- The distribution is skewed left.
- The median is an accurate measure of center.
- The interquartile range is an accurate measure of spread.
<h3>How to find the Distribution of data?</h3>
Probability plots might be the best way to determine whether your data follow a particular distribution. If your data follow the straight line on the graph, the distribution fits your data. This process is simple to do visually. Informally, this process is called the “fat pencil” test.
For skewed distributions, it is quite common to have one tail of the distribution considerably longer or drawn out relative to the other tail.
As, it is known that, when the distribution of data is left-skewed, the mean is less than median.
- In any research of distribution, the distribution is described by its shape. If there are more higher values than lower values, the distribution is skewed left.
- The distribution can be described by its center. If the distribution is skewed left or right, the median is an accurate measure of center.
- The distribution can be described by its spread. If the data set does not have an outlier, the interquartile range is an accurate measure of spread.
Learn more about distribution of data here:
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(3x - 2)²
= (3x - 2) (3x - 2) use distributive property or FOIL
= 3x(3x) + 3x(-2) - 2(3x) - 2(-2)
= 9x² - 6x - 6x + 4 combine like terms
= 9x² - 12x + 4
" the quotient " is the result of division
(5/13) / (15/23)...when dividing fractions, flip what u r dividing by, then multiply
5/13 * 23/15 = 115/195 reduces to 23/39 <==
Answer:
3/4(-10+2+2/5)
answer -5.7
Step-by-step explanation:
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Answer:
Step-by-step explanation:
<em>We use the rule 
to first simplify this:</em>
<em>Now we use the rule 
we simplify further and find the answer:</em>
The third answer choice is right.
