The distribution shape that tells us for which it is best to use the mean is the skewed.
<h3>What is the mean?</h3>
This is the term that is used to refer to the average score that exists in a data set.
In the question, these are the reasons why the other options are not correct
When we say Bimodal we are talking about the 2 modes that are in a symmetric distribution. This has nothing to do with the mean
The bell shape has to do with how the normal distribution is when it is drawn. It would create a bell shape hence the mean is not useful.
symmetric has to do with the fact that there are mirror images when the vertical line is drawn in the distribution.
Uniformed shapes tells us that the classes are made up of the same frequency all through.
The skewed shape is what tells us if the median is more or if it is less.
Hence we have the answer that the distribution shapes for which it is most often appropriate to use the mean is the skewed.
Read more on the mean here
brainly.com/question/17847237
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Answer: B.16
Step-by-step explanation:
(s - 2) × 180 = 2520
s- 2 = 14
s = 16
answer
B. 16
Step-by-step explanation:
- L j is a median
- kj = jM
- 2X +4 = 24 → 1
- 2 X = 20
- X = 10 → 2
- KM = 2 kj = 2x 24 = 48 _→3
Answer:
6
Step-by-step explanation:
