Which of the following statements about the chi-square distribution is/are true? Select all that apply. A. The total area uder the chi square curve is equal to its degrees of freedom B. For very large samples, it begins to approximate a normal distribution. C. it has a mean equal to the degrees of freedom in the analysis D. The chi-square curve approaches but never touches the positive horizontal axis The mode of chi-square distribution always exists

Which of the following statements about the chi-square distribution is/are true? Select all that apply. A. The total area uder the chi square curve is equal to its degrees of freedom B. For very large samples, it begins to approximate a normal distribution. C. it has a mean equal to the degrees of freedom in the analysis D. The chi-square curve approaches but never touches the positive horizontal axis The mode of chi-square distribution always exists

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

18th Edition

ISBN:9780079039897

Author:Carter

Publisher:Carter

Chapter10: Statistics

Section10.4: Distributions Of Data

Problem 19PFA

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Question

Which of the following statements about the chi-square distribution is/are true? Select all that apply.

A. The total area uder the chi square curve is equal to its degrees of freedom

B. For very large samples, it begins to approximate a normal distribution.

C. it has a mean equal to the degrees of freedom in the analysis

D. The chi-square curve approaches but never touches the positive horizontal axis

The mode of chi-square distribution always exists

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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