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 . Hypothesis. testing. The process of making judgments about a large group (population) on the basis of a small subset of that group (sample) is known as statistical inference.. Hypothesis testing, one of two fields in statistical inference, allows us to objectively assess the probability that statements about a population are true. . 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. 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?. 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. 6. MSc in Computing (Data Analytics). Lecture Outline. Hypothesis Testing. Statistical hypothesis testing and confidence interval estimation of parameters are the fundamental methods used at the data analysis stage of a . 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. Ho - this hypothesis holds that if the data deviate from the norm in any way, that deviation is due strictly to chance.. Alternative hypothesis. Ha - the data show something important.. Doing decision = accept/reject Ho (the decision centers around null hypothesis). 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-Sample). STEP 1, Null and Alternate Hypotheses. State the. “Null Hypothesis”. and . “Alternate Hypothesis”. STEP 1, Null and Alternate . Hypotheses. The Null Hypothesis is what we assume.. Q. uestion. R. andom guess. Observation. Experiment. Your mom. A . hypothesis is:. A . tentative explanation . for an observation or a scientific problem that can be tested by further investigation. . 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