Essentials of Statistics 7th Edition By MarioFTriola
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Essentials of Statistics 7th Edition By MarioFTriola

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Pages
711
File size
36.14 MB
Format
Digital PDF
Category
eBook[PDF]
About this ebook
The 7th Edition of Essentials of Statistics by Mario F. Triola covers foundational and advanced introductory statistics topics across 11 core chapters. The curriculum is highly tailored toward modern applications like data science, artificial intelligence, and big data analysis. [1, 2]
The full table of contents and topics covered include:
  • Chapter 1: Introduction to Statistics
    • Statistical and Critical Thinking
    • Types of Data (Quantitative, Categorical, Discrete, Continuous)
    • Collecting Sample Data (Sampling Methods and Bias) [1]
  • Chapter 2: Exploring Data with Tables and Graphs
    • Frequency Distributions
    • Histograms
    • Graphs that Enlighten and Graphs that Deceive [1]
  • Chapter 3: Describing, Exploring, and Comparing Data
    • Measures of Center (Mean, Median, Mode)
    • Measures of Variation (Standard Deviation, Variance, Range)
    • Measures of Relative Standing and Boxplots (Z-scores, Quartiles) [1]
  • Chapter 4: Probability
    • Basic Concepts of Probability
    • Addition Rule and Multiplication Rule
    • Complements, Conditional Probability, and Bayes' Theorem
    • Counting and Permutations/Combinations [1]
  • Chapter 5: Discrete Probability Distributions
    • Probability Distributions
    • Binomial Probability Distributions
    • Poisson Probability Distributions [1]
  • Chapter 6: Normal Probability Distributions
    • The Standard Normal Distribution
    • Real Applications of Normal Distributions
    • Sampling Distributions and Estimators
    • The Central Limit Theorem [1, 2]
  • Chapter 7: Estimating Parameters and Determining Sample Sizes
    • Estimating a Population Proportion
    • Estimating a Population Mean
    • Estimating a Population Standard Deviation or Variance [1]
  • Chapter 8: Hypothesis Testing
    • Basics of Hypothesis Testing
    • Testing a Claim About a Proportion
    • Testing a Claim About a Mean
    • Testing a Claim About a Standard Deviation or Variance [1]
  • Chapter 9: Inferences from Two Samples
    • Two Proportions
    • Two Means: Independent Samples
    • Matched Pairs (Dependent Samples)
    • Two Variances or Standard Deviations [1]
  • Chapter 10: Correlation and Regression
    • Correlation coefficients (r)
    • Regression lines and equations
    • Prediction Intervals and Variation
    • Multiple Regression and Nonlinear Regression [1]
  • Chapter 11: Chi-Square and Analysis of Variance (ANOVA)
    • Goodness-of-Fit Tests
    • Contingency Tables (Independence and Homogeneity)
    • One-Way ANOVA (Analysis of Variance) [1]

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Topics

9780137465941 9780137466092 Addition Rule and Multiplication Rule Chi-Square and Analysis of Variance ANOVA Collecting Sample Data Sampling Methods and Bias Correlation and Regression Discrete probability distributions Estimating Parameters and Determining Sample Sizes Exploring Data with Tables and Graphs Measures of Relative Standing and Boxplots Multiple Regression and Nonlinear Regression Normal Probability Distributions Prediction Intervals and Variation Real Applications of Normal Distributions Statistical and Critical Thinking
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