MATH 221 STATISTICS FOR DECISION MAKING WEEK 5 HOMEWORK / 2020
DeVry MATH 221 Week 5 Homework Answers (2020)
1. From a random sample of 58 businesses, it is found that the mean time the owner spends on administrative issues each week is 20.53 with a population standard deviation of 3.54. What is the 95% confidence interval for the amount of time spent on administrative issues?
2. If a confidence interval is given from 43.83 up to 61.97 and the mean is known to be 52.90, what is the margin of error?
3. If a computer manufacturer needed a supplier that could produce parts that were very precise, what characteristics would be better?
4. Which of the following are most likely to lead to a narrow confidence interval?
5. If you were designing a study that would benefit from a narrow range of data points, you would want the input variable to have:
6. The 95% confidence interval for these parts is 56.98 to 57.05 under normal operations. A systematic sample is taken from the manufacturing line to determine if the production process is still within acceptable levels. The mean of the sample is 57.04. What should be done about the production line?
7. In a sample of 41 temperature readings taken from the freezer of a restaurant, the mean is 29.7 degrees and the population standard deviation is 2.7 degrees. What would be the 80% confidence interval for the temperatures in the freezer?
8. What is the 99% confidence interval for a sample of 36 seat belts that have a mean length of 85.6 inches long and a population standard deviation of 2.5 inches?
9. If two samples A and B had the same mean and standard deviation, but sample A had a smaller sample size, which sample would have the wider 95% confidence interval?
10. Why might a company use a lower confidence interval, such as 80%, rather than a high confidence interval, such as 99%?
11. Determine the minimum sample size required when you want to be 95% confident that the sample mean is within two units of the population mean. Assume a population standard deviation of 3.8 in a normally distributed population.
12. Determine the minimum sample size required when you want to be 99% confident that the sample mean is within 0.25 units of the population mean. Assume a population standard deviation of 2.9 in a normally distributed population.
13. In a sample of 14 CEOs, they spent an average of 12.9 hours each week looking into new product opportunities with a sample standard deviation of 4.9 hours. Find the 95% confidence interval. Assume the times are normally distributed.
14. In a sample of 12 kids, their mean time on the internet on the phone was 3.9 hours with a sample standard deviation of 0.7 hours. Which distribution would be most appropriate to use?
15. Under a time crunch, you only have time to take a sample of 10 water bottles and measure their contents. The sample had a mean of 20.05 ounces with a sample standard deviation of 0.3 ounces. What would be the 90% confidence interval, when we assumed these measurements are normally distributed?
16. Say that a supplier claims they are 99% confident that their products will be in the interval of 50.02 to 50.38. You take samples and find that the 99% confidence interval of what they are sending is 50.00 to 50.36. What conclusion can be made?
17. Market research indicates that a new product has the potential to make the company an additional $1.6 million, with a standard deviation of $2.5 million. If these estimates were based on a sample of 12 customers from a normally distributed data set, what would be the 95% confidence interval?
18. In a sample of 28 cups of coffee at the local coffee shop, the temperatures were normally distributed with a mean of 162.5 degrees with a sample standard deviation of 14.1 degrees. What would be the 95% confidence interval for the temperature of your cup of coffee?
19. In a situation where the sample size from a normally distributed data set was decreased from 45 to 22, what would be the impact on the confidence interval?
20. You needed a supplier that could provide parts as close to 76.8 inches in length as possible. You receive four contracts, each with a promised level of accuracy in the parts supplied. Which of these four would you be most likely to accept?
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