# Hypothesis Testing - Statistics How To

Im having a hard time answer a problem. The genetics and IV I situate conduct a clinical trial of the YOSORT method designed to increase the probability of a boy and 239 of them were Boyd’s. Use a 0.01 significance level to test the claim that the YOSORT method is effective in increasing the like hood that a baby will be a boy . I have to identify the null hypothesis, alternative hypothesis, test status is, p-value or critical value .

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A hypothesis is an **educated guess** about something in the world around you. It should be testable, either by experiment or observation. For example:

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If you are going to propose a hypothesis, it’s customary to write a statement. Your statement will look like this:

“If I…(do this to an )….then (this will happen to the ).”

For example:

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Ten or so years ago, we believed that there were 9 planets in the solar system. Pluto was demoted as a planet in 2006. The null hypothesis of “Pluto is a planet” was replaced by “Pluto is not a planet.” Of course, rejecting the null hypothesis isn’t always that easy — the hard part is usually figuring out what your null hypothesis is in the first place.

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Next, you’ll need to **state the null hypothesis** (See: ). That’s what will happen if the researcher is *wrong*. In the above example, if the researcher is wrong then the recovery time is less than or equal to 8.2 weeks. In math, that’s:

H_{0} μ ≤ 8.2

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State the null hypothesis. In this case, the null hypothesis is that the population mean is 18.9, so we write:**H _{0}: μ = 18.9**