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patriot [66]
3 years ago
6

HURRYYYYY UPPPP

Mathematics
1 answer:
Reika [66]3 years ago
8 0

Kenneth wrote per page is 4

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Solve the system by using substitution.<br> y = 2x – 10 and - 6x – 2y = -10
Ann [662]

Answer:

(3, -4) or x = 3 and y = -4

Step-by-step explanation:

Hope this helps!

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3 years ago
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Please helpp me!!<br> (zoom in to see more clear)<br> please explain your reasoning!!!
Citrus2011 [14]

Answer:

Neither because reason is incorrect answer of Vicente is wrong and reason of Zwena is wrong.Though her answer is correct her reason is incorrect.

Step-by-step explanation:

expression 9x-2x+4x is done as

9x-2x+4x

9x+4x-2x

13x-2x

11x

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3 years ago
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I don't understand how to sole this problem !!!!
boyakko [2]
12 because 6x2 equals 12
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3 years ago
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Can someone please help, ty!!
Nina [5.8K]

Answer:

The answer is 0.

Step-by-step explanation:

HOPE THIS HELPS!!!

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4 years ago
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The distribution of the test statistic for analysis of variance is the F-distribution. true or false
lubasha [3.4K]

Answer:

True. See explanation below

Step-by-step explanation:

Previous concepts

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 k groups and on each group from j=1,\dots,k we have k individuals on each group we can define the following formulas of variation:  

SS_{total}=\sum_{j=1}^p \sum_{i=1}^{n_j} (x_{ij}-\bar x)^2  

SS_{between=Treatment}=SS_{model}=\sum_{j=1}^p n_j (\bar x_{j}-\bar x)^2  

SS_{within}=SS_{error}=\sum_{j=1}^p \sum_{i=1}^{n_j} (x_{ij}-\bar x_j)^2  

And we have this property  

SST=SS_{between}+SS_{within}  

The degrees of freedom for the numerator on this case is given by df_{num}=k-1 where k represent the number of groups.  

The degrees of freedom for the denominator on this case is given by df_{den}=df_{between}=N-k.  

And the total degrees of freedom would be df=N-1

And the we can find the F statistic F=\frac{MSR}{MSE}

8 0
4 years ago
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