This preview shows pages 1–2. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.View Full Document
Unformatted text preview: 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. Check any necessary assumptions and write null and alternative hypotheses.Check any necessary assumptions and write null and alternative hypotheses....
View Full Document
- Spring '11