COMPLETE TEST BANK___ Biostatistics For The
Biological And Health Sciences 3rd Edition Author: Marc
Triola Mario Triola All Chapters Covered 100% Complete
A+ Study Guide Latest version
Page | 1
,Table of Contents
1. Introduction to Statistics
1-1 Statistical and Critical Thinking
1-2 Types of Data
1-3 Collecting Sample Data
1-4 Ethics in Statistics (download only)
2. Exploring Data with Tables and Graphs
2-1 Frequency Distributions for Organizing and Summarizing Data
2-2 Histograms
2-3 Graphs That Enlighten and Graphs That Deceive
2-4 Scatterplots, Correlation, and Regression
3. Describing, Exploring, and Comparing Data
3-1 Measures of Center
3-2 Measures of Variation
3-3 Measures of Relative Standing and Boxplots
4. Probability
4-1 Basic Concepts of Probability
4-2 Addition Rule and Multiplication Rule
4-3 Complements, Conditional Probability, and Bayes’ Theorem
4-4 Risks and Odds
4-5 Rates of Mortality, Fertility, and Morbidity
4-6 Counting
5. Discrete Probability Distributions
5-1 Probability Distributions
5-2 Binomial Probability Distributions
5-3 Poisson Probability Distributions
6. Normal Probability Distributions
6-1 The Standard Normal Distribution
6-2 Real Applications of Normal Distributions
6-3 Sampling Distributions and Estimators
6-4 The Central Limit Theorem
6-5 Assessing Normality
6-6 Normal as Approximation to Binomial (download only)
7. Estimating Parameters and Determining Sample Sizes
7-1 Estimating a Population Proportion
7-2 Estimating a Population Mean
7-3 Estimating a Population Standard Deviation or Variance
7-4 Bootstrapping: Using Technology for Estimates
8. Hypothesis Testing
8-1 Basics of Hypothesis Testing
8-2 Testing a Claim About a Proportion
Page | 2
,8-3 Testing a Claim About a Mean
8-4 Testing a Claim About a Standard Deviation or Variance
8-5 Resampling: Using Technology for Hypothesis Testing<
9. Inferences from Two Samples
9-1 Two Proportions
9-2 Two Means: Independent Samples
9-3 Matched Pairs
9-4 Two Variances or Standard Deviations
9-5 Resampling: Using Technology for Inferences
10. Correlation and Regression
10-1 Correlation
10-2 Regression
10-3 Prediction Intervals and Variation
10-4 Multiple Regression
10-5 Dummy Variables and Logistic Regression
11. Goodness-of-Fit and Contingency Tables
11-1 Goodness-of-Fit
11-2 Contingency Tables
12. Analysis of Variance
12-1 One-Way ANOVA
12-2 Two-Way ANOVA
13. Nonparametric Tests
13-1 Basics of Nonparametric Tests
13-2 Sign Test
13-3 Wilcoxon Signed-Ranks Test for Matched Pairs
13-4 Wilcoxon Rank-Sum Test for Two Independent Samples
13-5 Kruskal-Wallis Test for Three or More Samples
13-6 Rank Correlation
14. Survival Analysis
14-1 Life Tables
14-2 Kaplan-Meier Survival Analysis
Page | 3
, Chapter 1: Introduction to Statistics
1. Determine whether the given value is a statistic or a parameter: The average (mean) weight
of all newborns in a hospital over a month is 7.5 pounds.
• A. Statistic
• B.
Parameter Answer:
B
Rationale: Since it refers to the entire population of newborns in the hospital, it is a parameter.
2. Determine whether the given value is a statistic or a parameter: A survey of 100 patients
found that 60% were satisfied with their healthcare.
• A. Statistic
• B.
Parameter Answer:
A
Rationale: The value is based on a sample, making it a statistic.
3. Which of the following represents a population?
• A. A sample of 200 patients from a hospital
• B. All patients admitted to a hospital in 2023
• C. A group of patients selected for a study
• D. 50 diabetic patients from a
clinic Answer: B
Rationale: A population includes all members of a group, while a sample is a subset of the population.
Page | 4
Biological And Health Sciences 3rd Edition Author: Marc
Triola Mario Triola All Chapters Covered 100% Complete
A+ Study Guide Latest version
Page | 1
,Table of Contents
1. Introduction to Statistics
1-1 Statistical and Critical Thinking
1-2 Types of Data
1-3 Collecting Sample Data
1-4 Ethics in Statistics (download only)
2. Exploring Data with Tables and Graphs
2-1 Frequency Distributions for Organizing and Summarizing Data
2-2 Histograms
2-3 Graphs That Enlighten and Graphs That Deceive
2-4 Scatterplots, Correlation, and Regression
3. Describing, Exploring, and Comparing Data
3-1 Measures of Center
3-2 Measures of Variation
3-3 Measures of Relative Standing and Boxplots
4. Probability
4-1 Basic Concepts of Probability
4-2 Addition Rule and Multiplication Rule
4-3 Complements, Conditional Probability, and Bayes’ Theorem
4-4 Risks and Odds
4-5 Rates of Mortality, Fertility, and Morbidity
4-6 Counting
5. Discrete Probability Distributions
5-1 Probability Distributions
5-2 Binomial Probability Distributions
5-3 Poisson Probability Distributions
6. Normal Probability Distributions
6-1 The Standard Normal Distribution
6-2 Real Applications of Normal Distributions
6-3 Sampling Distributions and Estimators
6-4 The Central Limit Theorem
6-5 Assessing Normality
6-6 Normal as Approximation to Binomial (download only)
7. Estimating Parameters and Determining Sample Sizes
7-1 Estimating a Population Proportion
7-2 Estimating a Population Mean
7-3 Estimating a Population Standard Deviation or Variance
7-4 Bootstrapping: Using Technology for Estimates
8. Hypothesis Testing
8-1 Basics of Hypothesis Testing
8-2 Testing a Claim About a Proportion
Page | 2
,8-3 Testing a Claim About a Mean
8-4 Testing a Claim About a Standard Deviation or Variance
8-5 Resampling: Using Technology for Hypothesis Testing<
9. Inferences from Two Samples
9-1 Two Proportions
9-2 Two Means: Independent Samples
9-3 Matched Pairs
9-4 Two Variances or Standard Deviations
9-5 Resampling: Using Technology for Inferences
10. Correlation and Regression
10-1 Correlation
10-2 Regression
10-3 Prediction Intervals and Variation
10-4 Multiple Regression
10-5 Dummy Variables and Logistic Regression
11. Goodness-of-Fit and Contingency Tables
11-1 Goodness-of-Fit
11-2 Contingency Tables
12. Analysis of Variance
12-1 One-Way ANOVA
12-2 Two-Way ANOVA
13. Nonparametric Tests
13-1 Basics of Nonparametric Tests
13-2 Sign Test
13-3 Wilcoxon Signed-Ranks Test for Matched Pairs
13-4 Wilcoxon Rank-Sum Test for Two Independent Samples
13-5 Kruskal-Wallis Test for Three or More Samples
13-6 Rank Correlation
14. Survival Analysis
14-1 Life Tables
14-2 Kaplan-Meier Survival Analysis
Page | 3
, Chapter 1: Introduction to Statistics
1. Determine whether the given value is a statistic or a parameter: The average (mean) weight
of all newborns in a hospital over a month is 7.5 pounds.
• A. Statistic
• B.
Parameter Answer:
B
Rationale: Since it refers to the entire population of newborns in the hospital, it is a parameter.
2. Determine whether the given value is a statistic or a parameter: A survey of 100 patients
found that 60% were satisfied with their healthcare.
• A. Statistic
• B.
Parameter Answer:
A
Rationale: The value is based on a sample, making it a statistic.
3. Which of the following represents a population?
• A. A sample of 200 patients from a hospital
• B. All patients admitted to a hospital in 2023
• C. A group of patients selected for a study
• D. 50 diabetic patients from a
clinic Answer: B
Rationale: A population includes all members of a group, while a sample is a subset of the population.
Page | 4
