Researchers question whether there is a relationship between employment status (employed full-time, employed part-time, unemployed) and highest level of education attained (some high school, graduated high school, some college, graduated college). Which of the following is the most appropriate statistical test to use to determine if employment status is related to education level?
a) Inference for regression
b) Matched pairs t-test
c) Chi-squared test for independence
d) Two-sample t-test
e) ANOVA

c) Chi-squared test for independence

Step-by-step explanation:

Chi-square test of Independence: In statistics, the term "chi-square test for independence" is being described as a phenomenon that is being utilized to determine whether or not a significant relationship exists between two different categorical or nominal variables. Therefore, the frequency of a single category associated with one nominal variable is being compared with the categories associated with the second or the other nominal variable.

In the question above, the given statement represents "chi-squared test for independence".

practice. practice. practice.

c. y = 1/4 x + 5

step-by-step explanation:

first, put the equation of the line on the graph into slope-intercept form

(y = mx + b):   y = -4x + 8

second, a perpendicular line has to have "an opposite/reciprocal slope" to the original slope. so, find the "m" value in your original equation (it's -4, right? )

original slope: m = -4   perpendicular slope: change the sign to its opposite and find the reciprocal ("flip" the number)

new slope is now positive (b/c the original slope was negative 4), and it's 1/4 (not the original slope of 4 or 4/1)