Which statement is NOT correct about the chi- square distribution? А. The area under a chi-square density curve is always equal to 1. В. The test statistic is the sum of positive numbers and therefore must be positive. C. A chi-square distribution never takes negative values. D. A value close to 0 would indicate expected counts are much different from observed counts.
Which statement is NOT correct about the chi- square distribution? А. The area under a chi-square density curve is always equal to 1. В. The test statistic is the sum of positive numbers and therefore must be positive. C. A chi-square distribution never takes negative values. D. A value close to 0 would indicate expected counts are much different from observed counts.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Transcribed Image Text:Which statement is NOT correct about the chi-
square distribution?
A.
The area under a chi-square density curve is
always equal to 1.
В.
The test statistic is the sum of positive
numbers and therefore must be positive.
C.
A chi-square distribution never takes negative
values.
D.
A value close to 0 would indicate expected
counts are much different from observed
counts.

Transcribed Image Text:Which of the following distributions is used to
compare two variances?
А.
Z - Distribution
В.
F- Distribution
С.
T- Distribution
D.
Chi-square Distribution
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