Essentials of Statistics 6th Edition by Mario F. Triola – Ebook PDF Instant Download/DeliveryISBN: 0134685776, 9780134685779
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Product details:
ISBN-10 : 0134685776
ISBN-13 : 9780134685779
Author: Mario F. Triola
This is the eBook of the printed book and may not include any media, website access codes, or print supplements that may come packaged with the bound book. For courses in Introductory Statistics. Real data bring statistics to life From opinion polls and clinical trials to self-driving cars, statistics influences and shapes the world around us. Best-selling author Marty Triola is committed to keeping Essentials of Statistics current — with an unprecedented amount of current real data — so that students of all majors understand the role of statistics in the world around them. In addition to an abundance of new data sets, examples, and exercises, the 6th Edition is even more effective for today’s instructors with the addition of learning objectives as an organizational tool, larger data sets, and new topics and organization in line with advancements in statistics education.
Essentials of Statistics 6th Table of contents:
1 Introduction to Statistics
Chapter Problem
Flaw 1: Misleading Graphs
Flaw 2: Bad Sampling Method
Chapter Objectives
1-1 Statistical and Critical Thinking
1-1 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
1-1 Beyond the Basics
1-2 Types of Data
Part 1 Basic Types of Data
Parameter/Statistic
Quantitative/Categorical
Include Units of Measurement
Discrete/Continuous
Levels of Measurement
Solution
Part 2 Big Data and Missing Data: Too Much and Not Enough
Big Data
Examples of Data Set Magnitudes
Examples of Applications of Big Data
Examples of Jobs
Statistics in Data Science
Missing Data
Example of Missing Data—Random
Example of Missing Data—Not at Random
Biased Results?
Correcting for Missing Data
1-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
1-2 Beyond the Basics
1-3 Collecting Sample Data
Part 1 Basics of Design of Experiments and Collecting Sample Data
Design of Experiments
Multistage Sampling
Part 2 Beyond the Basics of Design of Experiments and Collecting Sample Data
Sampling Errors
1-3 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
1-3 Beyond the Basics
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Technology Project
Cooperative Group Activities
2 Exploring Data with Tables and Graphs
Chapter Problem
Chapter Objectives
2-1 Frequency Distributions for Organizing and Summarizing Data
2-1 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
2-1 Beyond the Basics
2-2 Histograms
Part 1 Basic Concepts of Histograms
Relative Frequency Histogram
Critical Thinking: Interpreting Histograms
Common Distribution Shapes
Normal Distribution
Uniform Distribution
Skewness
Part 2 Assessing Normality with Normal Quantile Plots
2-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
2-2 Beyond the Basics
2-3 Graphs That Enlighten and Graphs That Deceive
2-3 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
2-3 Beyond the Basics
2-4 Scatterplots, Correlation, and Regression
Part 1 Scatterplot and Correlation
Part 2 Linear Correlation Coefficient r
Part 3 Regression
2-4 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
2-4 Beyond the Basics
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Technology Project
Cooperative Group Activities
3 Describing, Exploring, and Comparing Data
Chapter Problem
Chapter Objectives
3-1 Measures of Center
Part 1 Basic Concepts of Measures of Center
Part 2 Beyond the Basics of Measures of Center
3-1 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
3-1 Beyond the Basics
3-2 Measures of Variation
Part 1 Basic Concepts of Variation
Part 2 Beyond the Basics of Variation
3-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
3-2 Beyond the Basics
3-3 Measures of Relative Standing and Boxplots
Part 1 Basics of z Scores, Percentiles, Quartiles, and Boxplots
Part 2 Outliers and Modified Boxplots
3-3 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
3-3 Beyond the Basics
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Technology Project
Cooperative Group Activities
4 Probability
Chapter Problem
Analyzing the Results
Chapter Objectives
4-1 Basic Concepts of Probability
Part 1 Basic Concepts of Probability
Complementary Events
Solution
Interpretation
Relationship Between P(A) and P(A¯)
Identifying Significant Results with Probabilities: The Rare Event Rule for Inferential Statistics
Probability Review
Part 2 Odds
Solution
4-1 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
4-1 Beyond the Basics
4-2 Addition Rule and Multiplication Rule
4-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
4-2 Beyond the Basics
4-3 Complements, Conditional Probability, and Bayes’ Theorem
Part 1 Complements: The Probability of “At Least One”
Solution
Interpretation
Part 2 Conditional Probability
Confusion of the Inverse
Part 3 Bayes’ Theorem
Solution
Interpretation
4-3 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
4-3 Beyond the Basics
4-4 Counting
4-4 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
4-4 Beyond the Basics
4-5 Probabilities Through Simulations (available at www.TriolaStats.com)
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Technology Project
Cooperative Group Activities
5 Discrete Probability Distributions
Chapter Problem
Chapter Objectives
5-1 Probability Distributions
Part 1 Basic Concepts of a Probability Distribution
Parameters of a Probability Distribution
Expected Value
Solution
Interpretation
Making Sense of Results: Significant Values
Identifying Significant Results with the Range Rule of Thumb
Solution
Interpretation
Identifying Significant Results with Probabilities
The Rare Event Rule for Inferential Statistics
Solution
Interpretation
Part 2 Expected Value and Rationale for Formulas
5-1 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
5-1 Beyond the Basics
5-2 Binomial Probability Distributions
Part 1 Basics of Binomial Probability Distribution
Solution
Methods for Finding Binomial Probabilities
Method 1: Using the Binomial Probability Formula
Solution
Method 2: Using Technology
Solution
Method 3: Using Table A-1 in Appendix A
Solution
Part 2 Using Mean and Standard Deviation for Critical Thinking
Solution
5-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
5-2 Beyond the Basics
5-3 Poisson Probability Distributions
Solution
5-3 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
5-3 Beyond the Basics
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Technology Project
Cooperative Group Activities
6 Normal Probability Distributions
Chapter Problem
Chapter Objectives
6-1 The Standard Normal Distribution
6-1 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
6-1 Beyond the Basics
6-2 Real Applications of Normal Distributions
Solution
Interpretation
Solution
Interpretation
6-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
6-2 Beyond the Basics
6-3 Sampling Distributions and Estimators
Estimators: Unbiased and Biased
Unbiased Estimators
Biased Estimators
Solution
Interpretation
Why Sample with Replacement?
6-3 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
6-3 Beyond the Basics
6-4 The Central Limit Theorem
Interpretation
6-4 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
6-4 Beyond the Basics
6-5 Assessing Normality
Part 1 Basic Concepts of Assessing Normality
Part 2 Manual Construction of Normal Quantile Plots
Solution
Interpretation
Ryan-Joiner Test
Data Transformations
6-5 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
6-5 Beyond the Basics
6-6 Normal as Approximation to Binomial
6-6 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
6-6 Beyond the Basics
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Technology Projects
Cooperative Group Activities
7 Estimating Parameters and Determining Sample Sizes
Chapter Problem
Chapter Objectives
7-1 Estimating a Population Proportion
Part 1 Point Estimate, Confidence Interval, and Sample Size
Point Estimate
Solution
Confidence Interval
Interpreting a Confidence Interval
Critical Values
Solution
Margin of Error
Solution
Requirement Check
Analyzing Polls
Finding the Point Estimate and E from a Confidence Interval
Solution
Using Confidence Intervals for Hypothesis Tests
Determining Sample Size
Solution
Interpretation
Part 2 Better-Performing Confidence Intervals
7-1 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
7-1 Beyond the Basics
7-2 Estimating a Population Mean
Part 1 Estimating a Population Mean When σ is not Known
Determining Sample Size
Solution
Interpretation
Part 2 Estimating a Population Mean When σ is Known
Solution
Requirement Check
Choosing the Appropriate Distribution
7-2 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
7-2 Beyond the Basics
7-3 Estimating a Population Standard Deviation or Variance
7-3 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
7-3 Beyond the Basics
7-4 Bootstrapping: Using Technology for Estimates
7-4 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
7-4 Beyond the Basics
Chapter Quick Quiz
Review Exercises
Cumulative Review Exercises
Technology Project
Cooperative Group Activities
8 Hypothesis Testing
Chapter Problem
Chapter Objectives
8-1 Basics of Hypothesis Testing
Part 1 Basic Concepts of Hypothesis Testing
Steps 1, 2, 3: Use the Original Claim to Create a Null Hypothesis H0 and an Alternative Hypothesis H1
Step 4: Select the Significance Level α
Step 5: Identify the Statistic Relevant to the Test and Determine Its Sampling Distribution (such as normal, t, or χ2)
Step 6: Find the Value of the Test Statistic, Then Find Either the P-Value or the Critical Value(s)
Two-Tailed, Left-Tailed, Right-Tailed
P-Value Method
P-Value and Hypothesis Testing Controversy
Critical Value Method
Step 7: Make a Decision to Either Reject H0 or Fail to Reject H0
Step 8: Restate the Decision Using Simple and Nontechnical Terms
Confidence Intervals for Hypothesis Tests
Equivalent Methods
Part 2 Type I and Type II Errors
Solution
Part 3 Power of a Hypothesis Test
Solution
Interpretation
8-1 Basic Skills and Concepts
Statistical Literacy and Critical Thinking
8-1 Beyond the Basics
8-2 Testing a Claim About a Proportion
Part 1 Normal Approximation Method
Claim: Most Consumers Uncomfortable with Drone Deliveries
Requirement Check
Solution: P-Value Method
Solution: Critical Value Method
Solution: Confidence Interval Method
Finding the Number of Successes x
Solution
Solution
Requirement Check
Interpretation
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