Group A) 33.54 goes with A, B, and C; 0.92 goes with X, Y, and Z. The F-statistic for A, B, and C is larger because the variation within groups is smaller relative to the variation between groups. B) 33.54 goes with A, B, and C; 0.92 goes with X, Y, and Z. The F-statistic for A, B, and C is larger because the variation between groups is smaller relative to the variation within groups. C) 0.92 goes with A, B, and C; 33.54 goes with X, Y, and Z. The F-statistic for X, Y, and Z is larger because the variation within groups is smaller relative to the variation between groups. D) 0.92 goes with A, B, and C; 33.54 goes with X, Y, and Z. The F-statistic for X, Y, and Z is larger because the variation between groups is smaller relative to the variation within groups.

Group A) 33.54 goes with A, B, and C; 0.92 goes with X, Y, and Z. The F-statistic for A, B, and C is larger because the variation within groups is smaller relative to the variation between groups. B) 33.54 goes with A, B, and C; 0.92 goes with X, Y, and Z. The F-statistic for A, B, and C is larger because the variation between groups is smaller relative to the variation within groups. C) 0.92 goes with A, B, and C; 33.54 goes with X, Y, and Z. The F-statistic for X, Y, and Z is larger because the variation within groups is smaller relative to the variation between groups. D) 0.92 goes with A, B, and C; 33.54 goes with X, Y, and Z. The F-statistic for X, Y, and Z is larger because the variation between groups is smaller relative to the variation within groups.

Name: 25) Refer to the figure below. A ssume that all the distributions are
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Description: 25) Refer to the figure below. A ssume that all the distributions are symmetric (i.e. the sample mean and median areapproximately equal) and that all the samples sizes are the same. Imagine carrying out two ANOVAS. The firstANOVA compares the means

MATLAB: An Introduction with Applications

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ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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Concept explainers

Contingency Table

A contingency table can be defined as the visual representation of the relationship between two or more categorical variables that can be evaluated and registered. It is a categorical version of the scatterplot, which is used to investigate the linear relationship between two variables. A contingency table is indeed a type of frequency distribution table that displays two variables at the same time.

Binomial Distribution

Binomial is an algebraic expression of the sum or the difference of two terms. Before knowing about binomial distribution, we must know about the binomial theorem.

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Question

25) Refer to the figure below. A ssume that all the distributions are symmetric (i.e. the sample mean and median are
approximately equal) and that all the samples sizes are the same. Imagine carrying out two ANOVAS. The first
ANOVA compares the means based on samples A, B, and C (left of the vertical line), and the second ANOVA
compares the means based on samples X, Y, and Z (right of the vertical line). One of the calculated values of the
F-statistic is 0.92 and the other is 33.54. Which value is which, and why?
Data
in HER2 on inv breast
aloo sals imme e to
60
50
Che
30
20
10
A
Group
A) 33.54 goes with A, B, and C; 0.92 goes with X, Y, and Z. The F-statistic for A, B, and C is larger because the
variation within groups is smaller relative to the variation between groups.
B) 33.54 goes with A, B, and C;0.92 goes with X, Y, and Z. The F-statistic for A, B, and C is larger because the
variation between groups is smaller relative to the variation within groups.
C) 0.92 goes with A, B, and C; 33.54 goes with X, Y, and Z. The F-statistic for X, Y, and Z is larger because the
variation within groups is smaller relative to the variation between groups.
D) 0.92 goes with A, B, and C; 33.54 goes with X, Y. and Z. The F-statistic for X, Y, and Z is larger because the
variation between groups is smaller relative to the variation within groups.
40

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