Rickie played eight rounds of miniature golf in June and eight rounds of miniature golf in July. He recorded his score for each round. Rickie’s mother asked him if his scores varied more in June or July. Rickie claims that a measure of center will answer his mother’s question. Is Rickie’s claim correct?

The measure of variability should be used.

Step-by-step explanation:

It is provided that Rickie played eight rounds of miniature golf in June and eight rounds of miniature golf in July. He recorded the cores for each round.

Now to determine in which month Rickie's score varied the most the measure of variability would be used and not measure of center.

This is because:

The Measures of Central tendency is a distinct value that describe a data set by recognizing the central location within that data set. The measures of central tendency are every so often are known as measures of central location. They are also known as summary statistics.

Whereas the measure of variability is used to determine the amount of variability in the data set. They represent how far the observations are from the center of the data set.

Thus, to answer his mother's question, the measure of variability should be used.

150.6

all i did was i multiplied 5.02 by 30

answer: it actually depends on which is the independent variable and which is the dependent variable. let us say we're looking at a linear equation. y=2x+3. we theoretically could switch the equation to be x=(y-3)/2 and it would be the same line. so either a causes b or it can be that b causes a. so technically the answer is false

step-by-step explanation: