ABE-IPSABE HOLDINGABE BOOKS
English Polski
Dostęp on-line

Książki

0.00 PLN
Schowek (0) 
Schowek jest pusty
Student Solutions Manual for First Course in Statistics, A

Student Solutions Manual for First Course in Statistics, A

Autorzy
Wydawnictwo Pearson Education (US)
Data wydania 29/02/2016
Liczba stron 344
Forma publikacji książka w miękkiej oprawie
Poziom zaawansowania Dla szkół wyższych i kształcenia podyplomowego
Język angielski
ISBN 9780134081014
Kategorie Umiejętności w nauce: ogólne
Zapytaj o ten produkt
E-mail
Pytanie
 
Do schowka

Opis książki

This manual contains completely worked-out solutions for all the odd numbered exercises in the text.

Student Solutions Manual for First Course in Statistics, A

Spis treści

Table of Contents

  1. Statistics, Data, and Statistical Thinking
    • 1.1 The Science of Statistics
    • 1.2 Types of Statistical Applications
    • 1.3 Fundamental Elements of Statistics
    • 1.4 Types of Data
    • 1.5 Collecting Data: Sampling and Related Issues
    • 1.6 The Role of Statistics in Critical Thinking and Ethics
      • Statistics in Action: Social Media Network Usage-Are You Linked In?
      • Using Technology: MINITAB: Accessing and Listing Data
  2. Methods for Describing Sets of Data
    • 2.1 Describing Qualitative Data
    • 2.2 Graphical Methods for Describing Quantitative Data
    • 2.3 Numerical Measures of Central Tendency
    • 2.4 Numerical Measures of Variability
    • 2.5 Using the Mean and Standard Deviation to Describe Data
    • 2.6 Numerical Measures of Relative Standing
    • 2.7 Methods for Detecting Outliers: Box Plots and z-Scores
    • 2.8 Graphing Bivariate Relationships (Optional)
    • 2.9 Distorting the Truth with Descriptive Statistics
      • Statistics in Action: Body Image Dissatisfaction: Real or Imagined?
      • Using Technology: MINITAB: Describing Data
      • TI-83/TI—84 Plus Graphing Calculator: Describing Data
  3. Probability
    • 3.1 Events, Sample Spaces, and Probability
    • 3.2 Unions and Intersections
    • 3.3 Complementary Events
    • 3.4 The Additive Rule and Mutually Exclusive Events
    • 3.5 Conditional Probability
    • 3.6 The Multiplicative Rule and Independent Events
      • Statistics in Action: Lotto Buster! Can You Improve Your Chance of Winning?
      • Using Technology: TI-83/TI-84 Plus Graphing Calculator: Combinations and Permutations
  4. Random Variables and Probability Distributions
    • 4.1 Two Types of Random Variables
    • 4.2 Probability Distributions for Discrete Random Variables
    • 4.3 The Binomial Random Variable
    • 4.4 Probability Distributions for Continuous Random Variables
    • 4.5 The Normal Distribution
    • 4.6 Descriptive Methods for Assessing Normality
    • 4.7 Approximating a Binomial Distribution with a Normal Distribution (Optional)
    • 4.8 Sampling Distributions
    • 4.9 The Sampling Distribution of x and the Central Limit Theorem
      • Statistics in Action: Super Weapons Development — Is the Hit Ratio Optimized?
      • Using Technology: MINITAB: Discrete Probabilities
  5. Inferences Based on a Single Sample
    • 5.1 Identifying and Estimating the Target Parameter
    • 5.2 Confidence Interval for a Population Mean: Normal (z) Statistic
    • 5.3 Confidence Interval for a Population Mean: Student’s t-Statistic
    • 5.4 Large-Sample Confidence Interval for a Population Proportion
    • 5.5 Determining the Sample Size
    • 5.6 Confidence Interval for a Population Variance (Optional)
      • Statistics in Action: Medicare Fraud Investigations
      • Using Technology: MINITAB: Confidence Intervals
  6. Inferences Based on a Single Sample
    • 6.1 The Elements of a Test of Hypothesis
    • 6.2 Formulating Hypotheses and Setting Up the Rejection Region
    • 6.3 Observed Significance Levels: p-values
    • 6.4 Test of Hypothesis about a Population Mean: Normal (z) Statistic
    • 6.5 Test of Hypothesis about a Population Mean: Student’s t-Statistic
    • 6.6 Large-Sample Test of Hypothesis about a Population Proportion
    • 6.7 Test of Hypothesis about a Population Variance (Optional)
    • 6.8 A Nonparametric Test about a Population Median (Optional)
      • Statistics in Action: Diary of a KLEENEX User How Many Tissues in a Box?
      • Using Technology: MINITAB: Tests of Hypotheses
      • TI-83/TI-84 Plus Graphing Calculator: Tests of Hypotheses
  7. Comparing Population Means
    • 7.1 Identifying the Target Parameter
    • 7.2 Comparing Two Population Means: Independent Sampling
    • 7.3 Comparing Two Population Means: Paired Difference Experiments
    • 7.4 Determining the Sample Size
    • 7.5 A Nonparametric Test for Comparing Two Populations: Independent Samples
    • 7.6 A Nonparametric Test for Comparing Two Populations: Paired Difference Experiment (Optional)
    • 7.7 Comparing Three or More Population Means: Analysis of Variance (Optional)
      • Statistics in Action: Zixlt Corp. vs. Visa USA Inc. — A Libel Case
      • Using Technology: MINITAB: Comparing Means
      • TI-83/TI-84 Plus Graphing Calculator: Comparing Means
  8. Comparing Population Proportions
    • 8.1 Comparing Two Population Proportions: Independent Sampling
    • 8.2 Determining Sample Size
    • 8.3 Testing Category Probabilities: Multinomial Experiment
    • 8.4 Testing Categorical Probabilities: Two-Way (Contingency) Table
  9. Simple Linear Regression
    • 9.1 Probabilistic Models
    • 9.2 Fitting the Model: The Least Squares Approach
    • 9.3 Model Assumptions
    • 9.4 Assessing the Utility of the Model: Making Inferences about the Slope β1
    • 9.5 The Coefficients of Correlation and Determination
    • 9.6 Using the Model for Estimation and Prediction
    • 9.7 A Complete Example
    • 9.8 A Nonparametric Test for Correlation (Optional)
      • Statistics in Action: Can “Dowsers” Really Detect Water?
      • Using Technology: MINITAB: Simple Linear Regression
      • TI-83/TI-84 Plus Graphing Calculator: Simple Linear Regression

Appendices

Short Answers to Selected Odd-Numbered Exercises

Index

Photo Credits

Polecamy również książki

Strony www Białystok Warszawa
801 777 223