2. Suppose a market analyst wants to determine the difference in the average price of a gallon of whole milk in Seattle and Atlanta. To do so, he takes a telephone survey of 21 randomly selected consumers in Seattle who have purchased a gallon of milk and asks how much they paid for it. The analyst undertakes a similar survey in Atlanta with 18 respondents. Assume the population variance for Seattle is 0.03, the population variance for Atlanta is 0.015, and that the price of milk is normally distributed. Using the resulting sample information that follows, Compute a 99% confidence interval to estimate the difference in the mean price of a gallon of milk between the two cities. b. a. Using a 1% level of significance, test to determine if there is a significant difference in the price of a gallon of milk between the two cities. SEATTLE ATLANTA $2.55 $2.36 $2.43 $2.25 $2.40 $2.39 2.67 2.54 2,43 2.30 2.33 2.40 2.50 2.54 2.38 2.49 2.29 2.23 2.61 2.80 2.49 2.41 2.48 2.29 2.43 2.61 2.57 2.39 2.59 2.53 2.36 2.56 2.71 2.26 2.38 2.45 2.50 2.64 2.27

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Pls help me answer number 2

Answer the following: Include your solutions.
1. Use the following information to construct the confidence intervals specified to estimate u.
a. 98% confidence for x 30, o= 3,5, and n =65
b. 95% confidence for x= 119.7, o= 23.89, and n =70
2. Suppose a market analyst wants to determine the difference in the average price of a gallon of
whole milk in Seattle and Atlanta. To do so, he takes a telephone survey of 21 randomly selected
consumers in Seattle who have purchased a gallon of milk and asks how much they paid for it.
The analyst undertakes a similar survey in Atlanta with 18 respondents. Assume the population
variance for Seattle is 0.03, the population variance for Atlanta is 0.015, and that the price of
milk is normally distributed. Using the resulting sample information that follows,
Compute a 99% confidence interval to estimate the difference in the mean price of a
gallon of milk between the two cities.
b.
a.
Using a 1% level of significance, test to determine if there is a significant difference in
the price of a gallon of milk between the two cities.
SEATTLE
ATLANTA
$2.55 $2.36 $2.43 $2.25 $2.40 $2.39
2.67
2.54
2.43
2.30
2.33
2.40
2.50
2.54
2.38
2.49
2.29
2.23
2.61
2,80
2.49
2.41
2.48
2.29
2.43
2.61
2.57
2.39
2.59
2.53
2.36
2.56
2.71
2.26
2.38
2.45
2.50
2.64
2.27
3. Is there a difference in the family demographics of people who stay at motels? Suppose a
study is conducted in which three categories of motels are used: economy motels, modestly
priced chain motels, and exclusive motels. One of the dependent variables studied might be the
number of children in the family of the person staying in the motel. Name three other dependent
variables that might be used in this study.
Transcribed Image Text:Answer the following: Include your solutions. 1. Use the following information to construct the confidence intervals specified to estimate u. a. 98% confidence for x 30, o= 3,5, and n =65 b. 95% confidence for x= 119.7, o= 23.89, and n =70 2. Suppose a market analyst wants to determine the difference in the average price of a gallon of whole milk in Seattle and Atlanta. To do so, he takes a telephone survey of 21 randomly selected consumers in Seattle who have purchased a gallon of milk and asks how much they paid for it. The analyst undertakes a similar survey in Atlanta with 18 respondents. Assume the population variance for Seattle is 0.03, the population variance for Atlanta is 0.015, and that the price of milk is normally distributed. Using the resulting sample information that follows, Compute a 99% confidence interval to estimate the difference in the mean price of a gallon of milk between the two cities. b. a. Using a 1% level of significance, test to determine if there is a significant difference in the price of a gallon of milk between the two cities. SEATTLE ATLANTA $2.55 $2.36 $2.43 $2.25 $2.40 $2.39 2.67 2.54 2.43 2.30 2.33 2.40 2.50 2.54 2.38 2.49 2.29 2.23 2.61 2,80 2.49 2.41 2.48 2.29 2.43 2.61 2.57 2.39 2.59 2.53 2.36 2.56 2.71 2.26 2.38 2.45 2.50 2.64 2.27 3. Is there a difference in the family demographics of people who stay at motels? Suppose a study is conducted in which three categories of motels are used: economy motels, modestly priced chain motels, and exclusive motels. One of the dependent variables studied might be the number of children in the family of the person staying in the motel. Name three other dependent variables that might be used in this study.
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