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Index

Ac
Introduction
H0
Introduction
HA
Introduction
Q1
The 5 Basic Descriptive | Parameters
Q3
The 5 Basic Descriptive | Parameters
R2
Relationships Between Variables, Part
s
Measures of Scale | Parameters
s2
Measures of Scale
$\hat{p}$
Introduction
$\mu$
Parameters
$\sigma$
More Parameters
$\sigma^2$
More Parameters
$\lambda$
Poisson Probability Model
$\theta$
Parameters
$\sigma$
Parameters
$\mu$
Empirical Rule
$\bar{x}$
Some Probability Examples
$\theta$
Confidence Intervals Based on
$\Delta$
Introduction
$\bar{x}$
Measures of Center
accept
A Testing Procedure
adjacent points
Outliers and Box Plots
alternative hypothesis
Introduction
asymmetric
Sample Distributions for Continuous | Sample Distributions for Continuous
bell shaped
Normal Distribution
Bernoulli
Binomial Probability Model
bi-modal
Sample Distributions for Continuous
bin(n,p)
Binomial Probability Model
binomial
Binomial Probability Model
random variable
Binomial Probability Model
bootstrap
Confidence Intervals Based on
cause and effect
Introduction
central limit theorem
Normal Distribution | Some Probability Examples | Central Limit Theorem
coefficient of determination
Relationships Between Variables, Part
complement
Introduction
completely randomized design
Completely Randomized Designs
conditional probability
Independence
confidence interval
Confidence Intervals for Means | Confidence Intervals for Proportions
based on resampling
Confidence Intervals Based on
mean
Confidence Intervals for Means
median
Confidence Intervals Based on
proportion
Confidence Intervals for Proportions
continuous data
Introduction | Sample Distributions for Continuous
continuous random variable
Random Variables
controlled experiment
Introduction | Completely Randomized Designs
controlled regression design
Regression Experimental Designs
covariance
Measures of Scale
CRD
Completely Randomized Designs
data
Introduction
decision rule
A Testing Procedure
difference in locations
Introduction
difference in proportions
Difference Between Proportions
dependent samples
Difference Between Proportions :
difference of the sample means
Estimation and Confidence Intervals
discrete data
Introduction
discrete random variable
Random Variables
dispersion
The 5 Basic Descriptive
distribution
Describing Discrete Data | Discrete Populations (Probability Models) | Some Probability Examples
double blind study
Difference Between Proportions
effect
Introduction
empirical rule
Empirical Rule | Confidence Intervals for Means
equilikely
More on Probability
error
Relationships Between Variables, Part | Introduction
error of estimation
Introduction
estimate
Describing Discrete Data | Parameters | Normal Quantiles
event
Introduction | Introduction
example
baseball data
Relationships Between Variables, Part | Confidence Intervals for Proportions
battery, two sample
The Wilcoxon | Estimation and Confidence Interval
car battery
Confidence Intervals Based on
church wedding
Observational Studies
concrete
Regression Experimental Designs
elevator
Central Limit Theorem
Etruscan Italian head sizes
Introduction
Etruscan-Italian head sizes
Sample Distributions for Continuous | Measures of Center
Etruscan-Italianhead sizes
Sample Distributions for Continuous
identical twins
Randomized Paired Design
income
Confidence Intervals for Means | Confidence Intervals for Means
jet engine
Independence
ozone
Outliers and Box Plots
Peruvian highlanders
Wilcoxon: Other Alternatives
quail data
Wilcoxon: Other Alternatives | Completely Randomized Designs
spinner
Probabilities | Parameters | More Parameters | Some Probability Examples
suds
Regression Experimental Designs
urn problem
Determination of Probabilities 1: | Random Variables
experiment
Introduction | Introduction
experimental unit
Completely Randomized Designs
experimental units
Regression Experimental Designs
eyeball fit
Relationships Between Variables, Part
first quartile
The 5 Basic Descriptive | Parameters
fit
Relationships Between Variables, Part
fivebasic descriptive statistics
The 5 Basic Descriptive
GIGO
Introduction | Confidence Intervals Based on
hypothesis
Introduction
identical
Relative Frequency
inconclusive results
Estimation and Confidence Interval
increasing
Relationships Between Variables, Part
independent
Relative Frequency
independent events
Independence
infer
Introduction
insignificant
Comparing Data Sets
intercept
Relationships Between Variables, Part
iqr
Parameters
least squares
Relationships Between Variables, Part
location parameter
Parameters
mean
Parameters
median
Parameters
location problem
Comparing Data Sets
lower inner fence
Outliers and Box Plots
LS
Relationships Between Variables, Part
lurking
Observational Studies
maximum
The 5 Basic Descriptive
measure of center
The 5 Basic Descriptive
measures of center
Other Statistics
Q2
The 5 Basic Descriptive
HL
Measures of Center
Hodges-Lehmann
Measures of Center
mean
Parameters
median
The 5 Basic Descriptive
mode
Sample Distributions for Continuous
sample mean
Measures of Center
sample median
Measures of Center
measures of noise
Other Statistics
measures of relationships
Other Statistics
measures of scale
Other Statistics
interquartile range
The 5 Basic Descriptive | Measures of Scale
IQR
The 5 Basic Descriptive
range
The 5 Basic Descriptive | Measures of Scale | Some Probability Examples
sample standard deviation
Measures of Scale | Normal Quantiles
sample variance
Measures of Scale
variance
More Parameters
median of the differences
Estimation and Confidence Interval
minimum
The 5 Basic Descriptive
model assumption
Relationships Between Variables, Part
model standard deviation
More Parameters
model variance
More Parameters
multiplicative law
Independence
n
Introduction
noise
The 5 Basic Descriptive | Randomized Paired Design
noise parameter
Parameters
noise reducer
Randomized Paired Design
normal
cumulative probability
Normal Distribution
distribution
Normal Distribution | Empirical Rule
percentage point
Normal Quantiles
probability model
Normal Distribution
quantile
Normal Quantiles
quartile
Normal Quantiles
random variable
Normal Distribution
null hypothesis
Introduction
observational study
Observational Studies
observed significance level
The Wilcoxon
one sample Wilcoxon
Signed-Rank Wilcoxon
outlier
The 5 Basic Descriptive | Outliers and Box Plots
p-value
The Wilcoxon
parameter
Parameters | Parameters | Parameters
plots
boxplot
Outliers and Box Plots | Normal Quantiles
comparison boxplots
Comparing Data Sets
comparison dotplots
Sample Distributions for Continuous
dotplot
Sample Distributions for Continuous | Estimation and Confidence Interval
histogram
Sample Distributions for Continuous
residual plot
Relationships Between Variables, Part
scatterplot
Relationships Between Variables, Part
stem leaf
Sample Distributions for Continuous
Poisson
Poisson Probability Model
population
Introduction | Introduction | Introduction
predict
Relationships Between Variables, Part | Relationships Between Variables, Part
probability
Introduction | Probabilities
probability mass function
Discrete Populations (Probability Models)
probability model
Discrete Populations (Probability Models)
question
Introduction | Introduction
random error
Relationships Between Variables, Part | Relationships Between Variables, Part
random number table
Introduction
random sample
Parameters | Introduction
random variable
Random Variables
randomized paired design
Randomized Paired Design
regression
Introduction
regression experimental design
Regression Experimental Designs: A
regression towards the mean
How Regression Got Its
reject
A Testing Procedure
resampling
Introduction
residual
Relationships Between Variables, Part
robust
The 5 Basic Descriptive | Measures of Center | Relationships Between Variables, Part
S
Introduction
sample
Introduction
sample correlation coefficient
Relationships Between Variables, Part
sample covariance
Relationships Between Variables, Part
sample proportion
Describing Discrete Data
sample size
Introduction
sample space
Introduction
sampling with replacement
Independence
scale
The 5 Basic Descriptive
scale parameter
Parameters
interquartile range
Parameters
standard deviation
Parameters
shapes of distributions
Sample Distributions for Continuous
shift
Comparing Data Sets | Introduction
signed-rank Wilcoxon
Signed-Rank Wilcoxon
significant
Comparing Data Sets
skewed
Sample Distributions for Continuous
slope
Relationships Between Variables, Part
SRW
Signed-Rank Wilcoxon
standard error
Confidence Intervals for Means | Regression Experimental Designs
statistic
Describing Discrete Data
symmetric
Sample Distributions for Continuous
symmetry
Normal Quantiles
target parameter
Completely Randomized Designs
test
A Testing Procedure
test statistic
A Testing Procedure
third quartile
The 5 Basic Descriptive
tree diagram
Determination of Probabilities 1: | Some Probability Examples
trial
Introduction | Binomial Probability Model
Type I Error
A Testing Procedure
Type II Error
A Testing Procedure
uniform
Uniform Probability Model
probability model
Uniform Probability Model
unimodal
Sample Distributions for Continuous
upper inner fence
Outliers and Box Plots
Walsh averages
Measures of Center | Signed-Rank Wilcoxon
Wilcoxon
Relationships Between Variables, Part | The Wilcoxon
Wilcoxon fit
Relationships Between Variables, Part
Wilcoxon test statistic
The Wilcoxon
z-score
Normal Distribution



2001-01-01