PPT-Hypothesis Tests One Sample Proportion

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 . ©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.. Introducing Hypothesis Tests. Review. A 99% confidence interval is . wider than a 95% confidence interval. . narrower than a 95% confidence interval. . the same width as a 95% confidence interval. . Inferential Statistics: . Using the sample statistics to infer . (to) . population parameters.. Modular Course 5. . Summary or Descriptive Statistics: . Numerical and graphical summaries of data.. Presented by :Dr. . Reshma.S. . Moderator : Dr. . Subodh. S Gupta. Why do we need sample size calculation?. When should we calculate sample size?. Basic principles for sample size calculation. Derivation of sample size formula. Section 5.4. Testing Hypotheses. about Proportions. 1. Example. Cellphone companies have discovered that college students, their biggest customers, have difficulty setting up all the features of their smart phones, so they have developed what they hope are simpler instructions.. 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.. STAT 101. Dr. Kari Lock Morgan. SECTION 4.1. Statistical test. . Null and alternative hypotheses. . Statistical significance. Review of Last Class. The standard error of a statistic is the standard deviation of the sample statistic, which can be estimated from a bootstrap distribution. 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. zTest. Say that 10 times, fast.. Minor differences. Like with a 1-sample proportion . zTest. , we will use p instead of mu for our hypotheses.. Like a 2-sample . zTest. , we will have two things equal to one another rather than a parameter equal to a number.. 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). nd. type of formal statistical inference. Our goal is to assess the evidence provided by data from a sample about some claim concerning the population.. Remember: We are asking ourselves “What would happen if we repeated the sample or the experiment many times?”. (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.. Inference for a Population Proportion Section 12.1 AP Registration Deadline: March 17 th Late Fee ($50): March 18 th – 24 th Financial Aid Application Due: March 1 st Remember Conditions for Inference Another dummy variable coding scheme. Contrasts. Multiple comparisons. Interactions. One. -factor . Analysis of variance. Categorical . Explanatory variable. Quantitative . Response variable. p. categories (groups).