notes 31

# notes 31 - Hypothesis Testing Submitted by gfj100 on Wed...

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Hypothesis Testing Submitted by gfj100 on Wed, 11/11/2009 - 13:14 Previously we used confidence intervals to estimate some unknown population parameter. For example, we constructed 1-proportion confidence intervals to estimate the true population proportion – this population proportion being the parameter of interest. We even went as far as comparing two intervals to see if they overlapped – if so we concluded that there was no difference between the population proportions for the two groups – or if the interval contained a specific parameter value. Statistical Significance A sample result is called statistically significant when the p -value for a test statistic is less than level of significance, which for this class we will keep at 0.05. In other words, the result is statistically significant when we reject a null hypothesis. Five Steps in a Hypothesis Test (Note: some texts will label these steps differently, but the premise is the same) 1.

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