Interpretation of the p-value


Statistics use samples of a population rather than the population itself. This makes the outcome of the test an estimate of the actual population parameter you wish to measure. Public health practitioners infer information on a population using the samples from which data was collected. You consider another approach to inference-hypothesis testing and how statisticians use point estimates and margins of error to describe or compare the source populations. Focused on the introduction to hypothesis testing.

Answer the following Questions:

1) Analysis of how hypothesis testing and the use of confidence intervals are the same.

2) Analyze how these are different.

3) Differentiate the interpretation of the p-value from the interpretation of a confidence interval in determining statistical significance.

4) Use specific examples in your response.

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Basic Statistics: Interpretation of the p-value
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