8.2 Confidence Intervals for One Population Mean When σ is Known

Similar documents
Confidence Intervals for One Standard Deviation Using Standard Deviation

Point and Interval Estimates

Constructing and Interpreting Confidence Intervals

Week 4: Standard Error and Confidence Intervals

BA 275 Review Problems - Week 5 (10/23/06-10/27/06) CD Lessons: 48, 49, 50, 51, 52 Textbook: pp

Population Mean (Known Variance)

Confidence Intervals for Cpk

AMS 5 CHANCE VARIABILITY

Good luck! BUSINESS STATISTICS FINAL EXAM INSTRUCTIONS. Name:

Confidence Intervals for Cp

Math 201: Statistics November 30, 2006

OPTIONS TRADING AS A BUSINESS UPDATE: Using ODDS Online to Find A Straddle s Exit Point

Northumberland Knowledge

Normal distribution. ) 2 /2σ. 2π σ

Adverse Impact Ratio for Females (0/ 1) = 0 (5/ 17) = Adverse impact as defined by the 4/5ths rule was not found in the above data.

Unit 31 A Hypothesis Test about Correlation and Slope in a Simple Linear Regression

The Standard Normal distribution

Using Excel for inferential statistics

Sample Size and Power in Clinical Trials

Confidence Intervals for the Difference Between Two Means

Analyzing Portfolio Expected Loss

HYPOTHESIS TESTING (ONE SAMPLE) - CHAPTER 7 1. used confidence intervals to answer questions such as...

Introduction to Hypothesis Testing. Hypothesis Testing. Step 1: State the Hypotheses

Lesson 1: Comparison of Population Means Part c: Comparison of Two- Means

The Central Limit Theorem

ESTIMATING COMPLETION RATES FROM SMALL SAMPLES USING BINOMIAL CONFIDENCE INTERVALS: COMPARISONS AND RECOMMENDATIONS

Now we begin our discussion of exploratory data analysis.

Market Size Forecasting Using the Monte Carlo Method. Multivariate Solutions

Confidence intervals

SENSITIVITY ANALYSIS AND INFERENCE. Lecture 12

Chapter 8 Hypothesis Testing Chapter 8 Hypothesis Testing 8-1 Overview 8-2 Basics of Hypothesis Testing

5.1 Identifying the Target Parameter

Pr(X = x) = f(x) = λe λx

Fixed-Effect Versus Random-Effects Models

Coefficient of Determination

CONTENTS OF DAY 2. II. Why Random Sampling is Important 9 A myth, an urban legend, and the real reason NOTES FOR SUMMER STATISTICS INSTITUTE COURSE

Two-sample inference: Continuous data

Charge Card Administration. Accessing the Travel Card Cardholder Training in the Learning Management System (LMS)

Learning Objectives. Understand how to select the correct control chart for an application. Know how to fill out and maintain a control chart.

A) B) C) D)

Unit 26 Estimation with Confidence Intervals

Test Reliability Indicates More than Just Consistency

Department of Civil Engineering-I.I.T. Delhi CEL 899: Environmental Risk Assessment Statistics and Probability Example Part 1

Hypothesis Testing for Beginners

General Method: Difference of Means. 3. Calculate df: either Welch-Satterthwaite formula or simpler df = min(n 1, n 2 ) 1.

WISE Power Tutorial All Exercises

Projects Involving Statistics (& SPSS)

Hypothesis testing - Steps

Content Sheet 7-1: Overview of Quality Control for Quantitative Tests

Measurement Systems Correlation MSC for Suppliers

COMP6053 lecture: Relationship between two variables: correlation, covariance and r-squared.

Need for Sampling. Very large populations Destructive testing Continuous production process

Chapter 3 RANDOM VARIATE GENERATION

Best Practices for a Successful Retirement: A Case Study

How To Check For Differences In The One Way Anova

NCC5010: Data Analytics and Modeling Spring 2015 Practice Exemption Exam

Descriptive Statistics

Objectives. 6.1, 7.1 Estimating with confidence (CIS: Chapter 10) CI)

Stat 411/511 THE RANDOMIZATION TEST. Charlotte Wickham. stat511.cwick.co.nz. Oct

Terms concerned with internal quality control procedures

HYPOTHESIS TESTING (ONE SAMPLE) - CHAPTER 7 1. used confidence intervals to answer questions such as...

Roadmap to Data Analysis. Introduction to the Series, and I. Introduction to Statistical Thinking-A (Very) Short Introductory Course for Agencies

Information Technology Services will be updating the mark sense test scoring hardware and software on Monday, May 18, We will continue to score

The Normal distribution

1) The table lists the smoking habits of a group of college students. Answer: 0.218

Capital Market Theory: An Overview. Return Measures

Getting Started with Statistics. Out of Control! ID: 10137

A Basic Guide to Analyzing Individual Scores Data with SPSS

Basic research methods. Basic research methods. Question: BRM.2. Question: BRM.1

Confidence Intervals

Exact Confidence Intervals

Experimental Design. Power and Sample Size Determination. Proportions. Proportions. Confidence Interval for p. The Binomial Test

INTERNATIONAL STANDARD ON AUDITING 530 AUDIT SAMPLING AND OTHER MEANS OF TESTING CONTENTS

Statistical & Technical Team

Sample Size Issues for Conjoint Analysis

Example: Find the expected value of the random variable X. X P(X)

Relationships Between Two Variables: Scatterplots and Correlation

Lecture Notes Module 1

Data Mining Techniques Chapter 5: The Lure of Statistics: Data Mining Using Familiar Tools

Stats on the TI 83 and TI 84 Calculator

STA-201-TE. 5. Measures of relationship: correlation (5%) Correlation coefficient; Pearson r; correlation and causation; proportion of common variance

Introduction to Hypothesis Testing OPRE 6301

QUANTITATIVE METHODS BIOLOGY FINAL HONOUR SCHOOL NON-PARAMETRIC TESTS

STATISTICS 8: CHAPTERS 7 TO 10, SAMPLE MULTIPLE CHOICE QUESTIONS

Fairfield Public Schools

Chapter Study Guide. Chapter 11 Confidence Intervals and Hypothesis Testing for Means

Welcome back to EDFR I m Jeff Oescher, and I ll be discussing quantitative research design with you for the next several lessons.

Lecture 8. Confidence intervals and the central limit theorem

Solution to HW - 1. Problem 1. [Points = 3] In September, Chapel Hill s daily high temperature has a mean

Analysis of academy school performance in GCSEs 2014

Transcription:

8.2 Confidence Intervals for One Population Mean When σ is Known Tom Lewis Fall Term 2009 8.2 Confidence Intervals for One Population Mean When σ isfall Known Term 2009 1 / 6

Outline 1 An example 2 Finding general confidence intervals 8.2 Confidence Intervals for One Population Mean When σ isfall Known Term 2009 2 / 6

An example A sample calculation The following data is drawn from a normal population with mean µ and standard deviation σ = 4. Find a 75% confidence interval. In other words, find an interval such that the chance that the true mean falls outside of it has chance.25. 46.98 53.13 43.11 50.23 53.47 50.58 52.29 45.94 55.09 49.86 53.55 42.89 51.95 52.81 50.54 48.50 54.28 50.80 49.66 51.94 51.62 55.60 43.65 47.74 48.21 8.2 Confidence Intervals for One Population Mean When σ isfall Known Term 2009 3 / 6

General confidence intervals Assume that you have collected a simple random sample from a normal population or you have collected a large sample and that the population standard deviation, σ, is known. To find a 1 α confidence interval for a population mean, µ, 8.2 Confidence Intervals for One Population Mean When σ isfall Known Term 2009 4 / 6

General confidence intervals Assume that you have collected a simple random sample from a normal population or you have collected a large sample and that the population standard deviation, σ, is known. To find a 1 α confidence interval for a population mean, µ, calculate the mean, x; 8.2 Confidence Intervals for One Population Mean When σ isfall Known Term 2009 4 / 6

General confidence intervals Assume that you have collected a simple random sample from a normal population or you have collected a large sample and that the population standard deviation, σ, is known. To find a 1 α confidence interval for a population mean, µ, calculate the mean, x; find z α/2 ; 8.2 Confidence Intervals for One Population Mean When σ isfall Known Term 2009 4 / 6

General confidence intervals Assume that you have collected a simple random sample from a normal population or you have collected a large sample and that the population standard deviation, σ, is known. To find a 1 α confidence interval for a population mean, µ, calculate the mean, x; find z α/2 ; identify the confidence interval, [x z α/2 σ n, x + z α/2 σ n ] ; and, finally, 8.2 Confidence Intervals for One Population Mean When σ isfall Known Term 2009 4 / 6

General confidence intervals Assume that you have collected a simple random sample from a normal population or you have collected a large sample and that the population standard deviation, σ, is known. To find a 1 α confidence interval for a population mean, µ, calculate the mean, x; find z α/2 ; identify the confidence interval, [x z α/2 σ n, x + z α/2 σ n ] ; and, finally, interpret the confidence interval: with probability 1 α, the true mean, µ, lies within the given interval. 8.2 Confidence Intervals for One Population Mean When σ isfall Known Term 2009 4 / 6

Problem In each of the following, use the data set from the first slide. 8.2 Confidence Intervals for One Population Mean When σ isfall Known Term 2009 5 / 6

Problem In each of the following, use the data set from the first slide. Find a 90% confidence interval for the data set. 8.2 Confidence Intervals for One Population Mean When σ isfall Known Term 2009 5 / 6

Problem In each of the following, use the data set from the first slide. Find a 90% confidence interval for the data set. Find an 80% confidence interval for the data set. 8.2 Confidence Intervals for One Population Mean When σ isfall Known Term 2009 5 / 6

Problem In each of the following, use the data set from the first slide. Find a 90% confidence interval for the data set. Find an 80% confidence interval for the data set. Precision and Confidence To gain precision, that is, to make the confidence interval more narrow you must either 8.2 Confidence Intervals for One Population Mean When σ isfall Known Term 2009 5 / 6

Problem In each of the following, use the data set from the first slide. Find a 90% confidence interval for the data set. Find an 80% confidence interval for the data set. Precision and Confidence To gain precision, that is, to make the confidence interval more narrow you must either decrease your confidence level (say from 90% to 60%) or 8.2 Confidence Intervals for One Population Mean When σ isfall Known Term 2009 5 / 6

Problem In each of the following, use the data set from the first slide. Find a 90% confidence interval for the data set. Find an 80% confidence interval for the data set. Precision and Confidence To gain precision, that is, to make the confidence interval more narrow you must either decrease your confidence level (say from 90% to 60%) or increase the size of your random sample. 8.2 Confidence Intervals for One Population Mean When σ isfall Known Term 2009 5 / 6

Problem You want to estimate the mean of a normal population with a standard deviation of σ = 5 using a confidence interval of length 1. What size of random sample should you collect in order to have 90% confidence that the true mean lands within this interval? 8.2 Confidence Intervals for One Population Mean When σ isfall Known Term 2009 6 / 6