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Homework > Homework 6.3 You are conducting a Goodness of Fit hypothesis test for the claim that all 5 categories are equally
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We have to perform Chi-square test for goodness of fit.

We have to test for null hypothesis \tiny H_0:\text{All 5 categories are equally likely to be selected.}

against the alternative hypothesis \tiny H_1:\text{All 5 categories are not equally likely to be selected.}

Our Chi-square test statistic is given by

x2 = Σ (fi - e;)2 i=1 ei

Here,

Number of categories n = 5

Necessary calculations are as follows.

(f-e)^2/e Category Observed Expected frequency (f) frequency (e) A 21 17.80 B 15 17.80 C 10 17.80 D 23 17.80 E 20 17.80 Total

\tiny \therefore \chi^2_{calculated}=\sum_{i=1}^{5}\frac{\left(f_{i}-e_{i}\right)^2}{e_{i}}=6.2247

Degrees of freedom \tiny v=n-1=4

\tiny \therefore \text{p-value}=P\left(\chi^2_{4}>6.2247\right)=0.1829842 [Using R-code '1-pchisq(6.2247,4)']

Level of significance \tiny \alpha=0.05

We reject our null hypothesis if \tiny \text{p-value}<\alpha

Here, we observe that \tiny \text{p-value}=0.1829842\nless0.05=\alpha

Hence, we fail to reject the null hypothesis.

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