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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The graph is shown in figure below
The Solution Set is (-2,-3)
Step-by-step explanation:
We need to graph the equations and writ the solution.
For graphing we need to find the values of x and y.
For that, we need to solve the given equations:

Let:

We can solve this by using Substitution Method.
Putting value of y of eq(1) into eq(2) and finding value of x:

So, value of x = -2
Now put value of x in eq(1) to find value of y:

So, value of y = -3
Plotting on graph: x=-2 and y = -3
The graph is shown in figure below
The Solution Set is (-2,-3)
Keywords: graph the equations
Learn more about Graphing Equations at:
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The answer is really 1 5/6 because 5/6 + 2/3=5/6 NOT 7/3 so of course she is wrong
Answer:
$10, $10, $10, $15, $15, $20, $100, the central tendency is $15,
Step-by-step explanation:
Answer: the pic iznt working
Step-by-step explanation: