PPT-Week 10 Chapter 16. Confidence Intervals for Proportions 1

Week 10 Chapter 16 Confidence Intervals for Proportions 1 Point and Interval Estimation A point estimate for example estimated mean or estimated proportion is a single number that is the best value for the parameter eg population mean or population proportion. 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 Estimates and Sample Sizes. Chapter . 7, Part 2. Example Problems. Finding Margin of Error. Question:. Assume that a random sample is used to estimate a population proportion p. Find the margin of error E that corresponds to the given statistics and confidence level.. 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 in . Assessments. Clare Trott. . and Hilary . Maddocks. This Session. Why use statistics in assessments. ?. “Averages”, Standard Deviation, variance, Standard . Error. Normal distribution, confidence intervals. Using Lock5. Statistics: Unlocking the Power of Data. Patti Frazer Lock. Chapter 1: Collecting Data. Why is this first?. Comes first in actual analysis. More interesting than histograms and mean/median!. Lesson Confidence Intervals of Confidence Intervals of Odds Ratio and RelativeRiskRelativeRisk Relative Lesson14OutlineLesson14Outline Lesson Lesson14coversLesson14covers Confidence Interval of an Od 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?. http://pballew.blogspot.com/2011/03/100-confidence-interval.html. Statistical Inference. 2. Sampling. Sampling Variability. What would happen if we took many samples?. 3. Population. Sample. Sample. Sample. Section 8.1. Confidence Intervals: The Basics. After this section, you should be able to…. INTERPRET a confidence level. INTERPRET a confidence interval in context. DESCRIBE how a confidence interval gives a range of plausible values for the parameter. 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?. 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. Chapter 8: Inference for Proportions Lecture Presentation Slides Macmillan Learning © 2017 Chapter 8 Inference for Proportions 8.1 Inference for a Single Proportion 8.2 Comparing Two Proportions 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..