In: Statistics and Probability
In the Journal of Marketing Research (November 1996),
Gupta studied the extent to which the purchase behavior of
scanner panels is representative of overall brand
preferences. A scanner panel is a sample of households whose
purchase data are recorded when a magnetic identification card is
presented at a store checkout. The table below gives peanut butter
purchase data collected by the A. C. Nielson Company using a panel
of 2,500 households in Sioux Falls, South Dakota. The data were
collected over 102 weeks. The table also gives the market shares
obtained by recording all peanut butter purchases at the same
stores during the same period.
Brand | Size | Number of Purchases by Household Panel | Market Shares |
Jif | 18 oz. | 3,188 | 19.75% |
Jif | 28 | 1,857 | 8.80 |
Jif | 40 | 730 | 5.48 |
Peter Pan | 10 | 4,056 | 16.47 |
Skippy | 18 | 6,221 | 28.16 |
Skippy | 28 | 1,665 | 12.23 |
Skippy | 40 | 1,468 | 9.11 |
Total | 19,185 | ||
Goodness-of-Fit Test | |||||
obs | expected | O – E | (O – E)2/E | % of chisq | |
3,188 | 3,789.038 | -601.038 | 95.340 | 11.47 | |
1,857 | 1,688.280 | 168.720 | 16.861 | 2.03 | |
730 | 1,051.338 | -321.338 | 98.216 | 11.82 | |
4,056 | 3,159.770 | 896.230 | 254.205 | 30.58 | |
6,221 | 5,402.496 | 818.504 | 124.007 | 14.92 | |
1,665 | 2,346.326 | -681.326 | 197.843 | 23.80 | |
1,468 | 1,747.754 | -279.754 | 44.779 | 5.39 | |
19,185 | 19,185.002 | -.002 | 831.251 | 100.01 | |
(a) Show that it is appropriate to carry out a
chi-square test and calculate the value of the test statistic.
(Round your answers χ2 to 2 decimal places and χ2.05 to 3
decimal places.)
Each expected value is ≥
χ2χ2 | |
χ2.05χ.052 | |
(b) Test to determine whether the purchase
behavior of the panel of 2,500 households is consistent with the
purchase behavior of the population of all peanut butter
purchasers. Assume here that purchase decisions by panel members
are reasonably independent, and set α = .05.
(Click to select) Reject Do not reject H0. Conclude purchase behavior is (Click to select) not consistent consistent .
Answer: In the Journal of Marketing Research (November 1996), Gupta studied the extent to which the purchase behavior of scanner panels is representative of overall brand preferences.
Solution:
The given results from the table:
Each expected value is ≥ 5
Test statistic, χ2 = 831.25
At α = 0.05
df = (r-1)(c-1) = (7 - 1)(2 - 1) = 6
Critical value of χ2 at α = 0.05 and df = 6
Critical value of χ2 = 12.592
b) Test to determine whether the purchase behavior of the panel of 2,500 households is consistent with the purchase behavior of the population of all peanut butter purchasers. Assume here that purchase decisions by panel members are reasonably independent, and set
α = .05.
The hypothesis test:
Null hypothesis, Ho: The purchase behavior of the panel of 2,500 households is consistent with the purchase behavior of the population of all peanut butter purchasers.
Alternative hypothesis, Ha: The purchase behavior of the panel of 2,500 households is not consistent with the purchase behavior of the population of all peanut butter purchasers.
Since, test statistic χ2 (831.25) > Critical value of χ2 (12.592).
We reject the null hypothesis, Ho.
There is sufficient evidence to conclude that purchase behaviour is not consistent.