Successful HE applicants. Information sheet A Number of applicants. Gender Applicants Accepts Applicants Accepts. Age. Domicile

Similar documents
Chapter 20. Comparing Two Proportions. BPS - 5th Ed. Chapter 20 1

Common Large/Small Sample Tests 1/55

BIOS 4110: Introduction to Biostatistics. Breheny. Lab #9

Overview. p 2. Chapter 9. Pooled Estimate of. q = 1 p. Notation for Two Proportions. Inferences about Two Proportions. Assumptions

Recall the study where we estimated the difference between mean systolic blood pressure levels of users of oral contraceptives and non-users, x - y.

Chapter 22: What is a Test of Significance?

MOST PEOPLE WOULD RATHER LIVE WITH A PROBLEM THEY CAN'T SOLVE, THAN ACCEPT A SOLUTION THEY CAN'T UNDERSTAND.

Chapter 22. Comparing Two Proportions. Copyright 2010, 2007, 2004 Pearson Education, Inc.

Chapter 13: Tests of Hypothesis Section 13.1 Introduction

Sample Size Determination (Two or More Samples)

- E < p. ˆ p q ˆ E = q ˆ = 1 - p ˆ = sample proportion of x failures in a sample size of n. where. x n sample proportion. population proportion

LESSON 20: HYPOTHESIS TESTING

HYPOTHESIS TESTS FOR ONE POPULATION MEAN WORKSHEET MTH 1210, FALL 2018

Y i n. i=1. = 1 [number of successes] number of successes = n

Section 9.2. Tests About a Population Proportion 12/17/2014. Carrying Out a Significance Test H A N T. Parameters & Hypothesis

Math 140 Introductory Statistics

Stat 200 -Testing Summary Page 1

MA238 Assignment 4 Solutions (part a)

1036: Probability & Statistics

Sampling Distributions, Z-Tests, Power

Chapter 22. Comparing Two Proportions. Copyright 2010 Pearson Education, Inc.

MIT : Quantitative Reasoning and Statistical Methods for Planning I

A Statistical hypothesis is a conjecture about a population parameter. This conjecture may or may not be true. The null hypothesis, symbolized by H

Final Examination Solutions 17/6/2010

Econ 371 Exam #1. Multiple Choice (5 points each): For each of the following, select the single most appropriate option to complete the statement.

A quick activity - Central Limit Theorem and Proportions. Lecture 21: Testing Proportions. Results from the GSS. Statistics and the General Population

Hypothesis Testing (2) Barrow, Statistics for Economics, Accounting and Business Studies, 4 th edition Pearson Education Limited 2006

Chapter 5: Hypothesis testing

Chapter 1 (Definitions)

Statistics. Chapter 10 Two-Sample Tests. Copyright 2013 Pearson Education, Inc. publishing as Prentice Hall. Chap 10-1

Agreement of CI and HT. Lecture 13 - Tests of Proportions. Example - Waiting Times

Introduction to Econometrics (3 rd Updated Edition) Solutions to Odd- Numbered End- of- Chapter Exercises: Chapter 3

STA Learning Objectives. Population Proportions. Module 10 Comparing Two Proportions. Upon completing this module, you should be able to:

This chapter focuses on two experimental designs that are crucial to comparative studies: (1) independent samples and (2) matched pair samples.

Read through these prior to coming to the test and follow them when you take your test.

Math 152. Rumbos Fall Solutions to Review Problems for Exam #2. Number of Heads Frequency

Notes on Hypothesis Testing, Type I and Type II Errors

University of California, Los Angeles Department of Statistics. Hypothesis testing

Chapter 11: Asking and Answering Questions About the Difference of Two Proportions

Data Analysis and Statistical Methods Statistics 651

Frequentist Inference

If, for instance, we were required to test whether the population mean μ could be equal to a certain value μ

Worksheet 23 ( ) Introduction to Simple Linear Regression (continued)

Chapter 23: Inferences About Means

Properties and Hypothesis Testing

Lecture 5: Parametric Hypothesis Testing: Comparing Means. GENOME 560, Spring 2016 Doug Fowler, GS

Class 23. Daniel B. Rowe, Ph.D. Department of Mathematics, Statistics, and Computer Science. Marquette University MATH 1700

Chapter 13, Part A Analysis of Variance and Experimental Design

PSYCHOLOGICAL RESEARCH (PYC 304-C) Lecture 9

April 18, 2017 CONFIDENCE INTERVALS AND HYPOTHESIS TESTING, UNDERGRADUATE MATH 526 STYLE

1 Constructing and Interpreting a Confidence Interval

ST 305: Exam 3 ( ) = P(A)P(B A) ( ) = P(A) + P(B) ( ) = 1 P( A) ( ) = P(A) P(B) σ X 2 = σ a+bx. σ ˆp. σ X +Y. σ X Y. σ X. σ Y. σ n.

Class 27. Daniel B. Rowe, Ph.D. Department of Mathematics, Statistics, and Computer Science. Marquette University MATH 1700

Mathematical Notation Math Introduction to Applied Statistics

a.) If random samples of size n=16 are selected, can we say anything about the x~ distribution of sample means?

STATISTICAL INFERENCE

Working with Two Populations. Comparing Two Means

Comparing Two Populations. Topic 15 - Two Sample Inference I. Comparing Two Means. Comparing Two Pop Means. Background Reading

Chapter two: Hypothesis testing

UNIVERSITY OF TORONTO Faculty of Arts and Science APRIL/MAY 2009 EXAMINATIONS ECO220Y1Y PART 1 OF 2 SOLUTIONS

Topic 18: Composite Hypotheses

z is the upper tail critical value from the normal distribution

1 Constructing and Interpreting a Confidence Interval

Lecture 9: Independent Groups & Repeated Measures t-test

Pearson Edexcel Level 3 Advanced Subsidiary and Advanced GCE in Statistics

Continuous Data that can take on any real number (time/length) based on sample data. Categorical data can only be named or categorised

Chapter 4 Tests of Hypothesis

Class 27. Daniel B. Rowe, Ph.D. Department of Mathematics, Statistics, and Computer Science. Marquette University MATH 1700

Mathacle. PSet Stats, Concepts In Statistics Level Number Name: Date: Confidence Interval Guesswork with Confidence

Mathacle. PSet Stats, Concepts In Statistics Level Number Name: Date:

This is an introductory course in Analysis of Variance and Design of Experiments.

Confidence Intervals for the Population Proportion p

1 Inferential Methods for Correlation and Regression Analysis

Homework 5 Solutions

2 1. The r.s., of size n2, from population 2 will be. 2 and 2. 2) The two populations are independent. This implies that all of the n1 n2

6 Sample Size Calculations

Because it tests for differences between multiple pairs of means in one test, it is called an omnibus test.

Midterm 2 ECO3151. Winter 2012

Stat 400: Georgios Fellouris Homework 5 Due: Friday 24 th, 2017

Statistics 20: Final Exam Solutions Summer Session 2007

STAC51: Categorical data Analysis

Hypothesis Testing. Evaluation of Performance of Learned h. Issues. Trade-off Between Bias and Variance

3/3/2014. CDS M Phil Econometrics. Types of Relationships. Types of Relationships. Types of Relationships. Vijayamohanan Pillai N.

Statistical inference: example 1. Inferential Statistics

Comparing your lab results with the others by one-way ANOVA

Chapter 8: Estimating with Confidence

Mann Whitney U test as applied to the change in the mathematics exam method in Sudan" Case study of south Darfur state"

FACULTY OF MATHEMATICAL STUDIES MATHEMATICS FOR PART I ENGINEERING. Lectures

Sampling Error. Chapter 6 Student Lecture Notes 6-1. Business Statistics: A Decision-Making Approach, 6e. Chapter Goals

Regression, Inference, and Model Building

Statistical Inference About Means and Proportions With Two Populations

Expectation and Variance of a random variable

Example: Find the SD of the set {x j } = {2, 4, 5, 8, 5, 11, 7}.

CONFIDENCE INTERVALS STUDY GUIDE

1 Models for Matched Pairs

INSTRUCTIONS (A) 1.22 (B) 0.74 (C) 4.93 (D) 1.18 (E) 2.43

Good luck! School of Business and Economics. Business Statistics E_BK1_BS / E_IBA1_BS. Date: 25 May, Time: 12:00. Calculator allowed:

UCLA STAT 110B Applied Statistics for Engineering and the Sciences

Samples from Normal Populations with Known Variances

STAT 350 Handout 19 Sampling Distribution, Central Limit Theorem (6.6)

Transcription:

Successful HE applicats Sigificace tests use data from samples to test hypotheses. You will use data o successful applicatios for courses i higher educatio to aswer questios about proportios, for example, to test whether equal proportios of male ad female applicats are accepted. Iformatio sheet A Number of applicats The simulated data give below give the total umber of applicats for courses of higher educatio at a sample of uiversities ad colleges. Actual data ca be accessed from the UCAS website www.ucas.co.uk. Geder 2000 2010 Geder Applicats Accepts Applicats Accepts Male 35,117 5,273 45,455 7,062 Female 37,785 5,521 54,030 8,353 Age Number accepted Age 2000 2010 18 ad uder 5,821 7,614 19 2,727 4,028 20 859 1,433 21 401 653 22 248 405 23 126 256 24 86 164 25-29 253 476 30-39 201 284 40 ad over 72 102 Total 10,794 15,415 Domicile 2000 2010 Domicile Applicatios Accepts Applicatios Accepts UK 67,699 10,220 90,540 14,053 EU(ot UK) 1,856 191 3,297 407 No EU 3,347 383 5,648 955 Total 72,902 10,794 99,485 15,415 Nuffield Free-Stadig Mathematics Activity Successful HE applicats Studet sheets Copiable page 1 of 6

Iformatio sheet B Testig a proportio Distributio of a sample proportio If large samples of sie are take from a populatio i which there are a proportio p with a certai attribute, the the distributio of sample proportios, p s, is approximately ormal with mea p ad stadard deviatio where q = 1 p. Why is it importat that samples are large? stadard deviatio Mea p p s Summary of method for testig a proportio To test whether the proportio of a populatio has a value p: Null Hypothesis H 0 : populatio proportio, p = value suggested Alterative Hypothesis H 1 : p value suggested (two-tail test) or p < value suggested or p > value suggested (oe-tail test) Test statistic = p s p where p s is the proportio i a sample of sie ad q = 1 p Compare the test statistic with critical values of. Explai the formula for the test statistic. Critical values: Test type Sigificace level Critical values oe-tail test 5% 1.65 or 1.65 5% 95% 1% 2.33 or 2.33 1.65 0 95% two-tail test 5% 1.96 1% 2.58 1.96 0 1.96 If the test statistic is i the critical regio (that is, a tail of the distributio), reject the ull hypothesis i favour of the alterative. If the test statistic is ot i the critical regio, accept the ull hypothesis. Nuffield Free-Stadig Mathematics Activity Successful HE applicats Studet sheets Copiable page 2 of 6

Testig a proportio: Example I 2010, a ewspaper article said that the proportio of people accepted o higher educatio courses who were over 20 years old had reached 16%. Usig 2010 data to test this percetage: H 0 : populatio proportio, p = 0.16 H 1 : p <0.16 (oe-tail test) Why is a oe-tail test used here rather tha a two-tail test? Test statistic = p s p where p = 0.16 ad q = 1 0.16 = 0.84 From the 2010 data, p s = 2340 = 0.1518 ad = 15 415 15415 So = 0.1518 0.16 0.16 0.84 15415 = 2.77 For a oe-tail 1% sigificace test, the critical value is 2.33. The test statistic is i the critical regio (less tha the critical value). 1% 99% The result is sigificat at the 1% level. 2.77 2.33 0 So reject the ull hypothesis ad accept the alterative. The test has provided strog evidece that the proportio of people accepted o higher educatio courses who were over 20 years old had ot reached 16%. Explai the reasoig behid this coclusio. Nuffield Free-Stadig Mathematics Activity Successful HE applicats Studet sheets Copiable page 3 of 6

Iformatio sheet C Testig the differece betwee proportios Summary of method for testig the differece betwee proportios To test the differece betwee proportios: Null hypothesis, H 0 : p A = p B ( p A p B = 0) Alterative hypothesis, H 1 : p A p B (two-tail test) p A < p B (oe-tail test) p A > p B (oe-tail test) The test statistic is = p SA p SB 1 1 A B where p SA ad p SB are the proportios from samples of sie A ad B. p, the best estimate of the populatio proportio, is calculated from: p = Totalumberof itemswithattribute Totalumberof itemsisamples Explai the formula for the test statistic. ad q = 1 p Compare the test statistic with critical values of. Critical values: Test type Sigificace level Critical values oe-tail test 5% 1.65 or 1.65 1% 2.33 or 2.33 two-tail test 5% 1.96 1% 2.58 If the test statistic is i the critical regio, reject the ull hypothesis i favour of the alterative. If the test statistic is ot i the critical regio, accept the ull hypothesis. Nuffield Free-Stadig Mathematics Activity Successful HE applicats Studet sheets Copiable page 4 of 6

Testig the differece betwee proportios: Example Usig 2010 data to test whether the proportio of males that were accepted is equal to the proportio of females that were accepted: H 0 : p M = p F (p M p F = 0) H 1 : p M p F (two-tail test) The test statistic is = p SM 1 p M SF 1 F I the 2010 sample, 7062 out of 45 455 applicatios from males were accepted, ad 8353 out of 54 030 applicatios from females were accepted. 7062 So p SM = = 0.155 362, p 45455 SF = M = 45 455 ad F = 54 030 8353 = 0.154 599, 54 030 p, the best estimate of the populatio proportio, is calculated from p = 7062 8353 = 0.154 948 ad q = 1 0.154 948 = 0.845 052 45455 54 030 Usig these values, the test statistic is give by: = 0.155362 0.154 599 0.154 948 0.845052 1 45455 1 54 030 = 0.331 For a two-tail test at the 5% level, the critical values of are 1.96, so this value of is ot sigificat at the 5% level. 95% 1.96 0 0.331 1.96 There is o sigificat differece betwee the proportio of males that were accepted ad the proportio of females that were accepted. Explai the reasoig behid this coclusio. Nuffield Free-Stadig Mathematics Activity Successful HE applicats Studet sheets Copiable page 5 of 6

Try this 1 Cosider the data o Iformatio sheet A. Write a list of hypotheses you thik could be tested usig these data. 2 Choose some of the hypotheses you have listed i questio 1. Carry out sigificace tests o these hypotheses. At least oe of your tests should be of a proportio. At least oe of your tests should be of the differece betwee proportios. Reflect o your work What are the mea ad stadard deviatio of the distributio of a sample proportio? Describe the steps i a sigificace test for a proportio. Describe the steps i a sigificace test for the differece betwee proportios. Whe should you use a oe-tail test ad whe a two-tail test? Would you be more cofidet i a sigificat result from a 5% sigificace test or a 1% sigificace test? Explai why. Nuffield Free-Stadig Mathematics Activity Successful HE applicats Studet sheets Copiable page 6 of 6