PPT-Hypothesis Testing: Hypotheses

Author : natalia-silvester | Published Date : 2017-05-08

STAT 250 Dr Kari Lock Morgan SECTION 41 Hypothesis test Null and alternative hypotheses Statistical significance Tea and the Immune System L theanine is an amino

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Hypothesis Testing: Hypotheses: Transcript


STAT 250 Dr Kari Lock Morgan SECTION 41 Hypothesis test Null and alternative hypotheses Statistical significance Tea and the Immune System L theanine is an amino acid found in tea. ©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.. P: Parameter of Interest. If you haven’t noticed yet, the parameter of interest is kind of a big deal. First, and foremost, we always want to consider who or what the research is trying to generalize to.. Given data to explain, search for possible explanaiers (hypotheses). Score them. Assemble them into a composite explanation. Hypothesis Assembly Algorithm. Look for essential hypotheses. a hypothesis that is the only way to explain some data. EQ: What are the most effective ways to carry out a scientific inquiry?. Sometimes in science, events are so big (like the explosion of a volcano), or so small (like the movement of Euglena) or so distant (like the movement of a star) that it is impossible for our brains to understand them in their entirety.. 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. Given data to explain, search for possible explanaiers (hypotheses). Score them. Assemble them into a composite explanation. Hypothesis Assembly Algorithm. Look for essential hypotheses. a hypothesis that is the only way to explain some data. 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?”. 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. . Score them. Assemble them into a composite explanation. Hypothesis Assembly Algorithm. Look for essential hypotheses. a hypothesis that is the only way to explain some data. Include/propagate/remove (see the next slide) and repeat from top. Frances Chumney, PhD CONTENT OUTLINE  Logic of Hypothesis Testing  Error & Alpha  Hypothesis Tests  Effect Size  Statistical Power HYPOTHESIS TESTING 2 HYPOTHESIS TESTING LOGIC OF HYPOT I. Terms, Concepts. A. In general, we do not know the true value of population parameters - they must be estimated. However, we do have hypotheses about what the true values are. B. The major AP Statistics. Unit 5. Hypotheses. Hypotheses are working models that we adopt temporarily.. Our starting hypothesis is called the . null hypothesis. . . The null hypothesis, that we denote by . H. 0. Are the Results Convincing?. We keep talking about . statistical significance. .. Now that we know the standard deviation of a proportion, . we’re . really in business.. If a statistic we observe is more than 2 standard deviations from the proportion we expect, we are ready to say we have a statistically significant difference.. m. artina.litschmannova. @vsb.cz. EA 538. Terms Introduce in Prior Chapter. Population. . …. . all possible values. Sample. . …. a portion of the population. . Statistical inference . …. .

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