Standard deviation The formula for the best estimate of the population standard deviation from a sample is:

Similar documents
How is the President Doing? Sampling Distribution for the Mean. Now we move toward inference. Bush Approval Ratings, Week of July 7, 2003

Chapter 21. Recall from previous chapters: Statistical Thinking. Chapter What Is a Confidence Interval? Review: empirical rule

5/7/2014. Standard Error. The Sampling Distribution of the Sample Mean. Example: How Much Do Mean Sales Vary From Week to Week?

Concepts Module 7: Comparing Datasets and Comparing a Dataset with a Standard

Sec 7.6 Inferences & Conclusions From Data Central Limit Theorem

Objectives. Sampling Distributions. Overview. Learning Objectives. Statistical Inference. Distribution of Sample Mean. Central Limit Theorem

Review for Chapter 9

Statistics 11 Lecture 18 Sampling Distributions (Chapter 6-2, 6-3) 1. Definitions again

Measures of Spread: Standard Deviation

Objectives. Types of Statistical Inference. Statistical Inference. Chapter 19 Confidence intervals: Estimating with confidence

Statistics for Managers Using Microsoft Excel Chapter 7 Confidence Interval Estimation

Estimation and Confidence Intervals

Sampling Distributions and Confidence Intervals

Appendix C: Concepts in Statistics

Chapter 8 Descriptive Statistics

Sample Size Determination

Lecture Outline. BIOST 514/517 Biostatistics I / Applied Biostatistics I. Paradigm of Statistics. Inferential Statistic.

Statistics Lecture 13 Sampling Distributions (Chapter 18) fe1. Definitions again

23.3 Sampling Distributions

Statistical Analysis and Graphing

Chapter 8 Student Lecture Notes 8-1

Intro to Scientific Analysis (BIO 100) THE t-test. Plant Height (m)

CHAPTER 8 ANSWERS. Copyright 2012 Pearson Education, Inc. Publishing as Addison-Wesley

Caribbean Examinations Council Secondary Education Certificate School Based Assessment Additional Math Project

Technical Assistance Document Algebra I Standard of Learning A.9

DISTRIBUTION AND PROPERTIES OF SPERMATOZOA IN DIFFERENT FRACTIONS OF SPLIT EJACULATES*

Plantar Pressure Difference: Decision Criteria of Motor Relearning Feedback Insole for Hemiplegic Patients

EDEXCEL NATIONAL CERTIFICATE UNIT 28 FURTHER MATHEMATICS FOR TECHNICIANS OUTCOME 1- ALGEBRAIC TECHNIQUES TUTORIAL 3 - STATISTICAL TECHNIQUES

Modified Early Warning Score Effect in the ICU Patient Population

Chapter 23 Summary Inferences about Means

5.1 Description of characteristics of population Bivariate analysis Stratified analysis

Autism Awareness Education. April 2018

Measuring Dispersion

Should We Care How Long to Publish? Investigating the Correlation between Publishing Delay and Journal Impact Factor 1

Primary: To assess the change on the subject s quality of life between diagnosis and the first 3 months of treatment.

Chapter 18 - Inference about Means

Estimating Means with Confidence

GSK Medicine Study Number: Title: Rationale: Study Period: Objectives: Primary Secondary Indication: Study Investigators/Centers: Research Methods

A Supplement to Improved Likelihood Inferences for Weibull Regression Model by Yan Shen and Zhenlin Yang

Lecture 18b: Practice problems for Two-Sample Hypothesis Test of Means

Practical Basics of Statistical Analysis

Confidence Intervals and Point Estimation

GSK Medicine: Study Number: Title: Rationale: Study Period: Objectives: Indication: Study Investigators/Centers: Research Methods:

Reporting Checklist for Nature Neuroscience

Chapter 7 - Hypothesis Tests Applied to Means

JUST THE MATHS UNIT NUMBER STATISTICS 3 (Measures of dispersion (or scatter)) A.J.Hobson

GOALS. Describing Data: Numerical Measures. Why a Numeric Approach? Concepts & Goals. Characteristics of the Mean. Graphic of the Arithmetic Mean

Methodology CHAPTER OUTLINE

Research on the effects of aerobics on promoting the psychological development of students based on SPSS statistical analysis

Chapter 7 - Hypothesis Tests Applied to Means

Comparison of speed and accuracy between manual and computer-aided measurements of dental arch and jaw arch lengths in study model casts

The Suicide Note: Do unemployment rates affect suicide rates? Author: Sarah Choi. Course: A World View of Math and Data Analysis

Raising Healthy Kids: Colostrum Management and Prevention of Failure of Passive Transfer

Chem 135: First Midterm

Study No.: Title: Rationale: Phase: Study Period: Study Design: Centres: Indication: Treatment: Objectives: Primary Outcome/Efficacy Variable:

RADIESSE Dermal Filler for the Correction of Moderate to Severe Facial Wrinkles and Folds, Such As Nasolabial Folds

Retention in HIV care among a commercially insured population,

Randomised controlled trial of a brief alcohol intervention in a general hospital setting

Chapter - 8 BLOOD PRESSURE CONTROL AND DYSLIPIDAEMIA IN PATIENTS ON DIALYSIS

ANALYZING ECOLOGICAL DATA

Ovarian Cancer Survival

CARDIOVASCULAR RISKS IN KAZAKH POPULATION IN XINJIANG PROVINCE OF CHINA

Minimum skills required by children to complete healthrelated quality of life instruments for asthma: comparison of measurement properties

Guidance on the use of the Title Consultant Psychologist

So... we make an error when we estimate

Introduction. The Journal of Nutrition Methodology and Mathematical Modeling

Repeatability of the Glaucoma Hemifield Test in Automated Perimetry

Children and adults with Attention-Deficit/Hyperactivity Disorder cannot move to the beat

Maximum Likelihood Estimation of Dietary Intake Distributions

Measuring the Ability to Identify One s Own Emotions: The Development and Initial Psychometric Evaluation of a Maximum-Performance Test

Hypertension in patients with diabetes is a well recognized

Certify your stroke care program. Tell your community you re ready when needed.

Previous studies have shown that the agestandardized

A Case Control Study of Risk Factors for Coronary Artery Disease in Pakistani Females

International Journal of Scientific & Engineering Research, Volume 5, Issue 2, February-2014 ISSN

A longitudinal study of self-assessment accuracy

Report on national survey - Germany March 2001

Supplemental Material can be found at: 9.DC1.html

The Efficiency of the Denver Developmental Screening Test with Rural Disadvantaged Preschool Children 1

HDV in Greenland. Henrik Krarup, MD, Phd Section of Molecular Diagnostics Aalborg University Hospital Denmark. Aalborg Hospital NORTH DENMARK REGION

MEMO. COMMISSION AGENDA: /l!1./y- 1f.Jtf. Members, Pinellas County Commission FROM: Karen Williams Seel, Chair Pinellas County Commission CC:

Simple intervention to improve detection of hepatitis B and hepatitis C in general practice

DEGRADATION OF PROTECTIVE GLOVE MATERIALS EXPOSED TO COMMERCIAL PRODUCTS: A COMPARATIVE STUDY OF TENSILE STRENGTH AND GRAVIMETRIC ANALYSES

Relationship between Established Breast Cancer Risk Factors and Risk of Seven Different Histologic Types of Invasive Breast Cancer

Quantitative Evaluation of Stress Corrosion Cracking Based on Features of Eddy Current Testing Signals

CURRENT ALCOHOL USE IS ASSOCIATED WITH A REDUCED RISK OF HOT FLASHES IN MIDLIFE WOMEN

Self-Reported Reasons Men Decide Not to Participate in Free Prostate Cancer Screening

Intimate partner violence and HIV in ten sub-saharan African countries: what do the Demographic and Health Surveys tell us?

Federated States of Micronesia (Chuuk) NCD Risk Factors STEPS REPORT

04/11/2014 YES* YES YES. Attitudes = Evaluation. Attitudes = Unique Cognitive Construct. Attitudes Predict Behaviour

LAB 4: Biological Membranes

STATISTICS. , the mean deviation about their mean x is given by. x x M.D (M) =

SMV Outpatient Zero Suicide Initiative Oct 14 to Dec 16

STATISTICAL ANALYSIS & ASTHMATIC PATIENTS IN SULAIMANIYAH GOVERNORATE IN THE TUBER-CLOSES CENTER

Methodology National Sports Survey SUMMARY

MEDICAL HOME: Inside: Feeling Blue about the Holidays? Disordered Eating

Department of Pediatrics, Leiden University Medical Center, P.O. Box 9600, 2300 RC, Leiden, The Netherlands

Performance Improvement in the Bivariate Models by using Modified Marginal Variance of Noisy Observations for Image-Denoising Applications

stop me or my friends!

The relationship between hypercholesterolemia as a risk factor for stroke and blood viscosity measured using Digital Microcapillary

Transcription:

Geder differeces Are there sigificat differeces betwee body measuremets take from male ad female childre? Do differeces emerge at particular ages? I this activity you will use athropometric data to carry out sigificace tests to aswer such questios. Iformatio sheet A Athropometric data Maufacturers of childre s clothig eed to cosider the body measuremets of boys ad girls. Toy maufacturers may also eed to cosider their weights. These body measuremets will deped o age ad sometimes geder. I some cases boys ad girls of the same age may be similar i size, but i other cases they may be differet. The spreadsheet cotais athropometric data collected for a 1977 study carried out i the USA by the Cosumer Product Safety Commissio (CPSC). The data icludes: weight (ewtos) stature (mm) head, chest ad waist circumfereces (mm) shoulder breadth (mm) had legth ad breadth (mm) foot legth ad breadth (mm) age (moths) The 'Male' ad 'Female' worksheets give data for males ad females sorted by age ad stature. Mea The mea of a sample ca be foud usig = or usig the spreadsheet formula AVERAGE. Stadard deviatio The formula for the best estimate of the populatio stadard deviatio from a sample is: σ - 1 = 1 The correspodig spreadsheet formula is STDEV. Nuffield Free-Stadig Mathematics Activity Geder differeces Studet sheets Copiable page 1 of 6 Nuffield Foudatio 01 dowloaded from www.fsmq.org

Iformatio sheet B Testig a mea Distributio of a sample mea Whe samples of size are take from a ormal populatio with mea μ ad stadard deviatio σ, the the sample mea, X, follows a ormal distributio with mea μ ad stadard deviatio. Mea μ stadard deviatio σ Distributio of Sample Mea Thik about Why is the stadard deviatio of the sample mea smaller? Summary of method for testig a mea To test whether the mea of a populatio has a value μ: Null hypothesis Alterative hypothesis H 0 : populatio mea, μ = value suggested Mea μ stadard deviatio H 1 : μ value suggested (two-tail test) or μ < value suggested or μ > value suggested (oe-tail test) σ Test statistic z = Thik about Eplai the formula for the test statistic. where is the sample mea, σ is the stadard deviatio ad is the size of the sample. If the stadard deviatio of the populatio is ot kow, the the best estimate from the sample, σ 1 is used istead (see page 1). Compare the test statistic with critical values of z. Critical values Test type Sigificace level Critical values 5% 95% oe-tail test 5% 1.65 or 1.65 1.65 0 z 1%.33 or.33 two-tail test 5% 1.96 1%.58 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..5% 1.96 0 95% 1.96.5% z Nuffield Free-Stadig Mathematics Activity Geder differeces Studet sheets Copiable page of 6 Nuffield Foudatio 01 dowloaded from www.fsmq.org

Testig a mea: T-shirt eample A clothig maufacturer desigs boys t-shirts for a chest circumferece of 540 mm. Is the mea for 4-year-old boys larger tha this? Usig data from the spreadsheet to test this mea: H 0 : populatio mea, μ = 540 mm H 1 : μ >540 mm (oe-tail test) Thik about Why is a oe-tail test used here rather tha a two-tail test? Test statistic z = with μ = 540 1 From the data, = 546.94355 ad = 14 So z = 546.94355 540 8.0743 14 =.75 For a oe-tail 1% sigificace test, the critical value is.33. The test statistic is i the critical regio (greater tha the critical value). 99% 1% The result is sigificat at the 1% level. 0.33.75 z So reject the ull hypothesis ad accept the alterative. The test has provided strog evidece that the mea chest circumferece of 4-year-old boys is more tha 540 mm. Thik about Eplai the reasoig behid this coclusio. Nuffield Free-Stadig Mathematics Activity Geder differeces Studet sheets Copiable page 3 of 6 Nuffield Foudatio 01 dowloaded from www.fsmq.org

Iformatio sheet C Testig the differece betwee meas Summary of method for testig the differece betwee meas To test the differece betwee meas: Null hypothesis, H 0 : μ A = μ B (μ A μ B = 0) Alterative hypothesis, H 1 : μ A μ B (two-tail test) μ A < μ B (oe-tail test) μ A > μ B (oe-tail test) The test statistic is z = A A B A B B where A ad B are the meas from samples of size A ad B. σ A ad σ B are stadard deviatios of the populatios. If these are ot kow, use the best estimates that ca be foud from the samples. Thik about Why are the variaces added i the formula for the test statistic? Compare the test statistic with critical values of z. Critical values: Test type Sigificace level Critical values oe-tail test 5% 1.65 or 1.65 1%.33 or.33 two-tail test 5% 1.96 1%.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 Geder differeces Studet sheets Copiable page 4 of 6 Nuffield Foudatio 01 dowloaded from www.fsmq.org

Testig the differece betwee meas: Had legth eample Usig data from the spreadsheet to test whether the had legths of -year-old boys are sigificatly differet from those of -year-old girls: H 0 : μ M = μ F (μ M μ F = 0) H 1 : μ M μ F (two-tail test) The test statistic is z = M ( 1) M ( 1) F M F F The table below gives the values calculated from the data o the spreadsheet: Geder Sample mea, Stadard deviatio, σ 1 Sample size, Male 103.5 mm 7.933 mm 5 Female 101 mm 5.1478 mm 49 Usig these values, the test statistic is: z = 103.5 101 7.933 5 5.1478 49 = 1.70 For a two-tail test at the 5% level, the critical values of z are 1.96, so this value of z is ot sigificat at the 5% level. 95%.5%.5% 1.96 0 1.7 1.96 z There is o sigificat differece betwee the had legths of -year-old boys ad girls. Thik about Eplai the reasoig behid this coclusio. Nuffield Free-Stadig Mathematics Activity Geder differeces Studet sheets Copiable page 5 of 6 Nuffield Foudatio 01 dowloaded from www.fsmq.org

Try these 1 Chest circumferece a A maufacturer assumes that the mea chest circumferece of 6-year-old boys ad the mea chest circumferece of 6-year-old girls are both 580 mm. Use the data i the spreadsheet to carry out hypothesis tests to decide whether the true meas are greater tha 580 mm. b Repeat part a to test whether the mea chest circumferece of 8-year-old boys ad the mea chest circumferece of 8-year-old girls are both 640 mm or greater tha this. Head circumferece a Use data from the spreadsheet to test whether there is ay differece betwee the mea head circumfereces of -year-old boys ad -year-old girls. b Repeat part a for oe other age group chose from: 4-year-olds, 8-year-olds, 10-year-olds, 16-year-olds 3 Differece betwee meas a Choose a body measuremet ad age group where you thik there will be a sigificat differece betwee boys ad girls. Use the data o the spreadsheet to test the differece betwee meas. b Choose a body measuremet ad age group where you thik there will ot be a sigificat differece betwee boys ad girls. Use the data o the spreadsheet to test the differece betwee meas. Reflect o your work What are the mea ad stadard deviatio of the distributio of a sample mea? Describe the steps i a sigificace test for a populatio mea. Describe the steps i a sigificace test for the differece betwee meas. 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? Eplai why. Nuffield Free-Stadig Mathematics Activity Geder differeces Studet sheets Copiable page 6 of 6 Nuffield Foudatio 01 dowloaded from www.fsmq.org