PPT-The Relationship between Confidence Intervals & Hypothesis Tests
Author : conchita-marotz | Published Date : 2018-09-30
John Krickl Glenbrook North High School Northbrook IL jkricklglenbrook225org DUALITY STICKS Motivation Using the same sample a twotailed hypothesis test with significance
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The Relationship between Confidence Intervals & Hypothesis Tests: Transcript
John Krickl Glenbrook North High School Northbrook IL jkricklglenbrook225org DUALITY STICKS Motivation Using the same sample a twotailed hypothesis test with significance level α will . Remember we saw The sample proportion will differ from the population proportion by more than the margin of error less than 5 of the time The Margin of Error for a sample of size n is 1 n Suppose we wanted to estimate a Population Mean rather than a Tom Walker and Matt Newman. Prevelance. Prevalence. . – proportion/percentage of current sufferers. . (Point). prevalence . - in winter, 4.4% of population has common cold at any given time.. Period. Module 2.2: Confidence Intervals for Two Parameters Lecture 2.2.4: Confidence Intervals as Hypothesis Tests The foregoing section shows that the computaprovide computational procedures forces of means 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?. 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?. Chapter 23. Inference About Means . Getting Started. Now that we know how to create confidence intervals and test hypotheses about proportions, . it would . be nice to be able to do the same for means. TAU Bootstrap Seminar 2011. Dr. Saharon Rosset. Shachar Kaufman. Based on Efron and Tibshirani’s . “An introduction to the bootstrap”. Chapter 14. Agenda. What’s wrong with the simpler intervals?. 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.. Zero In on the Null. To . perform a hypothesis test, the null must be a statement about the value of a parameter for a model. . We then use this value to compute the probability that the . observed. sample statistic—or something even farther from the null value—might occur.. Writing a Hypothesis. Quick Questions. What do we remember about testable questions?. What is a hypothesis?. What do hypotheses have in common with testable questions?. How do we write a hypothesis?. Robin Lock. Burry Professor of Statistics. St. Lawrence University. AMATYC Webinar. December 6, 2016. The Lock. 5. Team. Patti & Robin. St. Lawrence. Kari. Harvard. Penn State. Eric. North Carolina. Day 19. A new example, with less information:. Now I want to know about the average height of three year old apple trees. A random sample of 60 trees gave us a standard deviation of 2.8 inches (so we’ll assume . Chapter 6 Confidence Intervals Sections 6-1 and 6-2 Confidence Intervals for Large and Small Samples VOCABULARY: Point Estimate – A single value estimate for a population parameter. Special Topics. A 95% Confidence Interval. Now, in plain English…. What this is saying is that a 95% confidence interval is an interval created to estimate what (where) the true parameter might be..
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