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Introductory Business Statistics

Index

Introductory Business StatisticsIndex
A
alternative hypothesis 9.1 Null and Alternative Hypotheses, 9.3 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 Proportion, 9.4 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 Introduction, 8.2 A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case, 13.6 Predicting with a Regression Equation
confidence intervals 8.3 A Confidence Interval for A Population Proportion, Introduction
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 Trees, 11.4 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 Terms, 1.1 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 Ethics, 1 Key Terms
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 Distribution, Introduction
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 Measurement, 2.1 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 Chapter Review
hypotheses 9.1 Null and Alternative Hypotheses
hypothesis test 9 Chapter Review
hypothesis testing Introduction
I
independent 3.2 Independent and Mutually Exclusive Events, 3.3 Two Basic Rules of Probability
Independent groups Introduction
independent variable 1.4 Experimental Design and Ethics, 1 Key Terms
inferential statistics 1.1 Definitions of Statistics, Probability, and Key Terms, Introduction
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 Terminology, 7.2 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 Terms, 1.1 Definitions of Statistics, Probability, and Key Terms, 2.3 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 Data, 2.3 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 Events, 3.3 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 Case, 9.3 Distribution Needed for Hypothesis Testing
null hypothesis 9.1 Null and Alternative Hypotheses, 9.3 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 Data, 2.2 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 Terms, Introduction
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 Distribution, 4 Chapter Review
population 1.1 Definitions of Statistics, Probability, and Key Terms, 1.2 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 α 9.3 Distribution Needed for Hypothesis Testing
Probability 1.1 Definitions of Statistics, Probability, and Key Terms, 3.1 Terminology
probability density function Introduction, 5.1 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 Sampling, 1.2 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 Data, 2.2 Measures of the Location of the Data
R
random assignment 1.4 Experimental Design and Ethics
random variable Introduction, 10.1 Comparing Two Independent Population Means, 10.5 Two Population Means with Known Standard Deviations
ratio scale 1.3 Levels of Measurement
relative frequency 1.3 Levels of Measurement, 2.1 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 Terminology, 3.3 Two Basic Rules of Probability, 3.4 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 Data, 8.2 A Confidence Interval for a Population Standard Deviation Unknown, Small Sample Case, 9.3 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 Case, 9.3 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 Testing, 10.5 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
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