Answer:
Step-by-step explanation:
Let's start with this. When do you think the mean would NOT be an appropriate measure of center? Well, maybe your data points are 1,2,4,1,5,3, 1,000,000. If you took the mean of that it wouldn't be anywhere near any of the numbers, and would just be in between two. So not in the center at all.
The point is you want your data set well balanced. You want about an equal number on one side as the other. So let's look at yours.
The furthest away from the middle has 11 on the left side and 12 on the right. If youw ere weighing them on a scale and took the 11 and 12 as the weight, they would be pretty close to equal. The next two are 21 and 23. Less close, but still only two away. The middle is the middle, so nothing to balance it out with. If you look at it as a whole, the right side is 3 more than the left. I would say 3 is still pretty close when you are looking at "weights" above 10. So I would say mean is a pretty appropriate measure of center.
Stats takes a lot of "gut feelings" like this. Thinking, "yeah, these are pretty close" so you'll get the hang of it pretty soon.
Answer: 1 2/3
Step-by-step explanation:
The expression to find the perimeter of a rectangle is 2(length + width)
Length = 1/3
Width = 1/2
Perimeter = 2( 1/3 + 1/2)
Lowest common factor = 6
Perimeter = 2 [ (2 + 3) / 6]
Perimeter = 2 [ 5/6]
Perimeter = 10/6
Perimeter = 1 4/6 = 1 2/3
Answer:
1. 3
2. 1
3. 2
4. 4
Step-by-step explanation:
The mean could be used to describe a data set by itself, while interquartile range would almost never be used to describe a data set by itself.
<h3>What is Descriptive statistics?</h3>
These are operations which are used to summarize certain characteristics a set of data has.
Mean and range deals with the full set of data while interquartile range measures just the middle half of the data and is denoted as option A.
Read more about Descriptive statistics here brainly.com/question/6990681
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