicable to which type of series?

15. What is the value of the mean (𝑋) as provided in the information?

16. In a discrete frequency distribution, if the frequencies are provided for various variable values, what is this type of data called?

17. What is the purpose of calculating the arithmetic mean in a data set?

18. Which method would be most appropriate for quickly calculating the arithmetic mean when dealing with large sets of data?

19. If the total frequency 𝑁 N equals the sum of individual frequencies Σ 𝑓𝑖, what can be inferred?

20. In a continuous series, what replaces the class intervals for calculating the mean?

21. How is the arithmetic mean of a continuous series calculated?

22. What is the primary difference between a continuous series and a discrete series?

23. Which of the following is an example of a continuous series?

24. Which method is NOT used to find the arithmetic mean of a continuous series?

25. What is the formula used in the direct method to find the mean in a continuous series?

26. What does the shortcut method for finding the mean involve?

27. In the step deviation method, what role does the class interval width play?

28. What is the purpose of the step deviation method?

29. What is an important step in the step deviation method?

30. Which method requires the use of an assumed mean for calculating the arithmetic mean?

31. In the given example of a continuous series, how many students scored between 50 and 60?

32. How is the mean calculated in the step deviation method?

33. What is the assumed mean used for in the shortcut and step deviation methods?

34. What is the geometric mean of a dataset?

35. How is the geometric mean of two numbers (a) and (b) calculated?

36. What is the geometric mean of 4 and 16?

37. Which of the following statements is true regarding the relationship between the arithmetic mean (AM) and geometric mean (GM)?

38. According to the geometric mean theorem, what is the relationship between segments (a), (b), and the altitude (h) in a right triangle?

39. Which of the following is NOT a property of the geometric mean?

40. In what fields is the geometric mean commonly used?

41. How do you find the geometric mean of the numbers 2, 4, 6, 8, 10, and 12?

42. What is the product (P) of the numbers 2, 4, 6, 8, 10, and 12?

43. How is the geometric mean applied in biological processes?

44. What is the definition of the median in a dataset?

45. What does it mean when it is stated that fifty percent of the goods are above and fifty percent are below their worth?

46. How do you determine the median when the number of observations is even?

47. What are the first steps to compute the median of ungrouped data?

48. What does 'n' represent in the context of median calculation?

49. Why is sorting the data important when calculating the median?

50. In the provided example, how many observations are there in the dataset of heights?

51. What is the correct order of the heights when arranged in ascending order?

52. How is the median related to the concept of central tendency?

53. What is the formula to find the position of the median in an ordered dataset?

54. What does the median represent in a discrete series?

55. In a discrete series, what does 'N' represent?

56. How is the cumulative frequency defined in a discrete series?

57. What are the first steps to calculate the median of a discrete series?

58. When calculating the median item, what does the formula \( \text{Median} = \text{Size of the } \frac{N}{2} \text{ th item} \) indicate?

59. In the example given, how many students received 60 marks?

60. What is the cumulative frequency if three students receive 60 marks, nine students receive 70 marks, five students receive 80 marks, and two students receive 90 marks?

61. If the median of a discrete series is given as 12, what does this imply about the dataset?

62. How do you identify the missing frequency in a given series when the median is known?

63. What is the missing frequency value in the example where the median is 12?

64. What is the definition of the median in the context of continuous data?

65. How is the median calculated in a continuous series?

66. What is the first step in calculating the median of continuous data?

67. In continuous data, how is the class interval related to the calculation of the median?

68. What is the formula for finding the median in a continuous frequency distribution?

69. In the median formula \( L + \left( \frac{N}{2} - CF \right) \times h \), what does 'L' represent?

70. What does 'CF' stand for in the median formula?

71. How do you determine the median class in a continuous frequency distribution?

72. If the total number of observations (N) is 50, at what cumulative frequency should the median be located?

73. Why is the median a preferred measure of central tendency for continuous data?

74. What is the mode in a dataset?

75. In a dataset, if there are two values that occur with the highest frequency, what is it called?

76. How do you identify the mode in ungrouped data?

77. What is the mode of the following dataset: 4, 1, 2, 2, 3, 4, 4, 5?

78. In discrete data, what does it mean if there is no mode?

79. Which of the following statements is true regarding the mode?

80. How does the mode differ from the median and mean?

81. If the following frequencies are given for discrete data: Value 1 occurs 3 times, Value 2 occurs 5 times, Value 3 occurs 5 times, and Value 4 occurs 2 times, what is the mode?

82. In what scenario is the mode most useful?

83. How do you calculate the mode in a discrete frequency distribution?

84. What is the mode in a continuous dataset?

85. How is the mode determined in a continuous frequency distribution?

86. In a continuous distribution, what is the formula used to calculate the mode?

87. What does 'L' represent in the mode formula for continuous data?

88. In the mode formula 𝐿 + (𝑓1 − 𝑓0) / (2𝑓1 − 𝑓0 − 𝑓2) × ℎ, what does 'f1' represent?

89. What does 'h' represent in the mode formula?

90. If a continuous dataset has multiple modes, what is it called?

91. How do you identify the modal class in a continuous frequency distribution?

92. Why is the mode important in continuous data analysis?

93. In a dataset with the following class intervals and frequencies, how is the mode determined?

Class Interval: 10-20 (frequency 5)
20-30 (frequency 15)
30-40 (frequency 20)
40-50 (frequency 10)

94. What are the three measures of central tendency?

95. In a perfectly symmetrical distribution, what is the relationship between the mean, median, and mode?

96. In a negatively skewed distribution, which of the following relationships typically holds true?

97. In a positively skewed distribution, what is the usual order of mean, median, and mode?

98. Which of the following statements is true regarding the mean, median, and mode?

99. In a dataset with extreme values, which measure of central tendency is likely to provide the most accurate representation of the data?

100. How is the mean calculated in a set of numbers?

101. What happens to the mean if an extreme value is added to a dataset?

102. In which situation is the mode the most informative measure of central tendency?

103. Which of the following best describes the median?

104. If the mean of a dataset is greater than the median, what can be inferred about the distribution?

105. In a dataset with the following values: 3, 7, 7, 8, 9, 10, 10, 10, 11, what are the mean, median, and mode?

106. If a dataset has a mode but no median, what can be inferred about the data?

107. Which of the following distributions would likely have a mode that differs significantly from the mean?

108. In a perfectly symmetrical bell curve, what would the values of the mean, median, and mode be?

109. Which measure of central tendency is most appropriate for ordinal data?

110. If the mode is greater than the median, what can be inferred about the distribution?

111. Which measure is considered the best representation of central tendency in a skewed distribution?

112. If a dataset has multiple modes, it is termed as:

113. In which scenario would the mean be considered the least useful measure of central tendency?

114. Which of the following measures can be affected by outliers?

115. In a data set with equal frequencies, which measure of central tendency would be the most reliable?

116. What is the mode of the dataset: 2, 3, 4, 4, 5, 5, 5, 6, 7?

117. Which measure is not affected by the order of values in the dataset?

118. What can be said about the mean, median, and mode in a negatively skewed distribution?

119. In a dataset containing the numbers 1, 1, 2, 2, 3, 3, 4, what is the median?

120. If the dataset is: 10, 20, 30, 40, 50, what is the mean?

121. In a normal distribution, how do the mean, median, and mode compare?

122. Which of the following measures can be used to describe a categorical dataset?

123. In which case would the median and mean be significantly different?