Check the conditions for constructing a confidence interval for the difference in proportions.
met✔ not metdoes not apply
met✔ not metdoes not apply
Yes✔ NoNot enough information
is notmay be✔ is
Check the conditions for constructing a confidence interval for the difference in proportions.
Random condition: met 10% condition: met Large Counts condition: met All conditions for inference are met.Random condition: not met 10% condition: met Large Counts condition: met All conditions for inference are not metRandom condition: met 10% condition: does not apply Large Counts condition: met All conditions for inference are met.Random condition: met 10% condition: met Large Counts condition: not met All conditions for inference are not met.
Construct a 90% confidence interval to estimate the true difference in proportions pC – pD of caffeinated customers who order larges versus decaf customers who order larges.
Construct a 99% confidence interval to estimate the true difference in the proportion of “big” bank customers who bank with more than one bank as compared with the “small” customers who bank with more than one bank.
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.
Researchers want to test a new hand exercise plan for arthritis patients to see if they have improved flexibility. They recruited 110 patients with arthritis in their hands and randomly assigned them to one of two treatment groups: group 1 took their regular medicine and did the new hand exercises; and group 2 only took medicine. After one month, 42 of the 55 in group 1 improved in their flexibility, and 37 of the 55 in group 2 improved their flexibility.
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.
✔ does not applymetnot met
We are 90% sure✔ We are 90% confidentWe are 90% certainThere’s a 90% probability
1.9602✔ 2.576
✔ 00.320.90
✔ isis not
is✔ is not
does not apply✔ metnot met
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