In: Statistics and Probability
A market researcher investigated consumer preferences for Coca-Cola and Pepsi before a taste test and after a taste test. The following table summarizes the results from a sample of 200 consumers:
SOFT DRINK: | ||
---|---|---|
PREFERENCE: | Coca-Cola | Pepsi |
Before Taste Test | 110 | 90 |
After Taste Test | 118 | 82 |
She wanted to perform a chi-square test to see if there is evidence
of a difference in preference for Coca-Cola before and after the
taste test by allowing a 10% probability of incorrectly concluding
that there is a difference when there is in fact no difference.
a) The test will involve _________ degree(s) of freedom.
b) The critical value of the test is _________.
c) The value of the test statistic is _________.
d) Give the above results, should the null hypothesis will be rejected?
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Answer:
a)
b)
From Chi-squared table, for 10% or 90% confidence we find the critical value as 2.706
c)
Chi-squared value = 0.6528
d)
As the Chi Square test statistics is less than the critical value therefore is accepted.
That is two categorical variables are independent. That is, preferences for soft drink before and after taste test are independent. There is no relationship between them.