PPT-Hypothesis Tests GrowingKnowing.com © 2011

1 GrowingKnowingcom 2011 Small Samples If your sample size is below 30 this is a small sample so use the t table not z Decision rule uses tinv instead of normsinv Excel 2010 . Excel. GrowingKnowing.com © 2011. 1. GrowingKnowing.com © 2011. Estimates. We are often asked to predict the future!. When will you complete your team project?. When will you make your first million dollars?. Excel. GrowingKnowing.com © 2011. 1. GrowingKnowing.com © 2011. There are 5 steps. Step 1: State the null and alternative hypothesis. Step 2: Select a confidence level. Step 3: Determine the decision rule. Excel. GrowingKnowing.com © 2011. 1. GrowingKnowing.com © 2011. Sample size. How big should a sample be for a valid study?. Why phone 10,000 students if phoning 50 is enough?. Large samples take longer and cost more. Manual. GrowingKnowing.com © 2011. 1. GrowingKnowing.com © 2011. Sample size. How big should a sample be for a valid study?. Why phone 10,000 students if phoning 50 is enough?. Large samples take longer and cost more. GrowingKnowing.com © 2011. 1. GrowingKnowing.com © 2011. Binomial probabilities. Your choice is between success and failure. You toss a coin and want it to come up tails. Tails is success, heads is failure. 1. Contents:. Tests of significance for small samples. Student’s t- test. Properties of t-Distribution. The t- table. Application of the t-Distribution. To test the significance of . Mean of a random sample. 1. GrowingKnowing.com © 2011. Percentile. What ‘s the difference between percentile and percent?. Percent measures ratio. 90% . percent . on a test shows you got 9 out 10 questions right. . Percentile measures position. GrowingKnowing.com © 2011. 1. GrowingKnowing.com © 2011. Estimates. We are often asked to predict the future!. When will you complete your team project?. When will you make your first million dollars?. 1. Sampling. A . sample. is a subset of the . population. In a . sample. , you study a few members of the population. In a . census. , you study every member of the population. If done properly, a sample can be accurate and avoid the cost and time needed for a full census . 1. GrowingKnowing.com © 2011. Binomial probabilities. Your choice is between success and failure. You toss a coin and want it to come up tails. Tails is success, heads is failure. Although you have only 2 conditions: success or failure, it does not mean you are restricted to 2 events. 1. GrowingKnowing.com © 2011. Sample size. How big should a sample be for a valid study?. Why phone 10,000 students if phoning 50 is enough?. Large samples take longer and cost more. What if a sample of 50 is not enough, you need 51 for a valid study?. What is hypothesis testing?. A statistical hypothesis is an assumption about a population parameter. This assumption may or may not be true. . The best way to determine whether a statistical hypothesis is true would be to examine the entire population. Since that is often impractical, researchers typically examine a random sample from the population. . Chapter 9 Tests of Hypotheses for a Single Sample Applied Statistics and Probability for Engineers Sixth Edition Douglas C. Montgomery George C. Runger Chapter 9 Title and Outline 9 Tests of Hypotheses for a Single Sample Another dummy variable coding scheme. Contrasts. Multiple comparisons. Interactions. One. -factor . Analysis of variance. Categorical . Explanatory variable. Quantitative . Response variable. p. categories (groups).