Answer:
a)
The sample is 60 rewards members for the makeup company
b)
Appropriate population is the entire members of the makeup company
c)
(Email showing new products or emails showing products that were on sale) are the predictor variables and its categorical
d)
the recipient clicked through to the website or not; is the response variable and its also categorical
Step-by-step explanation:
Given the data in the question;
a) What is the sample?
The sample is 60 rewards members for the makeup company
b) What would be an appropriate population to draw inference to based on this sample?
Appropriate population is the entire members of the makeup company.
c) What is the predictor variable? Is it quantitative or categorical?
The predictor variable is type of emails i.e (email showing new products or emails showing products that were on sale).
This categorical.
d) What is the response variable? Is it quantitative or categorical?
The response variable is; the recipient clicked through to the website or not.
This is also categorical.
Answer:
Step-by-step explanation:
The first step is usually to isolate the x term. You have -4x - ⅖ on the lefthand side of the equation. You want to remove the -⅖ so the -4x is alone.
Add ⅖ to both sides:
-4x > ⅖ + 5/10
X^3 = 1/8
x^3 = (1/2)^3
x = 1/2
hope it helps
