Data Description

Data for a survey was collected from over 100 adults to capture their attitudes about buying a new TV. To begin, survey participants were asked whether they were in the market for a new TV and the importance of various television attributes. Then, participants viewed 1 of 2 potential new advertisements for a TV, evaluated the ad, and were asked how likely they are to buy the tv after viewing the ad. To conclude, participants completed demographic items.

Below is a description of each survey item.

NewTV participants were asked whether they are currently shopping for a new TV (0 no, 1 yes)

TVShop how many times participants have looked at TVs when shopping in the past month

TVDay number of hours each day the participant watches TV

ThreeDImp how important 3D viewing capabilities is in a new TV (1 not at all; 7 very much)

ScreenSizeImp how important screen size is in a new TV (1 not at all; 7 very much)

BrandImp how important brand name is in a new TV (1 not at all; 7 very much)

PicQualityImp how important picture quality is in a new TV (1 not at all; 7 very much)

AdView indicates whether study participants viewed version 1 or 2 of a new potential advertisement for a TV

AdAtt measures attitudes toward the new potential TV advertisement (1 very negative; 7 very positive)

Gender male (1) or female (2)

Age age, in years

Employment measures whether the participant works full time (1), part time (2), or is currently unemployed (0)

ShopLater a follow-up question one month later asking participants how many times they have looked at TVs in the month after the survey

Please answer all questions listed below.

Question:

a. (1 point) Whats the correlation between peoples TV shopping frequency (how many times people looked at TVs) in the month after completing the survey and the TV shopping frequency in the month before completing the survey?

b. (2 points) In the month after completing the survey, did peoples TV shopping frequency change compared to the month before? Please state your null and alternative hypothesis. Specify what kind of hypothesis testing you want to do. Report the hypothesis testing results. Draw a conclusion based on the results.

Question:

(2 points) Are there any differences in the importance of screen size in a new television among unemployed, full time, and part time workers? Please state your null and alternative hypothesis. Specify what kind of hypothesis testing you want to do. Report the hypothesis testing results. Draw a conclusion based on the results.

Question:

a. (1 point) Whats the average attitude toward the potential TV advertisement for those who watched version 1?

b. (1 point) Whats the median attitude toward the potential TV advertisement for those who watched version 2?

c. (2 points) Are there any differences in attitudes toward the potential TV advertisement based on what version of the ad was viewed? Please state your null and alternative hypothesis. Specify what kind of hypothesis testing you want to do. Report the hypothesis testing results. Draw a conclusion based on the results.

Question:

a. (1 point) What percentage of male are shopping for a new television?

b. (1 point) What percentage of female are not shopping for a new television?

c. (2 points) Are there gender differences in whether the participant is currently shopping for a television? Please state your null and alternative hypothesis. Specify what kind of hypothesis testing you want to do. Report the hypothesis testing results. Draw a conclusion based on the results.

Question:

(2 points) Does the importance of picture differ between people with above-average TV watching hour and people with below-average TV watching hour? Please state your null and alternative hypothesis. Specify what kind of hypothesis testing you want to do. Report the hypothesis testing results. Draw a conclusion based on the results.

Tip: please keep 2 decimal places when you calculate the average TV watching hour.