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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8 + 5 = 13
10 + 3 = 13
i think thats what you asking right
I'm not sure what methods you've learned up to this point but one option is to apply separation of variables:
and then integrate from there,
exponentiate to isolate y,
Apply exponent rule,
rename this e^c as some new constant, perhaps A,
This A can only be positive, non-zero, but absorbing the plus/minus fixes that restriction,
Use your initial information to solve for this unknown value A,
solving for A, dividing by the exponential,
So we get a final result of
apply exponent rule again to get a better looking answer, and factor,
Lemme know if too confusing.
