Check the conditions for constructing a confidence interval for the difference in proportions. Random condition: 10% condition: Large Counts condition: Are all the conditions for inference met?
✔ does not applymetnot met
does not apply✔ metnot met
✔ YesNoNot enough information
Check the conditions for constructing a confidence interval for the difference in proportions. Random condition: 10% condition: Large Counts condition: Are all the conditions for inference met?
met✔ not metdoes not apply
met✔ not metdoes not apply
Yes✔ NoNot enough information
A well-known coffee shop wants to estimate the difference in the proportion of caffeinated-coffee customers who order a large drink as compared with decaf-coffee customers who order a large. In a random sample of 500 caffeinated-coffee customers, 37% ordered larges. In a random sample of 370 decaf-coffee customers, 27% ordered larges. Based on the 90% confidence interval (0.048, 0.152), is there convincing evidence of a difference between the population proportions of caffeinated customers who order larges versus decaf customers who order larges? . Because contained in the interval, there is to believe there a difference in the proportions of caffeinated customers who order larges versus decaf customers who order larges.
✔ 00.320.90
is✔ is notmay be
✔ convincing evidencenot enough evidenceplausible evidence
✔ isis not
convincing evidence✔ not enough evidence
✔ is is not
A bank wants to estimate the difference in the proportion of its "big" customers who have a second account with a different bank and the proportion of its "small" customers who also have an account with another bank. Of the 200 “big” customers who were randomly selected, 160 claimed to also bank with other banks. Of the 300 “small” customers who were randomly selected, 120 claimed to also bank with other banks.
is✔ is not
not enough evidence✔ convincing evidence
✔ is is not
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