PPT-Confidence intervals for proportions and means

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 28 inches so well assume . 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 Robin H. Lock, Burry Professor of Statistics. Patti Frazer Lock, Cummings Professor of Mathematics. St. Lawrence University. Joint Mathematics Meetings. New Orleans, January 2011. Intro Stat at St. Lawrence. 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 Robin H. Lock, Burry Professor of Statistics. St. Lawrence University. Stat Chat. Macalester College, March 2011. The Lock. 5. Team. Robin & Patti. St. Lawrence. Dennis. Iowa State. Eric. UNC- Chapel Hill. in . Assessments. Clare Trott. . and Hilary . Maddocks. This Session. Why use statistics in assessments. ?. “Averages”, Standard Deviation, variance, Standard . Error. Normal distribution, confidence intervals. Chapter 8. Hyde, Fennema & Lamon (1990). Mean gender differences in mathematical reasoning were very small.. When extreme tails of the distributions were removed, differences were smaller and reversed direction (favored girls). 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?. 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. 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. 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. 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 (e.g., population mean, or population proportion). 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 Introductory Statistics. Robin H. Lock, Burry Professor of Statistics. St. Lawrence University. Breakout Panel. USCOTS 2011 - Raleigh, NC. Intro Stat (Math 113) at St. Lawrence. 26-29 students per section. 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..