PPT-S2 HYPOTHESIS

TESTING The process for setting up a hypothesis test State the statistical model State your NULL HYPOTHESIS H 0 State your ALTERNATE HYPOTHESIS H 1 State the significance level Test your statistic against. 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. . ©2013 Michael J. Rosenfeld. Draft date: 1/14/2013. The sample frame, or sample universe, is the data that our sample is drawn from. In the case of the March, 2000 CPS, the sample universe includes all people residing in the US in March, 2000, who were not living in institutional settings. This sample frame has N members.. Note:. In Chapter 8 we used methods of estimating the value of a parameter.. In this chapter, we are drawing inferences about the parameter by making decisions concerning the value of the parameter. Two Hypothesis:. STAT 250. Dr. Kari Lock Morgan. SECTION 4.3. Significance level (4.3). Statistical conclusions (4.3). p-value and H. 0. If the p-value is small, then a statistic as extreme as that observed would be unlikely if the null hypothesis were true, providing significant evidence against H. How does a hypothesis begin?. What do you do with it?. How do you make one?. How does a hypothesis begin?. Scientists make lots of observations. This leads them to form scientific questions about what they have observed. Each scientist creates an explanation – or hypothesis – that he or she thinks will answer the question.. Hypothesis Testing. Test of hypothesis - Test whether a population parameter is less than, equal to, or greater than a specified value.. Remember an inference without a measure of reliability is little more than a guess.. 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. Definitions. 1. Hypothesis. : . A tentative statement such as ‘if A happens then B must happen’ that can be tested . by direct . experiment or observation. A proven hypothesis can be expressed as a law or a theory. . 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. The difference between a sample and a population. Null and research hypotheses. What is a good hypothesis. This week. 2. Hypothesis. An educated guess. Research questions .  hypothesis. A good hypothesis translates a problem or research question into a form that is more amendable to testing. Hypothesis: a reasonable statement that can be tested (predicts). Law: statement or mathematical expression of something that always happens; testable (describes). Theory: broad generalization that is based on observation, experimentation, and reasoning; not testable; is modified as new information is discovered (explains). (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. . Sample. , shape, location, and spread. Sample = make sure it's random, handle missing data (mcar, mar, nmar), imputation . methods. NMAR!. . Shape = Is the data skewed, normal, or flat? If normal then we can use statistical analysis for normal .