x + y = 15 and 5x + 10y = 100 are the system of equations that represent this situation
<em><u>Solution:</u></em>
Let "x" be the number of multiple choice questions
Let "y" be the number of short answer questions
Worth of 1 multiple choice questions = 5 points
Worth of 1 short answer question = 10 points
<em><u>Ms. Lee wrote a test with 15 multiple choice short answer questions</u></em>
Therefore,
number of multiple choice questions + number of short answer questions = 15
x + y = 15 -------- eqn 1
<em><u>The maximum number of points possible on the test is 100</u></em>
Therefore, we frame a equation as:
number of multiple choice questions x Worth of 1 multiple choice questions + number of short answer questions x Worth of 1 short answer question = 100

5x + 10y = 100 ------- eqn 2
Thus eqn 1 and eqn 2 are the system of equations that represent this situation
Answer:
-7
Step-by-step explanation:
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Answer:
shhdhd
Step-by-step explanation:
Oh wow great marks
Answer:
And 
The difference is that MSA takes incount the variation between the groups and the grand mean, and the MSW takes in count the variation within groups respect to the mean of each group
.
Step-by-step explanation:
Analysis of variance (ANOVA) "is used to analyze the differences among group means in a sample".
The sum of squares "is the sum of the square of variation, where variation is defined as the spread between each individual value and the grand mean"
If we assume that we have
groups and on each group from
we have
individuals on each group we can define the following formulas of variation:
And we have this property
The degrees of freedom for the numerator on this case is given by
where k represent the number of groups.
The degrees of freedom for the denominator on this case is given by
.
And the total degrees of freedom would be
We can find the
And 
The difference is that MSA takes incount the variation between the groups and the grand mean, and the MSW takes in count the variation within groups respect to the mean of each group
.
And the we can find the F statistic
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