Therefore, we: can / cannot claim that the... A rent-to-own (RTO) agreement appe
ID: 3067042 • Letter: T
Question
Therefore, we: can / cannot claim that the...
A rent-to-own (RTO) agreement appeals to low-income and financially distressed consumers. It allows immediate access to merchandise, and by making all payments, the consumer acquires the merchandise. At the same time, goods can be returned at any point without penalty. Suppose a recent study documents that 65% of RTO contracts are returned, 30% are purchased, and the remaining 5% default. In order to test the validity of this claim, an RTO researcher looks at the transaction data of 420 RTO contracts, of which 283 are returned, 109 are purchased, and the rest defaulted. Use Table 3. a. Choose the appropriate alternative hypothesis to test whether the return, purchase, and default probabilities of RTO contracts differ from 0.65, 0.30, and 0.05, respectively OAt least one of the pi (i 1, 2, 3) differs from its hypothesized value. O All Pi (i = 1, 2, 3) values differ from its hypothesized value. b. Compute the value of the test statistic. (Round the intermediate calculations to at least 4 decimal places and final answer to 3 decimal places.) Test statistic c-1. Calculate the critical value at the 5% level of significance. (Round your answer to 3 decimal places.) Critical value c-2. Interpret the test results. (Click to select) Ho. Therefore, we Click to select) claim that the proportions of return, purchase, and default are different from 0.65, 0.30, and 0.05, respectivelyExplanation / Answer
Result:
a).
option1
At least one of the pj differ from its hypothesized value.
b).
Test statistic = 143.626
C1
Critical value = 5.991
C2.
Reject, we can claim that
Goodness of Fit Test
observed
expected
O - E
(O - E)² / E
420
527.800
-107.800
22.018
283
243.600
39.400
6.373
109
40.600
68.400
115.235
812
812.000
0.000
143.626
143.626
chi-square
2
df
0.0000
p-value
Goodness of Fit Test
observed
expected
O - E
(O - E)² / E
420
527.800
-107.800
22.018
283
243.600
39.400
6.373
109
40.600
68.400
115.235
812
812.000
0.000
143.626
143.626
chi-square
2
df
0.0000
p-value
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