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Use the following word bank to fill in the blanks below. Each word is used exactly once. numerical cannot parameters Chi-Squared Test of Independence can statistics sample In statistics we use categorical response a. d. predictor ANOVA The b. population nonbinary to make inferences about variables are genera

Use the following word bank to fill in the blanks below. Each word is used exactly once. numerical cannot parameters Chi-Squared Test of Independence can statistics sample In statistics we use categorical response a. d. predictor ANOVA The b. population nonbinary to make inferences about variables are genera

MATLAB: An Introduction with Applications
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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1. Use the following word bank to fill in the blanks below. Each word is used exactly once. numerical cannot parameters Chi-Squared Test of Independence can statistics sample In statistics we use C. summarized via means and proportions. categorical response When we have a numerical then we must use a a. d. associated. In this case, we f. predictor ANOVA The b. m. e. variable and a categorical predictor, we compare means of various populations. If the categorical predictor has more than two levels, which we call then we must use population nonbinary to make inferences about variables are generally summarized via variables are generally i. determine if the two variables are associated. In this case, we regression to model the relationship. When we have a categorical response variable and a categorical use a contingency table to compare populations. If either variable has more than two levels, in order to determine if the two variables are in order to k. use we can use regression to model the relationship.
Transcribed Image Text:1. Use the following word bank to fill in the blanks below. Each word is used exactly once. numerical cannot parameters Chi-Squared Test of Independence can statistics sample In statistics we use C. summarized via means and proportions. categorical response When we have a numerical then we must use a a. d. associated. In this case, we f. predictor ANOVA The b. m. e. variable and a categorical predictor, we compare means of various populations. If the categorical predictor has more than two levels, which we call then we must use population nonbinary to make inferences about variables are generally summarized via variables are generally i. determine if the two variables are associated. In this case, we regression to model the relationship. When we have a categorical response variable and a categorical use a contingency table to compare populations. If either variable has more than two levels, in order to determine if the two variables are in order to k. use we can use regression to model the relationship.
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