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jasenka [17]
1 year ago
8

If the p-value is smaller than the level of significance, what conclusion should we reach?

Mathematics
1 answer:
marshall27 [118]1 year ago
7 0

If the p-value is smaller than the level of significance, then it indicates strong evidence against the null hypothesis, as there is less than a 5% probability the null hypothesis is correct.

In this question,

A p-value is a probability, calculated after running a statistical test on data and it lies between 0 and 1. The p-value only tells you how likely the data you have observed is occurred under the null hypothesis.

One of the most commonly used p-value is 0.05. If the value is greater than 0.05, the null hypothesis is considered to be true. If the calculated p-value turns out to be less than 0.05, the null hypothesis is considered to be false, or nullified (hence the name null hypothesis).

A small p-value (< 0.05 in general) means that the observed results are unusual, assuming that they were due to chance only. Now, the smaller the p-value, the stronger the evidence that should reject the null hypothesis.

Hence we can conclude that if the p-value is smaller than the level of significance, then it indicates strong evidence against the null hypothesis, as there is less than a 5% probability the null hypothesis is correct.

Learn more about p-value here

brainly.com/question/15855760

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standard form would be : 2x + 2y = 24, or it could also be x + y = 12

to find the x intercept, sub in 0 for y and solve for x

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to find the y intercept, sub in 0 for x and solve for y

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y = 12......so the y intercept is (0,12)

No, the intercepts do not make sense.

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if x is 12.......

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