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Sonbull [250]
2 years ago
9

when calculating cohen’s d (a standardized effect size) for an independent samples t-test, the result will tell you how many the

averages are away from one another.
Mathematics
1 answer:
777dan777 [17]2 years ago
3 0

by cohen's  d three averages are away from one another.

effect size allows us to measure the magnitude of mean differences. This is usually calculated after rejecting the null hypothesis in a statistical test. If the null hypothesis is not rejected, effect size has little meaning.

cohen's  d=\frac{X_{1} -X_{2} }{\sqrt{S^{2}_{P}  } }

With cohen's d, remember that:

d = 0.2, small effect

d = 0.5, medium effect

d = 0.8, large effect

therefore, by cohen's  d three averages are away from one another.

learn more about cohen's  d here:

brainly.com/question/3393337

$SPJ9

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<h3>Answer:</h3>
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  2. see attached
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<h3>Step-by-step explanation:</h3>

1. When "a" is a root of a polynomial, (x -a) is a factor of it. For the three roots given, the factors of the desired polynomial are (x +2)(x -1/2)(x -3).

In order to make the leading coefficient be negative, we need to multiply this product by a negative number. Any negative number will do, but we choose a small (magnitude) value that will eliminate the fraction: -2.

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