The degrees of freedom in testing for differences between the means of two dependent populations where the variance of the differences is unknown are: df = n - 1
<h3>What is the degree of freedom for dependent variables?</h3>
In statistics, degrees of freedom refers to the number of distinct values that can change in an evaluation without exceeding any constraints.
The degree of freedom is crucial and necessary when attempting to comprehend the significance of a test statistic and the validity of the null hypothesis.
In testing for differences between the means of two dependent populations where the variance of the differences is unknown, the degrees of freedom are: df = n - 1
Learn more about calculating degrees of freedom for dependent variables here:
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You can solve the by dividing the change in y by the change in x. the answer should be D
Y=k/x
1.6=k/0.5
K=0.8
Y=0.8/x
3.2=0.8/x
X=0.8/3.2
X=0.25
Hope this helps
It will be 430 for this andwer ask me for more
The formula for the area is l • w
( length • width) 4•12= 48
