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Ivenika [448]
3 years ago
15

Solve y = mx + b for x

Mathematics
1 answer:
eimsori [14]3 years ago
8 0
Y=mx+b
-b -b
--------------
-by= mx
-------------
m m

-by
------
m
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Explain type i error and give an example. explain type ii error and give an example. what is the best way to reduce both kinds o
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Type I error says that we suppose that the null hypothesis exists rejected when in reality the null hypothesis was actually true.

Type II error says that we suppose that the null hypothesis exists taken when in fact the null hypothesis stood actually false.

<h3>What is Type I error and Type II error?</h3>

In statistics, a Type I error exists as a false positive conclusion, while a Type II error exists as a false negative conclusion.

Making a statistical conclusion still applies uncertainties, so the risks of creating these errors exist unavoidable in hypothesis testing.

The probability of creating a Type I error exists at the significance level, or alpha (α), while the probability of making a Type II error exists at beta (β). These risks can be minimized through careful planning in your analysis design.

Examples of Type I and Type II error

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To learn more about Type I and Type II error refer to:

brainly.com/question/17111420

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