Answer:
−7⋅(−3)⋅(−5)⋅(−8)
Step-by-step explanation:
Answer:
4| 7
5| 2 7 8 8
6| 1 6 6 8 8
7| 0 2 2 3 3 5 6 7
8| 4 4 4 5 6 6 7 9
9| 0 1 1 2 3 7
And with the notation 4|7 represent 47
Step-by-step explanation:
For this case we have the following dataset given:
58 52 68 86 72 66 97 89 84 91 91 92 66 68 87 86 73 61 70 75 72 73 85 84 90 57 77 76 84 93 58 47
And if we order the dataset in increasing way we got:
47 52 57 58 58 61 66 66 68 68 70 72 72 73 73 75 76 77 84 84 84 85 86 86 87 89 90 91 91 92 93 97
And if we create the stem plot we got:
4| 7
5| 2 7 8 8
6| 1 6 6 8 8
7| 0 2 2 3 3 5 6 7
8| 4 4 4 5 6 6 7 9
9| 0 1 1 2 3 7
And with the notation 4|7 represent 47
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:4
Step-by-step explanation:
63+74+x=180
180-63-74=43
x=43
