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. In this section we will be able to give real life examples of Fractions and Proportions. We will also learn how to solve and evaluate Fractions and Proportions in word problems.. Lesson plan goals. We are constantly using fractions everyday. Most of the time not really even noticing that we are using fractions. Have you ever checked the clock or a watch for the time? Guess what the time is a fraction of a day so any time you use a watch, clock. in . Assessments. Clare Trott. . and Hilary . Maddocks. This Session. Why use statistics in assessments. ?. “Averages”, Standard Deviation, variance, Standard . Error. Normal distribution, confidence intervals. Statistics. What you will learn. Be able to state the null and alternative hypotheses for testing the difference between two population proportions.. Know how to examine your data for violations of conditions that would make inference about the difference between the two population proportions unwise or invalid.. :. Rabbinc. Officiation and Intermarriage.   . Interfaith Opportunity Summit. Philadelphia, PA. 26 October 2016. Leonard Saxe, PhD. Klutznick Professor of Contemporary Jewish Studies. Oldest. child being . Lesson 5.2: Proportions. Chapter Five: Ratios and Proportions. Lesson 5.2: Proportions. Chapter Five: Ratios and Proportions. Lesson 5.2: Proportions. Chapter Five: Ratios and Proportions. Lesson 5.2: Proportions. Confidence Intervals. Scientific Practice. Samples are Estimates. When we . sample. a population, we end up with a sample mean, . . it’s our ‘best guess’ of the real population mean, . µ. the ‘real’ mean of the population is ‘hidden’. 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?. 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. 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..