In: Math
Question1
A market researcher wants to study TV viewing habits of residents in a particular area. A random sample 0f 70 respondents is selected. The results are as follows
Viewing time per week Mean=14 hours, S=3.8 hours
50 respondents watch the evening news on at least three week nights
(a) Construct a 90% confidence interval estimate for the mean amount of TV watched per week.
(b) Construct a 95% CI estimate of population proportion who watches evening news on at least three week nights.
Question 2
Following data gives the amount that a sample of 10 customers spent for lunch ($) at a fast food restaurant:
$8.50, $7, $5.80, $9, $5.60, $7.80, $6.50, $5.40, $7.50, $5.50
Construct a 95% confidence interval estimate for the population mean amount spent on lunch at the fast food restaurant.
Question 3
A cell phone provider has the business objective of wanting to estimate the proportion of subscribers who would upgrade to a new cell phone with improved features if it were made available at a substantially reduced cost. Data are collected from a random sample of 500 subscribers. The results indicated that 135 of the subscribers would upgrade to a new cell phone at a reduced cost. Construct a 95% confidence interval estimate for the population proportion of subscribers that would upgrade to a new cell phone at a reduced cost.
Question 4
You are the manager of a restaurant for a fast food. Last month the mean waiting time at the drive through window for branches in your region was 3.8 minutes. You select a random sample of 49 orders. The sample mean waiting time is 3.57 minutes, with a sample standard deviation of 0.8 minutes. At the .05 level of significance is there evidence that population mean waiting time is different from 3.8 minutes?
Question 1
a) Given Sample n =70
Mean=14 hours,
S=3.8 hours
90% confidence interval estimate for the mean amount of TV watched per week.
b) 95% CI estimate of population proportion who watches evening news on at least three week nights
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