8/25/2009Lecture 11 STOR 155 Introductory Statistics Lecture 1: Overview The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL.

Slides:



Advertisements
Similar presentations
Chapter 16 Inferential Statistics
Advertisements

Introduction to Statistics
QBM117 Business Statistics Introduction to Statistics.
Section 2.2: What do samples tell us?.
MATH 2400 Chapter 11 Notes. Parameters & Statistics A parameter is a number that describes the population. The exact value of the parameter is usually.
Statistical Inference: Confidence Intervals
AP Statistics Week of 2/23 – 3/2
Chap 1-1 Chapter 1 Why Study Statistics? EF 507 QUANTITATIVE METHODS FOR ECONOMICS AND FINANCE FALL 2008.
Part III: Inference Topic 6 Sampling and Sampling Distributions
© 2013 Pearson Education, Inc. Active Learning Lecture Slides For use with Classroom Response Systems Introductory Statistics: Exploring the World through.
Ch. 9 Fundamental of Hypothesis Testing
Note 9 of 5E Statistics with Economics and Business Applications Chapter 7 Estimation of Means and Proportions Point Estimation, Interval Estimation/Confidence.
CHAPTER 11: Sampling Distributions
Chapter 9 Comparing Means
Hypothesis Testing A hypothesis is a conjecture about a population. Typically, these hypotheses will be stated in terms of a parameter such as  (mean)
1 BA 275 Quantitative Business Methods Hypothesis Testing Elements of a Test Concept behind a Test Examples Agenda.
CHAPTER 11: Sampling Distributions
Testing a Claim I’m a great free-throw shooter!. Significance Tests A significance test is a formal procedure for comparing observed data with a claim.
Statistics The science of collecting, analyzing, and interpreting data. The Statistical Problem Solving Process: 1.Ask a question of interest 2.Produce.
Random Sampling, Point Estimation and Maximum Likelihood.
Lecture 12 Statistical Inference (Estimation) Point and Interval estimation By Aziza Munir.
1 Sampling Distributions Lecture 9. 2 Background  We want to learn about the feature of a population (parameter)  In many situations, it is impossible.
Lecture 1 Adventures in statistics. 1/13/11Lecture 1 2 Jan Hannig 330 Hanes Building (919) Personal webpage.
381 QSCI Winter 2012 Introduction to Probability and Statistics.
Statistical Reasoning Introduction to Probability and Statistics Ms. Young.
Introduction Biostatistics Analysis: Lecture 1 Definitions and Data Collection.
Confidence Intervals: The Basics BPS chapter 14 © 2006 W.H. Freeman and Company.
What is Statistics. Statistics for Business and Economics, 6e © 2007 Pearson Education, Inc. Chap 1-2 Lecture Goals After completing this theme, you should.
Introduction to Inferece BPS chapter 14 © 2010 W.H. Freeman and Company.
Section 3.3: The Story of Statistical Inference Section 4.1: Testing Where a Proportion Is.
Chapter 7 Sampling Distributions Target Goal: DISTINGUISH between a parameter and a statistic. DEFINE sampling distribution. DETERMINE whether a statistic.
Confidence Interval Estimation For statistical inference in decision making:
An Overview of Statistics NOTES Coach Bridges What you should learn: The definition of data and statistics How to distinguish between a population and.
Unit 1 Sections 1-1 & : Introduction What is Statistics?  Statistics – the science of conducting studies to collect, organize, summarize, analyze,
MATH 598: Statistics & Modeling for Teachers May 21, 2014.
Confidence Interval Estimation For statistical inference in decision making: Chapter 9.
Chapter 1: Getting Started Section 1: Essential question: What is statistics?
Chapter 7 Data for Decisions. Population vs Sample A Population in a statistical study is the entire group of individuals about which we want information.
The population in a statistical study is the entire group of individuals about which we want information The population is the group we want to study.
9-1 ESTIMATION Session Factors Affecting Confidence Interval Estimates The factors that determine the width of a confidence interval are: 1.The.
4.3 Using Studies Wisely Objective SWBAT Describe the scope of inference that is appropriate in a statistical study.
An Overview of Statistics Lesson 1.1. What is statistics? Statistics is the science of collecting, organizing, analyzing, and interpreting data in order.
The Results of Using Educational Games on Math Score for Preschool Children Pavinee Komanasin.
AP Statistics Part IV – Inference: Conclusions with Confidence Chapter 10: Introduction to Inference 10.1Estimating with Confidence To make an inference.
Introduction to Inference
ECO 173 Chapter 10: Introduction to Estimation Lecture 5a
GOVT 201: Statistics for Political Science Prof. Brian Conley
Statistics – The science of collectiong, organizing, analyzing, and interpreting data in order to make decisions. Data – Consists of information coming.
Hypothesis Testing and Confidence Intervals (Part 1): Using the Standard Normal Lecture 8 Justin Kern October 10 and 12, 2017.
Overview of Statistics
Chapter Statistics and Probability
Sampling Distributions
ECO 173 Chapter 10: Introduction to Estimation Lecture 5a
1.1 What Is/Are Statistics?
Inference About Variables Part IV Review
Reasoning in Psychology Using Statistics
Section 7.7 Introduction to Inference
CHAPTER 7 Sampling Distributions
1.1 What Is/Are Statistics?
Probability and Statistics
Chapter 1 The Where, Why, and How of Data Collection
Sampling Distributions
Reasoning in Psychology Using Statistics
CHAPTER 7 Sampling Distributions
CHAPTER 7 Sampling Distributions
Chapter 1 Why Study Statistics?
Chap. 1: Introduction to Statistics
The Where, Why, and How of Data Collection
How Confident Are You?.
Chapter 1 The Where, Why, and How of Data Collection
Presentation transcript:

8/25/2009Lecture 11 STOR 155 Introductory Statistics Lecture 1: Overview The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL

8/25/2009Lecture 12 Registration Issues Contact Charlotte Rogers: Hanes 321, , Fill out some paperwork with her to be put on the waiting list.

8/25/2009Lecture 13 My Strategy for Success Stay active/involved in class. Ask questions during class (especially if you do not understand something). –Do not feel shy or stupid. Answer questions to help other students if you can. Keep pace with the lectures, review daily, do homework after each lecture to help understand the materials. Make effective use of office hours (Instructor and IA) and open tutorial sessions –Help you to answer questions about homework and lectures –Private time vs. public time

8/25/2009Lecture 14 What is Statistics? "Data! Data! Data!" he cried impatiently. "I can't make bricks without clay." ---- Sherlock Holmes The Adventures of the Copper Beeches "Data! Data! Data!" he yelled loudly. "I can't teach Statistics without Data." ---- Instructor Introductory Statistics

8/25/2009Lecture 15 What is Statistics? Statistics: the science of collecting, organizing, and interpreting data. data = information Inference about population (using statistical tools) Population Sample of data

8/25/2009Lecture 16 How can Statistics help us? claims that it contains 1000 chips. Is this true? Among a group of randomly chosen people, how likely is it for two of them to have the same birthday? What is the relationship between Income and Years of Education? Design your own experiment, collect data, analyze data and draw conclusions.

8/25/2009Lecture 17 SAT Scores Parents and teachers have been concerned about the trend of declining SAT scores and sought ways to halt the decline. One question: the effect of classroom atmosphere (strict or liberal). To answer the question, 50 students (24 males and 26 females) participated in a study on student performance, as measured by SAT scores at the end of the school year. The students were divided into two groups of 25 each (12 males and 13 females), with Group 1 to study under a strict atmosphere while Group 2 under a very permissive atmosphere. They were matched according to socio-economic background.

8/25/2009Lecture 18 SAT Scores After nine months, all students were given the same standardized tests: the verbal test and the mathematics test. StudentGroupGenderSATMathSATVer AStrictF BStrictM CLiberalF DLiberalM ……………

8/25/2009Lecture 19 SAT Scores This example involves data collection, data analysis, and statistical inference. –How? Questions: –Does stricter classroom atmosphere increase the average score? –Why “matched according to socio-economic background”? –Why “12 males and 13 females per group”? –Is the group size 50 large enough to make a confident conclusion?

8/25/2009Lecture 110 Fundamental Concepts Population: the entire group of individuals that we want information about. –Students (who are about to take SAT) Sample: a part of the population that we actually examine in order to gather information. –those students selected into the study Sample size: number of observations/individuals in a sample. –50 Statistical inference: to make an inference about a population based on the information contained in a sample. –Based on the data from the study, to infer whether a stricter classroom atmosphere increases SAT scores in general.

8/25/2009Lecture 111 Fundamental Concepts A parameter is a value that describes the population. It’s fixed but unknown in practice. –the average SAT score of all the students, who are about to take SAT. A statistic is a value that describes a sample. It’s known once a sample is obtained. –the average SAT score of all the students, who are selected into the study. –a sample analogy of the parameter.

8/25/2009Lecture 112 Practice Exercise Suppose you are interested in finding out the average SAT score of UNC unders, –The SAT scores of all UNC unders in STOR155 –The SAT scores of all UNC unders Suppose you are interested in finding out the average SAT score of US unders, –The SAT scores of all UNC unders –The SAT scores of all US unders

8/25/2009Lecture 113 Take Home Message Statistics is the science of data: –Collecting –Analyzing –Decision making = Information processing Fundamental concepts: –Population, parameter, sample, statistic, sample size You can do a LOT with statistics … what ?

Take home message Interested in population, but it’s too large to become known completely Statisticians work on sample, which is a smaller and observable ``proxy’’ There is uncertainty in this transition, hence errors are inevitable … That’s why statistical methods are needed … 8/25/2009Lecture 114