1) Determine if you should use a confidence interval for the mean or a confidence interval for proportions for each variable:

a.The number of hot dogs eaten in a day

b.The percentage of cancer patients who recover after treatment

c.The micrograms of cholesterol in a person’s blood stream

d.The percentage of defective products in a shipment.

Must show all work

study of the accuracy of fast food drive through orders, Restaurant A had 339 accurate orders and 57 that were not accurate. construct a 90% confidence interval estimate of the percentage of orders not accurate. compare the results from part (a) to the 90% confidence interval for the percentage of orders that are not accurate at Restaurant B: 0.134<p<0.184. what do you conclude?

Bond J has a coupon rate of 3 percent and Bond K has a coupon rate of 9 percent. Both bonds have 13 years to maturity, make semiannual payments, and have a YTM of 6 percent

If rates suddenly fall by 2%

What is the percentage change in price of bond J and what is the percentage change in price of bond K ??

A sample of 1600 computer chips revealed that 50% of the chips do not fail in the first 1000 hours of their use. The company's promotional literature states that 53% of the chips do not fail in the first 1000 hours of their use. The quality control manager wants to test the claim that the actual percentage that do not fail is different from the stated percentage. State the null and alternative hypotheses.

In a survey of 356 randomly selected gun owners, it was found that 82 of them said they owned a gun primarily for protection.

Find the margin of error and 95% confidence interval for the percentage of all gun owners who would say that they own a gun primarily for protection. Round all answers to 3 decimal places.

Margin of Error (as a percentage): %
Confidence Interval: % to %

A certain manufactured product is supposed to contain 23% potassium by weight. A sample of 10 specimens of this product had an average percentage of 23.2 with a standard deviation of 0.2. If the mean percentage is found to differ from 23, the manufacturing process will be recalibrated.

a) State the appropriate null and alternate hypotheses.

b) Compute the P-value.

c) Should the process be recalibrated? Explain.

please provide an example:

5. Bad Debts; a. Estimating allowance for bad debts under both the percentage of sales and the percentage of assets method (aging of receivables)

b. Determining the ending balance in both Accounts Receivable and Allowance for Doubtful Accounts when given beginning balance in the two accounts and activity for the year.

c. Same as (b) but for Bad Debt Expense

In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 224 accurate orders and 60 that were not accurate. a. Construct a 95​% confidence interval estimate of the percentage of orders that are not accurate. b. Compare the results from part​ (a) to this 95​% confidence interval for the percentage of orders that are not accurate at Restaurant​ B: 0.189 < p < 0.289. What do you​ conclude?

In a study of the accuracy of fast food​ drive-through orders, Restaurant A had 217 accurate orders and 58 that were not accurate. a. Construct a 95​% confidence interval estimate of the percentage of orders that are not accurate. b. Compare the results from part​ (a) to this 95​% confidence interval for the percentage of orders that are not accurate at Restaurant​ B: 0.195<p< 0.281. What do you​ conclude?

In a study of the accuracy of fast food drive-through orders, Restaurant A had 266 accurate orders and 63 that were not accurate.

a. Construct a 90% confidences interval estimate of the percentage of orders that are not accurate.

b. Compare the results from part (a) to this 90% confidence interval for the percentage of orders that are not accurate at Restaurant B: .0179<p<.0.249. What do you conclude?