In: Statistics and Probability
a)1.96
b)1.65
c)2.58
d)1.75
2. A random sample of 90 days at a coffee shop produces a mean daily sales of $1200. The standard deviation of the population of daily sales is $210. What is the 99% confidence interval for the mean of the population of daily sales?
a)$1200 ± $6
b)$1200 ± $43
c)$1200 ± $57
d)$1200 ± $5
3. The mean daily sales for a book store were $700 over the last 20 days with a sample standard deviation of $75. What is the 95% confidence interval?
a)$700 ± $43
b)$700 ± $35
c)$700 ± $12
d)$700 ± $33
4. An economist wants to estimate the proportion of Canadians who own their homes. A random sample of 800 people reveals 544 own their homes. Develop a 95% confidence interval for the population proportion.
a)0.68 ± 0.053
b)0.68 ± 0.032
c)0.32 ± 0.032
d)0.68 ± 0.027
5. A pilot study shows that 64% of people living in the downtown core are single. A market research company wants to verify this claim. The company requires a 95% confidence interval. How many residents should be interviewed to keep the margin of error within 0.02 of the population proportion?
a)23
b)9604
c)2213
d)6147
6. The mean daily sales for a bookstore were $700 over the last 60 days. The standard deviation of this population is $85. What is the 95% confidence interval?
a)$700 ± $2.78
b)$700 ± $21.51
c)$700 ± $28.31
d)$700 ± $3.66
7. A random sample of 300 drivers revealed that 96 of them had received a speeding ticket in the last 3 months. Construct a 95% confidence interval for the number of drivers who receive speeding tickets over a three-month period.
a)0.32 ± 0.027
b)0.32 ± 0.001
c)0.32 ± 0.069
d)0.32 ± 0.053
8. A survey is being planned to determine the mean amount of time children under 6 spend watching TV. A pilot survey indicated the mean time was 22 hours per week with a standard deviation of 3 hours. The mean viewing time is to be estimated within 0.5 hours. How many children must be studied to obtain a 95% confidence interval?
a)139
b)12
c)7438
d)87