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14.3: Index

  • Page ID
    4633
  • A

    alternative hypothesis 9.1 Null and Alternative Hypotheses9.3 Distribution Needed for Hypothesis Testing

    average 1.1 Definitions of Statistics, Probability, and Key Terms

    B

    balanced design 12.3 The F Distribution and the F-Ratio

    bar graph 1.2 Data, Sampling, and Variation in Data and Sampling

    Bernoulli Trial 4.2 Binomial Distribution

    binomial distribution 8.3 A Confidence Interval for A Population Proportion9.4 Full Hypothesis Test Examples

    binomial probability distribution 4.2 Binomial Distribution

    bivariate 13.1 The Correlation Coefficient r

    Blinding 1.4 Experimental Design and Ethics

    C

    Categorical variables 1.1 Definitions of Statistics, Probability, and Key Terms

    Central Limit Theorem Introduction

    chi-square distribution 11.1 Facts About the Chi-Square Distribution

    coefficient of determination 13.4 The Regression Equation

    coefficient of multiple determination 13.4 The Regression Equation

    Cohen's d 10.2 Cohen's Standards for Small, Medium, and Large Effect Sizes

    complement 3.1 Terminology

    conditional probability 3.1 Terminology

    confidence interval Introduction8.2 A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case13.6 Predicting with a Regression Equation

    confidence intervals 8.3 A Confidence Interval for A Population ProportionIntroduction

    confidence level 8.1 A Confidence Interval for a Population Standard Deviation, Known or Large Sample Size

    contingency table 3.4 Contingency Tables and Probability Trees11.4 Test of Independence

    continuous 1.2 Data, Sampling, and Variation in Data and Sampling

    control group 1.4 Experimental Design and Ethics

    critical values 9.3 Distribution Needed for Hypothesis Testing

    cumulative distribution function (CDF) 5.3 The Exponential Distribution

    Cumulative relative frequency 1.3 Levels of Measurement

    D

    data 1.1 Definitions of Statistics, Probability, and Key Terms1.1 Definitions of Statistics, Probability, and Key Terms

    degrees of freedom 8.2 A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case

    degrees of freedom (df) 10.1 Comparing Two Independent Population Means

    dependent variable 1.4 Experimental Design and Ethics1.4 Experimental Design and Ethics

    descriptive statistics 1.1 Definitions of Statistics, Probability, and Key Terms

    discrete 1.2 Data, Sampling, and Variation in Data and Sampling

    double-blind experiment 1.4 Experimental Design and Ethics

    E

    Empirical Rule 6.1 The Standard Normal DistributionIntroduction

    equal standard deviations 12.2 One-Way ANOVA

    Equally likely 3.1 Terminology

    Error Bound Mean 8.1 A Confidence Interval for a Population Standard Deviation, Known or Large Sample Size

    estimate of the error variance 13.4 The Regression Equation

    event 3.1 Terminology

    expected mean 13.6 Predicting with a Regression Equation

    expected value 13.6 Predicting with a Regression Equation

    expected values 11.3 Goodness-of-Fit Test

    experiment 3.1 Terminology

    experimental unit 1.4 Experimental Design and Ethics

    explanatory variable 1.4 Experimental Design and Ethics

    exponential distribution 5.3 The Exponential Distribution

    F

    F distribution 12.3 The F Distribution and the F-Ratio

    F ratio 12.3 The F Distribution and the F-Ratio

    fair 3.1 Terminology

    first quartile 2.2 Measures of the Location of the Data

    frequency 1.3 Levels of Measurement2.1 Display Data

    G

    geometric distribution 4.3 Geometric Distribution

    goodness-of-fit test 11.3 Goodness-of-Fit Test

    H

    histogram 2.1 Display Data

    hypergeometric experiment 4.4 Poisson Distribution

    hypotheses 9.1 Null and Alternative Hypotheses

    hypothesis test 9.4 Full Hypothesis Test Examples

    hypothesis testing Introduction

    I

    independent 3.2 Independent and Mutually Exclusive Events3.3 Two Basic Rules of Probability

    Independent groups Introduction

    independent variable 1.4 Experimental Design and Ethics1.4 Experimental Design and Ethics

    inferential statistics 1.1 Definitions of Statistics, Probability, and Key TermsIntroduction

    interquartile range 2.2 Measures of the Location of the Data

    interval scale 1.3 Levels of Measurement

    L

    law of large numbers 3.1 Terminology7.2 Using the Central Limit Theorem

    level of measurement 1.3 Levels of Measurement

    long-term relative frequency 3.1 Terminology

    lurking variables 1.4 Experimental Design and Ethics

    M

    matched pairs Introduction

    mean 1.1 Definitions of Statistics, Probability, and Key Terms1.1 Definitions of Statistics, Probability, and Key Terms2.3 Measures of the Center of the Data

    mean square 12.3 The F Distribution and the F-Ratio

    median 2.2 Measures of the Location of the Data2.3 Measures of the Center of the Data

    mode 2.3 Measures of the Center of the Data

    multiple correlation coefficient 13.4 The Regression Equation

    multivariate 13.1 The Correlation Coefficient r

    mutually exclusive 3.2 Independent and Mutually Exclusive Events3.3 Two Basic Rules of Probability

    N

    nominal scale 1.3 Levels of Measurement

    normal distribution 8.2 A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case9.3 Distribution Needed for Hypothesis Testing

    null hypothesis 9.1 Null and Alternative Hypotheses9.3 Distribution Needed for Hypothesis Testing

    Numerical variables 1.1 Definitions of Statistics, Probability, and Key Terms

    O

    observed values 11.3 Goodness-of-Fit Test

    ordinal scale 1.3 Levels of Measurement

    outcome 3.1 Terminology

    outlier 2.1 Display Data2.2 Measures of the Location of the Data

    P

    p-value 9.3 Distribution Needed for Hypothesis Testing

    paired data set 2.1 Display Data

    parameter 1.1 Definitions of Statistics, Probability, and Key TermsIntroduction

    Pareto chart 1.2 Data, Sampling, and Variation in Data and Sampling

    Pearson 1.1 Definitions of Statistics, Probability, and Key Terms

    percentage impact 13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation

    percentiles 2.2 Measures of the Location of the Data

    pie chart 1.2 Data, Sampling, and Variation in Data and Sampling

    placebo 1.4 Experimental Design and Ethics

    point estimate Introduction

    Poisson probability distribution 4.4 Poisson Distribution4.4 Poisson Distribution

    population 1.1 Definitions of Statistics, Probability, and Key Terms1.2 Data, Sampling, and Variation in Data and Sampling

    population variance 11.2 Test of a Single Variance

    Power of the Test 9.2 Outcomes and the Type I and Type II Errors

    prediction interval 13.6 Predicting with a Regression Equation

    preset or preconceived \(bf{\alpha}\) 9.3 Distribution Needed for Hypothesis Testing

    Probability 1.1 Definitions of Statistics, Probability, and Key Terms3.1 Terminology

    probability density function Introduction5.1 Properties of Continuous Probability Density Functions

    probability distribution function Introduction

    proportion 1.1 Definitions of Statistics, Probability, and Key Terms

    Q

    Qualitative data 1.2 Data, Sampling, and Variation in Data and Sampling1.2 Data, Sampling, and Variation in Data and Sampling

    quantitative continuous data 1.2 Data, Sampling, and Variation in Data and Sampling

    Quantitative data 1.2 Data, Sampling, and Variation in Data and Sampling

    quantitative discrete data 1.2 Data, Sampling, and Variation in Data and Sampling

    quartiles 2.2 Measures of the Location of the Data2.2 Measures of the Location of the Data

    R

    random assignment 1.4 Experimental Design and Ethics

    random variable Introduction10.1 Comparing Two Independent Population Means10.5 Two Population Means with Known Standard Deviations

    ratio scale 1.3 Levels of Measurement

    relative frequency 1.3 Levels of Measurement2.1 Display Data

    replacement 3.2 Independent and Mutually Exclusive Events

    representative sample 1.1 Definitions of Statistics, Probability, and Key Terms

    response variable 1.4 Experimental Design and Ethics

    S

    sample 1.1 Definitions of Statistics, Probability, and Key Terms

    sample space 3.1 Terminology3.3 Two Basic Rules of Probability3.4 Contingency Tables and Probability Trees

    samples 1.2 Data, Sampling, and Variation in Data and Sampling

    sampling 1.1 Definitions of Statistics, Probability, and Key Terms

    significance level 9.3 Distribution Needed for Hypothesis Testing

    standard deviation 2.7 Measures of the Spread of the Data8.2 A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case9.3 Distribution Needed for Hypothesis Testing

    standard error 10.1 Comparing Two Independent Population Means

    standard error of the estimate 13.4 The Regression Equation

    standard normal distribution 6.1 The Standard Normal Distribution

    standardizing formula 6.2 Using the Normal Distribution

    statistic 1.1 Definitions of Statistics, Probability, and Key Terms

    statistics 1.1 Definitions of Statistics, Probability, and Key Terms

    Student's t-distribution 8.2 A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case9.3 Distribution Needed for Hypothesis Testing

    Sum of Squared Errors (SSE) 13.4 The Regression Equation

    sum of squares 12.3 The F Distribution and the F-Ratio

    T

    test for homogeneity 11.5 Test for Homogeneity

    test of a single variance 11.2 Test of a Single Variance

    test of independence 11.4 Test of Independence

    test statistic 9.3 Distribution Needed for Hypothesis Testing10.5 Two Population Means with Known Standard Deviations

    the Central Limit Theorem 7.1 The Central Limit Theorem for Sample Means

    The standard deviation 10.5 Two Population Means with Known Standard Deviations

    third quartile 2.2 Measures of the Location of the Data

    treatments 1.4 Experimental Design and Ethics

    tree diagram 3.4 Contingency Tables and Probability Trees

    Type I 9.3 Distribution Needed for Hypothesis Testing

    Type I error 9.2 Outcomes and the Type I and Type II Errors

    Type II error 9.2 Outcomes and the Type I and Type II Errors

    U

    unfair 3.1 Terminology

    unit 13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation

    unit change 13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation

    units 13.5 Interpretation of Regression Coefficients: Elasticity and Logarithmic Transformation

    V

    variable 1.1 Definitions of Statistics, Probability, and Key Terms

    variance 2.7 Measures of the Spread of the Data

    Variance between samples 12.3 The F Distribution and the F-Ratio

    Variance within samples 12.3 The F Distribution and the F-Ratio

    variances 12.2 One-Way ANOVA

    Variation 1.2 Data, Sampling, and Variation in Data and Sampling

    Venn diagram 3.5 Venn Diagrams

    Z

    z-score 8.2 A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case

    z-scores 6.1 The Standard Normal Distribution