In , the industries with the most complaints to the Better Business Bureau were banks, cable and satellite television companies, collection agencies, cellular phone providers, and new car dealerships (USA Today, April 16, 2012). The results for a sample of complaints are contained in the DATAfile named BBB.
Category |
Observed Frequency |
Bank | 26 |
Cable | 44 |
Car | 42 |
Cell | 60 |
Collection | 28 |
Total | 200 |
b. Using , conduct a hypothesis test to determine if the probability of a complaint is the same for the five industries. The test-statistic is? (to 2 decimals). p-value? (to 4 decimals) What is your conclusion?
c. Which industry has the most complaints? Dropping the industry with the most complaints using , conduct a hypothesis test to determine if the probability of a complaint is the same for the remaining four industries. The test-statistic is? (to 2 decimals). P-value? (to 4 decimals) What is your conclusion?
Category | Observed Frequency (O) | Proportion, p | Expected Frequency (E) | (O-E)²/E |
Bank | 26 | 0.2 | 200 * 0.2 = 40 | (26 - 40)²/40 = 4.9 |
Cable | 44 | 0.2 | 200 * 0.2 = 40 | (44 - 40)²/40 = 0.4 |
Car | 42 | 0.2 | 200 * 0.2 = 40 | (42 - 40)²/40 = 0.1 |
Cell | 60 | 0.2 | 200 * 0.2 = 40 | (60 - 40)²/40 = 10 |
Collection | 28 | 0.2 | 200 * 0.2 = 40 | (28 - 40)²/40 = 3.6 |
Total | 200 | 1.00 | 200 | 19 |
b)
Test statistic:
χ² = ∑ ((O-E)²/E) = 19
df = n-1 = 4
p-value = CHISQ.DIST.RT(19, 4) = 0.0008
Decision:
p-value < α, Reject the null hypothesis
c) The industry with the most complaints: Cell
Category | Observed Frequency (O) | Proportion, p | Expected Frequency (E) | (O-E)²/E |
Bank | 26 | 0.25 | 140 * 0.25 = 35 | (26 - 35)²/35 = 2.3143 |
Cable | 44 | 0.25 | 140 * 0.25 = 35 | (44 - 35)²/35 = 2.3143 |
Car | 42 | 0.25 | 140 * 0.25 = 35 | (42 - 35)²/35 = 1.4 |
Collection | 28 | 0.25 | 140 * 0.25 = 35 | (28 - 35)²/35 = 1.4 |
Total | 140 | 1.00 | 140 | 7.43 |
Test statistic:
χ² = ∑ ((O-E)²/E) = 7.43
df = n-1 = 3
p-value = CHISQ.DIST.RT(7.4286, 3) = 0.0594
Decision:
p-value > α, Do not reject the null hypothesis.
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