PPT-SWBAT: Construct and interpret a confidence interval

for a population proportion Do Now A confidence interval is centered around a I Parameter II Statistic III Measure of Variance A I only D I and II only. Confidence Intervals. (application of the Central Limit Theorem). Sections 5.1, 5.2. Introduction and Confidence Intervals for Proportions. Lecture Unit 5 Objectives. Construct . confidence intervals. Excel. 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?. . Interval. You. . sample. 36 . apples. . from. . your. . farm’s. . harvest. of . over. 200,000 . apples. . . The. . mean. . weight. of . the. . sample. is 112 . grams. (. with. 40 gram . 1. 8. Statistical Intervals for a Single Sample. 8-1 Introduction. 8-2 Confidence Interval on the Mean of a Normal, . σ. 2. Known. . 8-2.1 Development of the Confidence Interval & Its Properties. 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?. Do Now:. Do heavier cars really use more gasoline? In the following data set, . x. is the weight of some randomly selected cars (in hundreds of pounds), and . y. is the gas mileage (in mpg) for that car. This data set comes from . Confidence Intervals on . and. An interval estimator is a formula that tells us how to use sample data to calculate an interval that estimates a population parameter.. The confidence coefficient is the probability that an interval estimator encloses the population parameter.. Behavioral. . Sciences. Session . #. 15:. Interval. Estimation, . Confidence . Interval. (. Agresti. and Finlay, . Chapter. 5). Prof. Amine Ouazad. Statistics. Course . Outline. Part I. Introduction and Research Design. 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. Confidence Intervals for a Population Proportion Section 8.3 Objectives Construct a confidence interval for a population proportion Find the sample size necessary to obtain a confidence interval of a given width i. , perform operations on complex numbers, graph complex numbers on the appropriate axis. SWBAT: simplify powers of . i. , perform operations on complex numbers, graph complex numbers on the appropriate axis. transformations of these graphs. LO: SWBAT state the transformations of the sine and cosine. Graphs in words.. CO: SWBAT generate the graphs of the sine and cosine functions and explore various . transformations of these graphs. LO: SWBAT state the transformations of the sine and cosine. Martijn Schuemie, PhD. Janssen Research and Development. Previous meetings. Oct 19: Sequence Symmetry Analysis. Nov 2: Distributed regression & bio-signal collection. Nov 16: Propensity score lessons learned. 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..