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In each of Exercises 12.18-12.23, we have provided a distribution and the observed frequencies of the values of a variable from a simple random sample of a population. In each case, use the chi-square goodness-of-fit test to decide, at the specified significance level, whether the distribution of the variable differs from the given distribution.

Distribution:0.5,0.3,0.2

Observed frequencies:147,115,88

Significance level=0.01

Short Answer

Expert verified

The variable has the given specified distribution.

Step by step solution

01

Step 1. Given Information 

We are given the sample size is,

n=9+7+1+12+21=50

Level of significance,

α=0.01

02

Step 2. Calculation the goodness of fit .  

Performing the hypothesis test,

The test hypotheses,

H0:The variable has the given specified distribution

Ha:The variable differ from the given distribution

Calculating the Goodness of fit,

Observed
frequencies
Relative
frequencies
Expected
frequencies
Obs-Exp(Obs-Exp)2Exp
90.210-10.1
70.1520.8
10.15-43.2
120.315-30.6
210.315-62.4
03

Step 3. Finding the distribution of variables differs or not.  

We get,

∑(Obs-Exp)2Exp=7.1

The degrees of freedom of the given data is,

=k-1=5-1=4

Critical value is χ0.102for 4dfis7.779,

The value of the test statistic is,χ2=7.1

χ2=7.1<χ0.102=7.779,

because it does not fall in the rejection region.

So, we do not reject the null hypothesis, H0

Do not reject H0;H0Variable has distribution given in the problem.

Therefore, the variable has the given specified distribution.

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