The Mean Absolute Deviation is commonly known as MAD. The correct statement about the situation is D.
<h3>What is the Mean Absolute Deviation?</h3>
The Mean Absolute Deviation, commonly known as MAD is the average of the difference between the mean and the data points, it can also be referred to as the average of the deviations of the data points from the mean.
Given Two months ago, the mean daily rainfall in a local city was 9.4 cm. The mean absolute deviation was 3.5 cm. Last month, the mean daily rainfall in that city was 11.5 cm, and the mean absolute deviation was 1.6 cm.
As it is known that more MAD for data points means more deviation of the data points from the mean, while it is vice versa if it is less. Therefore, we can conclude Last month, the amount of rain that fell each day varied less than the month before.
Hence, the correct statement about the situation is D.
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Answer:
The expression used to find the change in temperature per hour is Algebraic expression
Thus per hour; the temperature falls at the rate of 
Step-by-step explanation:
A temperature falls from 0 to 
in 
Which expression finds the change in temperature per hour.
From the above given information;
The initial temperature is 0
The final temperature is
The change in temperature is 
Thus;
-12.25 ° = 3.5 hours
To find the change in x° per hour; we have;
x° = 1 hour
The expression used to find the change in temperature per hour is Algebraic expression
From above if we cross multiply ; we have;
(- 12.25° × 1 hour) = (x° × 3.5 hour)
Divide both sides by 3.5 hours; we have:
x° = - 3.5
x° = 
Thus per hour; the temperature falls at the rate of
Answer:
6
Step-by-step explanation:
6
Answer:B. The equation represents a linear function because the equation has two variables, x and y.
Step-by-step explanation:
Answer:
No, because the largest standard deviation is more than twice the smallest standard deviation.
Step-by-step explanation:
Okay, so the standard deviation for each of the sample is given as;
NHES II study = 2.486, NHANES II study = 2.408 and NHANES study = 5.851.
In order to determine whether the standard deviations satisfy the guidelines for the use of ANOVA, one of the conditions for anova for sample standard deviations must be considered that is;
'' the value of the sample standard deviations should not be times two of the smallest standard deviation."
In which if we have; highest sample standard deviations / smallest standard deviation < 2, Then, population variance is equal.
