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pls answer b with some explanation tq

pls answer b with some explanation tq

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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pls answer b with some explanation tq 

Q7. The times required by three workers to perform an assembly-line task were recorded on five randomly selected occasions. Here are the times, to the nearest minute. Using the data given below apply a one way ANOVA test at 0.05 significant level. (a) (b) (c) ANOVA Test Table: Source of Variation Between (SSC) Within (SSE) Total (SST) Sum of Squares (SS) SSC SSE SST= SSC +SSE Hank 8 10 9 11 10 Degrees of Freedom (df) dfc dfe Joseph 8 9 9 8 10 dft Susan 10 9 10 11 9 Mean Squares (MS) MSC= SSC/dfc MSE= SSE/dfe F F= MSC/MSE Calculate the effect size with ANOVA, n² (Eta squared). Fill in the calculated values in the ANOVA test table. Writeup APA format results. Fcritical F Table for a = 0.05 (p) F(a, dfc, 4fe)
Transcribed Image Text:Q7. The times required by three workers to perform an assembly-line task were recorded on five randomly selected occasions. Here are the times, to the nearest minute. Using the data given below apply a one way ANOVA test at 0.05 significant level. (a) (b) (c) ANOVA Test Table: Source of Variation Between (SSC) Within (SSE) Total (SST) Sum of Squares (SS) SSC SSE SST= SSC +SSE Hank 8 10 9 11 10 Degrees of Freedom (df) dfc dfe Joseph 8 9 9 8 10 dft Susan 10 9 10 11 9 Mean Squares (MS) MSC= SSC/dfc MSE= SSE/dfe F F= MSC/MSE Calculate the effect size with ANOVA, n² (Eta squared). Fill in the calculated values in the ANOVA test table. Writeup APA format results. Fcritical F Table for a = 0.05 (p) F(a, dfc, 4fe)
Expert Solution
Introduction

Anova explain the mean significance between the three or more groups. It use F test to make conclusion about the anova. It explain the variation between and within the groups. The F test statistic is calculated by dividing the between mean sum of square and within sum of square. 

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