Biostatistics Chapter Homework Calculations (Please show working/calculations) 1. A study is conducted to assess the impact of caffeine consumption and smoking. If 30% of the population smoke and...

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Biostatistics Chapter Homework Calculations (Please show working/calculations) 1. A study is conducted to assess the impact of caffeine consumption and smoking. If 30% of the population smoke and drink coffee, what is the probability that 5 of the participants both smoke and drink coffee? 2. If 30% of the population smoke and drink coffee, what is the probability that less than 3 of the participants both smoke and drink coffee? The next five questions refer to the table below, a study in which 5,750 people were administered a screening test, of which 300 had the disease and received a positive test. 3. What is the sensitivity of the test? 4. What is the specificity of the test ? 5. What is the positive predictive value? 6. What is the negative predictive value? 7. What proportion of the patients tested positive? 8. In a sample of 10 subjects surveyed on the number of soft drinks consumed in a week, I obtained a mean of 7.2 with a standard deviation of 1.62 . What are the 95% Confidence limits ? 9. Of 5,800 female college students, the HPV vaccine had been administered to 1,300. Give the proportion who received the vaccine and the 95% confidence limits. 10. The 95% confidence limits for the Relative Risk of heart disease for individuals who are obese compared to non-obese individuals is (1.21, 6.91) Is there a relationship between heart disease and obesity? Explain your answer. 11. The 95% confidence limits of the odds ratio for alcohol use and miscarriage are (2.89, 30.23). In the population there is likely: a. No relationship between alcohol use and miscarriage b. A very small relationship between alcohol use and miscarriage c. A substantial relationship between alcohol use and miscarriage 12. Explain your answer to problem 14. Essentials of Biostatistics in Public Health Lisa M. Sullivan, PhD Professor of Biostatistics Associate Dean for Education Boston University School of Public Health Boston, Massachusetts Essentials of Biostatistics in Public Health Third Edition World Headquarters Jones & Bartlett Learning 5 Wall Street Burlington, MA 01803 978-443-5000 [email protected] www.jblearning.com Jones & Bartlett Learning books and products are available through most bookstores and online booksellers. To contact Jones & Bartlett Learning directly, call 800-832-0034, fax 978-443-8000, or visit our website, www.jblearning.com. Substantial discounts on bulk quantities of Jones & Bartlett Learning publications are available to corporations, professional associations, and other qualified organizations. For details and specific discount information, contact the special sales department at Jones & Bartlett Learning via the above contact information or send an email to [email protected]. 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Cella Publisher: Michael Brown Associate Editor: Lindsey M. Sousa Senior Production Editor: Amanda Clerkin Senior Marketing Manager: Sophie Fleck Teague Manufacturing and Inventory Control Supervisor: Amy Bacus Composition: Integra Software Services Pvt. Ltd. Cover Design: Scott Moden Rights & Media Specialist: Wes DeShano Media Development Editor: Shannon Sheehan Cover Image: © Sergey Nivens/Shutterstock Printing and Binding: Edwards Brothers Malloy Cover Printing: Edwards Brothers Malloy Library of Congress Cataloging-in-Publication Data Names: Sullivan, Lisa M. (Lisa Marie), 1961-author. Title: Essentials of biostatistics in public health / Lisa Sullivan. Description: Third edition. | Burlington, Massachusetts : Jones & Bartlett Learning, [2018] | Includes bibliographical references and index. Identifiers: LCCN 2016048158 | ISBN 9781284108194 Subjects: | MESH: Biostatistics—methods | Biometry—methods | Public Health—methods Classification: LCC RA409 | NLM WA 950 | DDC 610.72—dc23 LC record available at https://lccn.loc.gov/2016048158 6048 Printed in the United States of America 21 20 19 18 17 10 9 8 7 6 5 4 3 2 1 Acknowledgments vii Preface ix Prologue xi About the Author xiii Chapter 1 Introduction 1 1.1 What Is Biostatistics? 2 1.2 What Are the Issues? 2 1.3 Summary 4 Chapter 2 Study Designs 7 2.1 Vocabulary 8 2.2 Observational Study Designs 9 2.3 Randomized Study Designs 14 2.4 The Framingham Heart Study 17 2.5 More on Clinical Trials 18 2.6 Sample Size Implications 20 2.7 Summary 20 2.8 Practice Problems 20 Chapter 3 Quantifying the Extent of Disease 23 3.1 Prevalence 24 3.2 Incidence 24 3.3 Relationships Between Prevalence and Incidence 27 3.4 Comparing the Extent of Disease Between Groups 27 3.5 Summary 30 3.6 Practice Problems 30 Contents Contentsiv Chapter 4 Summarizing Data Collected in the Sample 35 4.1 Dichotomous Variables 37 4.2 Ordinal and Categorical Variables 41 4.3 Continuous Variables 50 4.4 Summary 61 4.5 Practice Problems 63 Chapter 5 The Role of Probability 67 5.1 Sampling 68 5.2 Basic Concepts 70 5.3 Conditional Probability 71 5.4 Independence 74 5.5 Bayes’ Theorem 74 5.6 Probability Models 75 5.7 Summary 96 5.8 Practice Problems 97 Chapter 6 Confidence Interval Estimates 101 6.1 Introduction to Estimation 102 6.2 Confidence Intervals for One Sample, Continuous Outcome 104 6.3 Confidence Intervals for One Sample, Dichotomous Outcome 105 6.4 Confidence Intervals for Two Independent Samples, Continuous Outcome 107 6.5 Confidence Intervals for Matched Samples, Continuous Outcome 110 6.6 Confidence Intervals for Two Independent Samples, Dichotomous Outcome 114 6.7 Summary 119 6.8 Practice Problems 120 Chapter 7 Hypothesis Testing Procedures 123 7.1 Introduction to Hypothesis Testing 124 7.2 Tests with One Sample, Continuous Outcome 131 7.3 Tests with One Sample, Dichotomous Outcome 133 7.4 Tests with One Sample, Categorical and Ordinal Outcomes 135 7.5 Tests with Two Independent Samples, Continuous Outcome 139 7.6 Tests with Matched Samples, Continuous Outcome 142 7.7 Tests with Two Independent Samples, Dichotomous Outcome 145 7.8 Tests with More Than Two Independent Samples, Continuous Outcome 149 7.9 Tests for Two or More Independent Samples, Categorical and Ordinal Outcomes 157 7.10 Summary 163 7.11 Practice Problems 164 Chapter 8 Power and Sample Size Determination 171 8.1 Issues in Estimating Sample Size for Confidence Intervals Estimates 172 8.2 Issues in Estimating Sample Size for Hypothesis Testing 179 8.3 Summary 188 8.4 Practice Problems 188 Chapter 9 Multivariable Methods 193 9.1 Confounding and Effect Modification 195 9.2 The Cochran–Mantel–Haenszel Method 201 9.3 Introduction to Correlation and Regression Analysis 203 9.4 Multiple Linear Regression Analysis 212 9.5 Multiple Logistic Regression Analysis 216 9.6 Summary 219 9.7 Practice Problems 219 Chapter 10 Nonparametric Tests 223 10.1 Introduction to Nonparametric Testing 226 10.2 Tests with Two Independent Samples 227 10.3 Tests with Matched Samples 232 10.4 Tests with More Than Two Independent Samples 241 10.5 Summary 245 10.6 Practice Problems 246 Chapter 11 Survival Analysis 249 11.1 Introduction to Survival Data 252 11.2 Estimating the Survival Function 253 11.3 Comparing Survival Curves 261 11.4 Cox Proportional Hazards Regression Analysis 267 11.5 Extensions 271 11.6 Summary 272 11.7 Practice Problems 273 Chapter 12 Data Visualization 279 12.1 Design Principles 280 12.2 When and How to Use Text, Tables, and Figures 281 12.3 Presenting Data and Statistical Results in Tables 285 12.4 Presenting Data and Statistical Results in Figures 295 12.5 Summary 328 12.6 Practice Problems 328 Appendix 333 Glossary 351 Index 361 Contents v I am very grateful to Dr. Richard Riegelman for his unending energy and enthusiasm for this project. I thank my family for their encouragement; Casey, Ryan, Aislinn, Abbi, and Gavin for their inspiration; most especially, Kimberly Dukes and Kevin Green for
Answered Same DayNov 04, 2021

Answer To: Biostatistics Chapter Homework Calculations (Please show working/calculations) 1. A study is...

Pooja answered on Nov 04 2021
121 Votes
Biostatistics
Chapter Homework Calculations
(Please show working/calculations)
1. A study is conducte
d to assess the impact of caffeine consumption and smoking. If 30% of the population smoke and drink coffee, what is the probability that 5 of the participants both smoke and drink coffee?
taking smaple size as 8
P(X=5)
=BINOM.DIST(5,8,0.3,FALSE)
=0.04667544
2. If 30% of the population smoke and drink coffee, what is the probability that less than 3 of the participants both smoke and drink coffee?
P(X<3)
=P(X<=2)
=BINOM.DIST(2,8,0.3,TRUE)
=0.5518
The next five questions refer to the table below, a study in which 5,750 people were administered a screening test, of which 300 had the disease and received a positive test.
3. What is the sensitivity of the test?
4. What is the specificity of the test ?
5. What is the positive predictive value?
6. What is the negative predictive value?
7. What proportion of the patients tested positive?
By using the given table:
True positives (TP) = 300
True negative (TN) =...
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