Description
Test Bank for Biostatistics for the Biological and Health Sciences 1st Edition Triola
Table Of Contents
1 Introduction to Statistics
1-1 Overview
1-2 Types of Data
1-3 Design of Experiments
2 Describing, Exploring, and Comparing Data
2-1 Overview
2-2 Frequency Distributions
2-3 Visualizing Data
2-4 Measures of Center
2-5 Measures of Variation
2-6 Measures of Relative Standing
2-7 Exploratory Data Analysis (EDA)
3 Probability
3-1 Overview
3-2 Fundamentals
3-3 Addition Rule
3-4 Multiplication Rule: Basics
3-5 Multiplication Rule: Conditional Probability
3-6 Relative Risk and Odds Ratio
3-7 Rates of Mortality, Fertility, and Morbidity
3-8 Counting Methods
4 Discrete Probability Distributions
4-1 Overview
4-2 Random Variables
4-3 Binomial Probability Distributions
4-4 Mean, Variance, and Standard Deviation for the Binomial Distribution
4-5 The Poisson Distribution
5 Normal Probability Distributions
5-1 Overview
5-2 The Standard Normal Distribution
5-3 Applications of Normal Distributions
5-4 Sampling Distributions and Estimators
5-5 The Central Limit Theorem
5-6 Normal Approximation to Binomial
5-7 Assessing Normality
6 Estimates and Sample Sizes with One Sample
6-1 Overview
6-2 Estimating a Population Proportion
6-3 Estimating a Population Mean: s Known
6-4 Estimating a Population Mean: s Not Known
6-5 Estimating a Population Variance
7 Hypothesis Testing with One Sample
7-1 Overview
7-2 Basics of Hypothesis Testing
7-3 Testing a Claim about a Proportion
7-4 Testing a Claim about a Mean: s Known
7-5 Testing a Claim about a Mean: s Not Known
7-6 Testing a Claim about Variation
8 Inferences from Two Samples
8-1 Overview
8-2 Two Proportions
8-3 Two Means: Independent Samples
8-4 Two Means: Matched Pairs
8-5 Odds Ratios
8-6 Variation in Two Samples
9 Correlation and Regression
9-1 Overview
9-2 Correlation
9-3 Regression
9-4 Variation and Prediction Intervals
9-5 Multiple Regression
10 Multinomial Experiments and Contingency Tables
10-1 Overview
10-2 Multinomial Experiments: Goodness-0f-Fit
10-3 Contingency Tables: Independence and Homogeneity
10-4 McNemars Test for Matched Pairs
11 Analysis of Variance
11-1 Overview
11-2 One-Way ANOVA
11-3 Two-Way ANOVA
12 Nonparametric Statistics
12-1 Overview
12-2 Sign Test
12-3 Wilcoxon Signed-Ranks Test for Matched Pairs
12-4 Wilcoxon Rank-Sum Test for Two Independent Samples
12-5 Kruskal-Wallis Test
12-6 Rank Correlation
13Life Tables
13-1 Overview
13-2 Elements of a Life Table
13-3 Applications of Life Tables
