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Anna [14]
3 years ago
5

Choose all of the expressions that are equal to −9. the opposite of nine −|9| |−9| −|−9| −(−9) the distance from zero to nine

Mathematics
1 answer:
Gala2k [10]3 years ago
6 0

Answer:

−|9| = -9

−|−9| = -9

Step-by-step explanation:

−|9| = -9

|−9| = 9

−|−9| = -9

−(−9) = 9

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Michelle bought 76 pounds of cocoa powder for her bakery. Every day she used the same amount of cocoa powder to make bakery item
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3 years ago
A recent college graduate is in the process of deciding which one of three graduate schools he should apply to. He decides to ju
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For this case after conduct the ANOVA procedure they got an statistic of:

F = 8.61

With a p value of :

p_v =P(F_{2,15} > 8.61) = 0.003

Since the p value is lower than the significance level \alpha=0.1

We can reject the null hypothesis that the means are equal at the significance level provided.

t = \frac{\bar X_i -\bar X_j}{s_p \sqrt{\frac{1}{n_i} +\frac{1}{n_j}}}

For school 1 and 2 we have:

t = \frac{646.7 -606.7}{52.54 \sqrt{\frac{1}{6} +\frac{1}{6}}}= 1.318

For school 1 and 3

t = \frac{646.7 -523.3}{52.54 \sqrt{\frac{1}{6} +\frac{1}{6}}}= 4.068

For school 2 and 3 we have:

t = \frac{606.7 -523.3}{52.54 \sqrt{\frac{1}{6} +\frac{1}{6}}}= 2.749

So as we can see we have significant difference between the means of school 1 and 3, and school 2 and 3

Step-by-step explanation:

Previous concetps

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"  

Solution to the problem

The hypothesis for this case are:

Null hypothesis: \mu_{1}=\mu_{2}=\mu_{3}

Alternative hypothesis: Not all the means are equal \mu_{i}\neq \mu_{j}, i,j=1,2,3

If we assume that we have p groups and on each group from j=1,\dots,p we have n_j 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}=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}  

For this case after conduct the ANOVA procedure they got an statistic of:

F = 8.61

With a p value of :

p_v =P(F_{2,15} > 8.61) = 0.003

Since the p value is lower than the significance level \alpha=0.1

We can reject the null hypothesis that the means are equal at the significance level provided.

For the other part we can calculate the 3 statistics with the following formula:

t = \frac{\bar X_i -\bar X_j}{s_p \sqrt{\frac{1}{n_i} +\frac{1}{n_j}}}

For school 1 and 2 we have:

t = \frac{646.7 -606.7}{52.54 \sqrt{\frac{1}{6} +\frac{1}{6}}}= 1.318

For school 1 and 3

t = \frac{646.7 -523.3}{52.54 \sqrt{\frac{1}{6} +\frac{1}{6}}}= 4.068

For school 2 and 3 we have:

t = \frac{606.7 -523.3}{52.54 \sqrt{\frac{1}{6} +\frac{1}{6}}}= 2.749

So as we can see we have significant difference between the means of school 1 and 3, and school 2 and 3

5 0
3 years ago
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