Matching the following concepts to their definitions1<A table used to show therelationship between twovariables.The sum of theprobabilities for thisdistribution equals 1.A parameter needed forthe T and Chi-squaredistributions but not thenormal.The alternative hypothesiswhen we do a test ofequality of 3 or moreproportionsThe Ho for a test ofindependence.The type of data we coverin Chap. 12Decision rule when usingthe critical value approach.This is the distribution ofthe test statistic used in atest of independence1. The chi-square distribution2. Categorical3.4.Not all the population proportionsare equalReject Ho if Chi-square test statistic> Chi-square critical value.5. Degrees of freedom7.6. Crosstab or contingencyVariable 1 does not affect Variable28. Multinomial probability distribution

> A table used to show the relationship between two variables. The sum of the probabilities for this distribution equals 1. A parameter needed for the T and Chi-square distributions but not the normal.

> A table used to show the relationship between two variables. The sum of the probabilities for this distribution equals 1. A parameter needed for the T and Chi-square distributions but not the normal.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Question

Matching the following concepts to their definitions
1
<
A table used to show the
relationship between two
variables.
The sum of the
probabilities for this
distribution equals 1.
A parameter needed for
the T and Chi-square
distributions but not the
normal.
The alternative hypothesis
when we do a test of
equality of 3 or more
proportions
The Ho for a test of
independence.
The type of data we cover
in Chap. 12
Decision rule when using
the critical value approach.
This is the distribution of
the test statistic used in a
test of independence
1. The chi-square distribution
2. Categorical
3.
4.
Not all the population proportions
are equal
Reject Ho if Chi-square test statistic
> Chi-square critical value.
5. Degrees of freedom
7.
6. Crosstab or contingency
Variable 1 does not affect Variable
2
8. Multinomial probability distribution

Expert Solution

Step 1

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