Answer:
i will give it to you
Step-by-step explanation:
that's it for you dear
The ratio of the difference of the two means to Sidney’s mean absolute deviation is; 4/3.28
<h3>How to find the Mean Absolute Deviation?</h3>
From the given table, we see that;
Mean grade of Sidney = 82
Mean grade of Phil = 78.
Mean absolute deviation of Sidney = 3.28
Mean absolute deviation of Phil = 3.96.
The difference between the two means of Sidney and Phil = 82 - 78 = 4.
Thus, the ratio of the difference of the two means to Sidney’s mean absolute deviation is; 4/3.28
Complete Question is;
The means and mean absolute deviations of Sidney’s and Phil’s grades are shown in the table below. Means and Mean Absolute Deviations of Sidney’s and Phil’s Grades Sidney Phil Mean 82 78 Mean Absolute Deviation 3.28 3.96 Which expression represents the ratio of the difference of the two means to Sidney’s mean absolute deviation?
Read more about Mean Absolute Deviation at; brainly.com/question/447169
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The table shows a linear function. x -5,-4,-3,-2,-1, 0, 1, 2, 3. on top row f(x) -11, -3, 5, 13, 21, 29, 37, 45, 53. on bottom r
NARA [144]
Wouldn’t the inputs be 4 and 5? I could wrong though
An error was made, correlation values can't be greater than 1.00.
The strength of the linear association between two variables is quantified by the correlation coefficient. The correlation coefficient always takes a value between -1 and 1. The 1 represents the perfect positive correlation and -1 represents the perfect negative correlation whereas the 0 represents the no correlation between two variables.
So, if the value of the correlation coefficient between shoe size and IQ is r = +1.99 then,
Analysts in some fields do not consider a correlation significant until the value is at least 0.8. However, a correlation coefficient with an absolute value of 0.9 or greater indicates a very strong relationship. 2.
Learn more about correlation values here: brainly.com/question/4219149
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