Mathematics
Mathematics, 06.04.2021 04:30, abigailweeks10

A political analyst wanted to see whether there is an association between political affiliation and where a person lives. The analyst took a random sample of 1,250 people in a state and asked them which political party they were affiliated with and what county they lived in. The following are the hypotheses the analyst tested. H0: There is no association between party affiliation and the county in which a person lives.
Ha: There is an association between party affiliation and the county in which a person lives.
The chi-square test statistic and p-value of the hypothesis test were 19.78 and 0.003 respectively. Which of the following conclusions should be made about political affiliation and where a person lives?
A) There is convincing statistical evidence to suggest that political affiliation and where a person lives are independent.
B) There is convincing statistical evidence to suggest that political affiliation and where a person lives are dependent.
C) There is convincing statistical evidence to prove that political affiliation and where a person lives are dependent.
D) There is not convincing statistical evidence to suggest that political affiliation and where a person lives are independent.
E) There is not convincing statistical evidence to suggest that political affiliation and where a person lives are dependent.

answer
Answers: 1

Other questions on the subject: Mathematics

image
Mathematics, 20.06.2019 18:04, lerinmarie
hep the ratio of the weight of shawn's dog to the weight of andy's dog is 5: 7 shawn's cat weight 23kg approimately how much does andy's dog weigh
Answers: 1
image
Mathematics, 21.06.2019 21:30, ojbank4411
Tom can paint the fence in 12 hours, but if he works together with a friend they can finish the job in 8 hours. how long would it take for his friend to paint this fence alone?
Answers: 1
image
Mathematics, 21.06.2019 22:30, thelonewolf5020
Amachine that produces a special type of transistor (a component of computers) has a 2% defective rate. the production is considered a random process where each transistor is independent of the others. (a) what is the probability that the 10th transistor produced is the first with a defect? (b) what is the probability that the machine produces no defective transistors in a batch of 100? (c) on average, how many transistors would you expect to be produced before the first with a defect? what is the standard deviation? (d) another machine that also produces transistors has a 5% defective rate where each transistor is produced independent of the others. on average how many transistors would you expect to be produced with this machine before the first with a defect? what is the standard deviation? (e) based on your answers to parts (c) and (d), how does increasing the probability of an event a↵ect the mean and standard deviation of the wait time until success?
Answers: 3
image
Mathematics, 21.06.2019 23:00, lizbethmillanvazquez
Apackage of orgainc strwberries costs $1.50 while there in season and $2.25 when not in season what the percent increase
Answers: 1
Do you know the correct answer?
A political analyst wanted to see whether there is an association between political affiliation and...

Questions in other subjects:

Konu
Social Studies, 04.12.2019 13:31