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A small (p)valueis an indication that the null hypothesis is false.
For example, your school may make a statistics course mandatory for nursing students because research has shown that patient outcomes improve when nurses have a statistics background. You might think that there’s no difference. Instead of trying to prove that there’s no difference, proper research techniques dictate that you’ll try to disprove the opposite — the null hypothesis, which in this case is that “patient outcomes improve when nurses have a statistics background.” In order to disprove, or reject, the null hypothesis, your research must pass a test of .
Sample question: A researcher claims that more than 23% of community members go to church regularly. In a recent survey, 126 out of 420 people stated they went to church regularly. Is there enough evidence at α = 0.05 to support this claim? Use the PValue method to support or reject null hypothesis.
How to Determine a pValue When Testing a Null Hypothesis
Compare your answer from step 5 with the α value given in the question. Support or reject the null hypothesis? If step 5 is less than α, reject the null hypothesis, otherwise do not reject it. In this case, .582 (5.82%) is not less than our α, so we do not reject the null hypothesis.
Compare your to α. Support or reject null hypothesis? If the is less, reject the null hypothesis. If the Pvalue is more, keep the null hypothesis.
0.003
Support or Reject Null Hypothesis
You don’t have to perform the above calculations every time. This list of critical values and their associated twotailed test confidence levels were calculated using the above steps:
Sample question: A researcher claims that Democrats will win the next election. 4300 voters were polled; 2200 said they would vote Democrat. Decide if you should support or reject null hypothesis. Is there enough evidence at α=0.05 to support this claim?
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Type I error iswhen you reject the null hypothesiswhen it is true.
Sometimes, you’ll be given a proportion of the population or a percentage and asked to support or reject null hypothesis. In this case you can’t compute a test value by calculating a (you need actual numbers for that), so we use a slightly different technique.
A critical value is used in significance testing
Compare your answer from step 4 with the α value given in the question. Should you support or reject the null hypothesis?
If step 7 is less than or equal to α, reject the null hypothesis, otherwise do not reject it.
Null and Alternative Hypothesis  Real Statistics Using …
This is very helpful for me, I finally understand how to answer such a question I the exam, but I don’t understand where the 0.500 is from
And why to substract it from the z value ?!please clear this up for me as am
Just learning about hypothesis testing, I’d also appreciate if you’d explain to me more about the z tables , are they like standard tables?! For all hypothesis testing ? Am a lil lost so please help!!:(
Support or Reject Null Hypothesis in Easy Steps
If you have a , or are asked to find a pvalue, follow these instructions to support or reject the null hypothesis. This method works if you are given an and if you are not given an alpha level. If you are given a , just subtract from 1 to get the alpha level. See: .
How to Determine a pValue When Testing a Null Hypothesis
Basically, you reject the null hypothesis when your test value falls into the . There are four main ways you’ll compute test values and either support or reject your null hypothesis. Which method you choose depends mainly on if you have a proportion or a .
Significance Tests / Hypothesis Testing  Jerry Dallal
Draw a diagram, like the one above. Shade in the area in the left tail (because you’re looking for a critical value for a lefttailed test).
This area represents alpha, α.
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