The pearson's coefficient of skewness is found as the 1.065.
<h3>What is termed as the coefficient of skewness?</h3>
- The coefficient of skewness is a measurement used to evaluate the strength and direction of skewness in a sample distribution using descriptive statistics such as mean, median, or mode.
- The skewness coefficient is used to compare a distribution of the sample to a normal distribution.
Pearson skewness:
The skewness of the a data set is calculated by subtracting the mean from the median and dividing by the standard deviation.
In this case:
The mean is 95, the median is 77, as well as the standard deviation is 16.9. So,
Pearson skewness = (95 - 77)/16.9
Pearson skewness = 1.065.
Thus, the pearson's coefficient of skewness is found as the 1.065.
To know more about the coefficient of skewness, here
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You would do 2x+1=x-3 minus x from one side then follow the regular equation
Answer:
117000000000
Step-by-step explanation:
117000000000
=1.17^11
or 1.17e+11
Washington had 143 hits and Sanchez has 107 hits
Answer:
a=1
Step-by-step explanation:
- 7 (3a - 4) + 7a = 14
use distribute property
-21a+28+7a=14
simplify
-14a=14-28
-14a=-14
a=1
