Answer: There are 30 participants are needed for the entire study.
Step-by-step explanation:
Since we have given that
Number of levels of factor A = 2
Number of levels of factor B = 3
Number of participants in each treatment condition = 5
So, the number of participants are needed for the entire study is given by

Hence, there are 30 participants are needed for the entire study.
This might be wrong but, 320.
I used the formula for simple interest which is I=Prt, thus giving me this:
I = 1000 (.016) (20)
Hope this helps at all!
Answer:
Correlation does not imply causation
Step-by-step explanation:
Correlation is a statistical technique which shows how strongly a pair of variables are linearly related and change together.
Causation says that the change in one value will cause the other to change, making one variable dependent on the other.
Examples of correlation with causation are:
a) ice cream sales and summer temperatures
b) forest fires and summer temperatures
An example of correlation without causation is ice cream sales and forest fires. While they both increase as temperatures increase, ice cream sales are not CAUSING the forest fires.
From the information available it can be suggested that there is a correlation between sexual intercourse within a month prior to delivery as there is a higher number of fetus deaths to mothers who had sexual intercourse within a month prior to delivery. However, there is no information which shows the sexual intercourse caused the deaths. Additionally, 89% of the mothers of fetuses who died DID NOT have sexual intercourse within a month prior to delivery, thus even the correlation is weak in this case.
You must add <u>7 scoops </u>to the truck.
<h3>
EXPLANATION</h3>
14 - 3.5 = 10.5 tons needed
10.5 ÷ 1.5 = <u>7 scoops needed</u>