A teacher gave a statistics test to a class of SHS-STEM students and computed the measures of central tendency for the test scores. Which of the following statements CANNOT be an accurate description of the scores? A. The majority of the students had scores above the mean B. The majority of the students had scores above the median C. The majority of the students had scores above the mode. D. All of the above options are false statements.

A teacher gave a statistics test to a class of SHS-STEM students and computed the measures of central tendency for the test scores. Which of the following statements CANNOT be an accurate description of the scores? A. The majority of the students had scores above the mean B. The majority of the students had scores above the median C. The majority of the students had scores above the mode. D. All of the above options are false statements.

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 20PFA

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Question

A teacher gave a statistics test to a class of SHS-STEM students and computed the measures of central tendency for the test scores. Which of the following statements CANNOT be an accurate description of the scores?

A. The majority of the students had scores above the mean

B. The majority of the students had scores above the median

C. The majority of the students had scores above the mode.

D. All of the above options are false statements.

Definition Definition Measure of central tendency that is the value that occurs most frequently in a data set. A data set may have more than one mode if multiple categories repeat an equal number of times. For example, in a data set with five item—3, 5, 5, 29, 473—the mode is 5 because it occurs twice and no other value occurs more than once. On a histogram or bar chart, the element with the highest bar represents the mode. Therefore, the mode is sometimes considered the most popular option. The mode is useful for nominal or categorical data (e.g., the most common color car that users purchase), but it is problematic for continuous data because it is more likely not to have any value that is more frequent than the other.

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