In: Statistics and Probability
A dept. Store marketing study claims 40% of customers prefer Calvin Klein, 30% prefer Tommy Hilfiger, 20% prefer Ralph Lauren and 10% prefer other. A survey of 500 customers finds the following: 175 prefer Calvin Klein, 150 prefer Tommy Hilfiger, 150 Prefer Ralph Lauren and 25 prefer other.
Test the goodness of-fit of the marketing study's model using alpha =.05
A survey of 500 customers finds the following: 175 prefer Calvin Klein, 150 prefer Tommy Hilfiger, 150 Prefer Ralph Lauren and 25 prefer other.
Store marketing study claims 40% of customers prefer Calvin Klein, 30% prefer Tommy Hilfiger, 20% prefer Ralph Lauren and 10% prefer other.
I find expected customer number of calvin klein = 500 *40 /100 = 200 .
similarly I find for all the other brands as summarized below-
Brand | Observed frequency | Expected frequency |
Calvin Klein | 175 | 200 |
Hilfiger | 150 | 150 |
Ralph Lauren | 150 | 100 |
other | 25 | 50 |
I shall test for 2 ( Chi Square ) goodness of fit.
2 = ( Observed - Expected )2 / Expected
= (175 -200)^2 / 200 + ( 150 - 150)^2 / 150 + ( 150-100)^2 / 100+ ( 25-50 ) ^ 2 / 50 = 40.625
2 crit = 2 =0.05 , 3 = 7.815 [ since there are 4 groups so 3 degrees of freedom]
2 crit < 2 so reject null hypothesis.
Data doesn't fit well with the study claim.
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