Question 1(1 point)

Is there a relationship between car purchases and political party? You make a tabulation of people who were asked about the origin of their primary car and their political party affiliation. To determine if Political Party and Car Origin are dependent, what are the appropriate hypotheses?

Question 1 options:

1)

H_O: Political Party and Car Origin are associated with one another.

H_A: Political Party and Car Origin are independent of each other.

2)

H_O: Political Party and Car Origin are not related to one another.

H_A: Political Party and Car Origin display a negative correlation.

3)

H_O: Political Party and Car Origin are independent of each other.

H_A: Political Party and Car Origin display a positive correlation.

4)

There is not enough information to choose the correct set of hypotheses.

5)

H_O: Political Party and Car Origin are independent of one another.

H_A: Political Party and Car Origin are dependent on each other.

Question 2(1 point)

Suppose Best Buy would like to know if the age of a customer affects the brand of digital camera he or she purchases to help design a new promotional campaign. The data will show the frequency with which people, categorized by their age groups, purchased various camera brands. To determine if Camera Brand and Age Group are dependent, what are the appropriate hypotheses?

Question 2 options:

1)

H_O: Camera Brand and Age Group are not related to one another.

H_A: Camera Brand and Age Group are dependent on each other.

2)

H_O: Camera Brand and Age Group are not related to one another.

H_A: Camera Brand and Age Group display a positive correlation.

3)

H_O: Camera Brand and Age Group are independent of one another.

H_A: Camera Brand and Age Group display a negative correlation.

4)

H_O: Camera Brand and Age Group are associated with one another.

H_A: Camera Brand and Age Group are not related to each other.

5)

There is not enough information to choose the correct set of hypotheses.

Question 3(1 point)

A marketing research firm wanted to determine whether an individual's favored Age Group and Social Network were related. For age they grouped by 18-34, 35-55, and 55+ and the social networks they investigated were Facebook, Google+, and Twitter. The table below presents their findings. To test at the 0.05 level to determine if Age Group and Social Network are dependent, calculate the chi-square test statistic and p-value. (See picture attachment)

Cross Tabulation of Age Group vs. Social Network Facebook Google+ Twitter 55+ 67 35 41 35-55 89 21 25 18-34 16 12 14Cross Tabulation of Political Party vs. Car Origin Foreign Domestic Democrat 70 19 Republican 61Cross Tabulation of Satisfaction vs. Gender Male Female Unknown Unhappy 11 45 23 Indifferent 52 28 9 Happy 21 18 28 Pearson Chi-square = 49.75 DF = 4 P-value = 0.0000