# 8.9 Summary of the hypothesis test

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The hypothesis test itself has an established process. This can be summarized as follows:

1. Determine ${H}_{o}$ and ${H}_{a}$ . Remember, they are contradictory.
2. Determine the random variable.
3. Determine the distribution for the test.
4. Draw a graph, calculate the test statistic, and use the test statistic to calculate the p-value    . (A z-score and a t-score are examples of test statistics.)
5. Compare the preconceived $\alpha$ with the p-value, make a decision (reject or do not reject ${H}_{o}$ ), and write a clear conclusion using English sentences.

Notice that in performing the hypothesis test, you use $\alpha$ and not $\beta$ . $\beta$ is needed to help determine the sample size of the data that is used in calculating the p-value. Rememberthat the quantity $1-\beta$ is called the Power of the Test . A high power is desirable. If the power is too low, statisticians typically increase the sample size while keeping $\alpha$ the same. If the power is low, the null hypothesis might not be rejected when it should be.

I only see partial conversation and what's the question here!
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Damian
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Rafiq
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Damian
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LITNING
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Mahi
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Rafiq
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write examples of Nano molecule?
Bob
The nanotechnology is as new science, to scale nanometric
brayan
nanotechnology is the study, desing, synthesis, manipulation and application of materials and functional systems through control of matter at nanoscale
Damian
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what king of growth are you checking .?
Renato
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Kyle
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why?
what school?
Kyle
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Joe
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research.net
kanaga
sciencedirect big data base
Ernesto
Introduction about quantum dots in nanotechnology
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Bharti
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absolutely yes
Daniel
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Maciej
Abigail
for teaching engĺish at school how nano technology help us
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How can I make nanorobot?
Lily
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