The probability of observing the experiment result, a sample mean, for example, or something more unusual just by chance if the null hypothesis is true is the definition of "P-Value."
<h3>What is null hypothesis?</h3>
A null hypothesis is a sort of statistical hypothesis which asserts that there is no statistical significance in a particular set of observations.
Using sample data, hypothesis testing is performed to determine the believability of a theory. It really is expressed as H0 and is also known to simply as "null."
Some key features regarding null hypothesis are-
- A null hypothesis is a statistical conjecture that claims there is no variation between particular qualities of a population and data-generating process.
- The alternate hypothesis asserts the existence of a distinction.
- Hypothesis testing allows you to reject the null hypothesis with a particular level of confidence.
- If the null hypothesis can be rejected, it lends support to the alternative hypothesis.
- The notion of falsity in science is founded on null hypothesis testing.
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Answer:
1135.38
Step-by-step explanation:
100%->1015
100-6=94
94%->954.1
--------------------------------------------------
100%->954.1
119%->1135.379
≈1135.38
Ab + bc = ac
3x + 4 + x + 3 = 5x + 2
4x + 7 = 5x + 2
7 - 2 = 5x - 4x
5 = x <==
ab = 3x + 3....3(5) + 4 ....15 + 4 = 19
bc = x + 3 ...5 + 3 = 8
ac = 5x + 2....5(5) + 2.....25 + 2 = 27
