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​ A researcher used a sample of n = 60 individuals to determine whether there are any preferences among four brands of pizza. Each individual tastes all four brands and selects his/her favorite. If the data are evaluated with a chi-square test for goodness of fit using α = .05, then how large does the chi-square statistic need to be to reject the null hypothesis?

User Nino
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Answer:

7.815

Explanation:

Data provided:

Total sample size, n = 60

Total number of choices of brands = 4

Probability of exceeding the critical value, α = 0.05

Now,

The critical value of
\chi_(0.05,df)^(2)

here,

degree of freedom, df = 4 - 1 = 3

Thus,


\chi_(0.05,3)^(2)

from the critical value of Chi square table

the value of
\chi_(0.05,3)^(2) = 7.815

Hence,

To reject null hypothesis, chi - square test statistic should be greater than 7.815

User GeoJim
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