A chi-square test of independence was conducted to investigate whether there is an association between the location where a pers
on lives in a city (north, south, east, or west) and who the person planned to vote for in the upcoming mayoral election (the incumbent or the challenger). A random sample of 100 potential voters was selected, and the hypothesis test had a chi-square test statistic of x^2=9.84 with a p-value of 0.02. Which of the following statements is the correct interpretation of the pp-value in context? a. There is a 2 percent chance that where a person lives and who that person plans to vote for are independent.
b. There is a 2 percent chance that where a person lives and who that person plans to vote for are dependent.
c. There is a 2 percent chance of making a Type IIII error.
d. Assuming that the location of where a person lives and who that person plans to vote for are dependent, there is a 2 percent chance of finding a test statistic that is 9.84 or greater.
e. Assuming that the location of where a person lives and who that person plans to vote for are independent, there is a 2 percent chance of finding a test statistic that is 9.84 or greater.
The Chi-Square Independence Test determines if the variables or linked among measurement items factors. It test is indeed not symmetric. It is also known as Interaction Chi-Square Test. Therefore it is also a 2% likelihood of obtaining a test statistic which is 9.84 or higher unless the place where a person is living, but for whom each plans to vote is different.
Make sure you subtract any rests or stops you made from the total trip duration. If the total distance travelled was 500 miles and the time it took you was 5 hours, then your average speed was 500 / 5 = 100 miles per hour (mph).
