Steps for Hypothesis Testing

1. State the null hypothesis: The null hypothesis is a statement that asserts that there is no difference between certain characteristics or measurements of two or more groups. 2. State the alternative hypothesis: The alternative hypothesis states that there is indeed a significant difference between the parameters specified in the null hypothesis. 3. Determine the level of significance: The level of significance is the probability of rejecting a null hypothesis if it's true. It will be used to decide whether the results support or reject the stated null hypothesis. 4. Select the appropriate test statistic: The test statistic is selected to determine if the difference between the two sets is statistically significant. 5. Collect and analyze the data: Collect the data that is necessary to perform the analysis and then use the correct statistical test to analyze the data. 6. Draw a conclusion: After analyzing the data using the appropriate test statistic, draw a conclusion whether to reject or accept the null hypothesis.