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Index

$\mu$
mean of binomial
Expected Value and SD
$\mu$
population mean
Behavioral Properties of the
$\sigma$
population SD
Behavioral Properties of the
$\mu$
population mean
Estimating the Population Mean
$\mu$
estimated by $\overline{X}$
Estimating the Population Mean
$\mu$
population mean
Estimating the Population Mean
$\sigma$
SD for individuals
Estimating the Population Mean
$\mu$
interval estimation
Estimating the Population Mean
$\sigma$
population SD
t-based Confidence Interval for
alternative hypothesis
Test of Significance involving | Test of Significance involving
ANOVA table
The Excel Printout | The Excel Printout
associated variables
Testing for Independence between $r \times c$
association
Testing for Independence between $r \times c$
association
linear
Correlation | Correlation
measure of
Correlation
average
The Average and SD
average
adding a constant
Adding a Constant
histogram of
Behavioral Properties of the
multiply by a constant
Multiplying by a constant
using the TI-83
Calculating $\overline{X}$ and S
bar chart
Bar Chart
binomial
Binomial Probabilities
binomial
expected value, average, mean
Expected Value and SD
n, p
Computing Binomial Probabilities
normal approximation
Computing Binomial Probabilities Using | Computing Binomial Probabilities Using
probability distribution function (pdf)
Computing Binomial Probabilities
standard deviation, SD
Expected Value and SD
thumb rule for normal curve
Some Approximations Are Better
using the TI-83
Computing Binomial PDF | Computing Binomial CDF
variable
Binomial Probabilities
boundary convention
Relative Frequency Table and
boxplot
Box-and-Whisker Plot
categorical
Measurement Levels of Data | Summarizing Categorical Data
cdf of binomial
Computing Binomial Probabilities
census
Methods of Sample Selection
change to percentage
The Sample Proportion
chi square
curve
Testing for Independence between $r \times c$
degrees of freedom
Testing for Independence between $r \times c$
test for equal proportions
Testing for Equality of
test for independence
Testing for Independence between $r \times c$
test statistic
The Chi-Square Test Statistic
using the TI-83
Using the TI-83
chi square, $\chi^2$
Testing for Independence between $r \times c$
class width
Relative Frequency Table and | Relative Frequency Table and
cluster sample
Methods of Sample Selection
coefficient of variation
Other Measures of Spread
column total
Calculating the Table of
confidence interval
for difference between two proportions
Confidence Interval for the
for proportion
Estimating the Population Proportion
overview table
Overview of Confidence Intervals
using the TI-83
Computing a Confidence Interval $\mu$ | Computing a confidence interval $\mu_1-\mu_2$: | Computing a Confidence Interval p p
correlation
computing r
Computing the Pearson Correlation
examples
Correlation
formula
Computing the Pearson Correlation
Pearson r
Correlation
coverage errors
Types of Survey Errors
critical value
t
t-based Confidence Interval for | t-based Confidence Interval for
z
Estimating the Population Mean | Estimating the Population Mean
data
Statistics and Data
data list
Entering Data into a
degrees of freedom
chi square
Testing for Independence between $r \times c$
for t
t-based Confidence Interval for
descriptive statistics (in Excel)
How to get summary
dotplot
Dotplot
E(X)
Expected Value and SD | Expected Value and SD
empirical rule
The empirical rule for | The Standard Normal or
expected frequencies
Testing for Independence between $r \times c$
expected frequencies
how to calculate
Calculating the Table of
expected value
Expected Value and SD
explanatory variable
Simple Linear Regression
extreme observations
Symmetry and Skewness
failure
Binomial Probabilities
frame
Methods of Sample Selection
graph
Drawing a Boxplot or
H1
Test of Significance involving | Test of Significance involving
histogram
Relative Frequency Table and
histogram
of averages
Behavioral Properties of the
of individuals
Behavioral Properties of the | Drawing from a Nonnormal
of sample averages
Drawing from a Nonnormal
histogram (in Excel)
How to create a
hypothesis
Test of Significance involving
independent samples
Comparing Averages of Two
independent variables
Testing for Independence between $r \times c$
intercept
Simple Linear Regression
interval
Measurement Levels of Data
law of large numbers
The Sample Proportion
least squares, LS
Simple Linear Regression
leaves
Stem-and-Leaf Plot
levels of mesurement
Measurement Levels of Data
linear relationship
Correlation
lower-tailed test
Test of Significance involving
margin of error
for proportion
Sample Size for Estimating
for sample mean
Determining Sample Size for
marginal distribution
Calculating the Table of
MAX
Box-and-Whisker Plot
maximum
Box-and-Whisker Plot
mean
The Average and SD
mean
effect of sample size on SE
Estimating the Population Mean
of binomial
Expected Value and SD
measurement error
Types of Survey Errors
measurements
Statistics and Data
median
Box-and-Whisker Plot | Other Measures of Location
MIN
Box-and-Whisker Plot
minimum
Box-and-Whisker Plot
multiple regression
Multiple Linear Regression
multiple regression
equation
Multiple Linear Regression
multicollinearity
Multiple Linear Regression
nominal
Measurement Levels of Data
nonprobability samples
Methods of Sample Selection
nonresponse
Types of Survey Errors
normal curve
Computing Probabilities Using the
normal curve
empirical rule
The Standard Normal or
percentile
Calculating Percentiles Using the | Calculating Percentiles Using the
standard normal
The Standard Normal or
stem-and-leaf
Computing Probabilities Using the
using the TI-83
Calculating Areas under the | Computing Normal Curve probability a b | Computing Normal Curve percentile
Z
The Standard Normal or
null hypothesis
Test of Significance involving | Test of Significance involving
numerical
Measurement Levels of Data | Summarizing Categorical Data
observed frequencies
Testing for Independence between $r \times c$
ordinal
Measurement Levels of Data
outlying observations
Symmetry and Skewness
$\hat{p}$
effect of sample size on SE
Estimating the Population Proportion p
mean and SD
The Sample Proportion
normal curve approximation
The Sampling Distribution of $\hat{p}$
SE
Estimating the Population Proportion p
P-value
Test of Significance involving
paired samples
Comparing Averages of Two | Comparing Averages of Two
paired-t test
Examples
pie chart
Pie Chart
pilot sample
Determining Sample Size for
pooled SD
Comparing the Averages of
population
normal-shaped histogram
Drawing from a Nonnormal
mean
Drawing from a Nonnormal | Estimating the Population Mean
mean (see $\mu$)
Behavioral Properties of the
SD (see $\sigma$)
Behavioral Properties of the
population mean ($\mu$)
Estimating the Population Mean
population mean ($\mu$)
interval estimation
Estimating the Population Mean
population mean ($\mu$)
interval estimation
t-based Confidence Interval for
population proportion (p)
Estimating the Population Proportion
population proportion (p)
interval estimate of
Estimating the Population Proportion
interval estimation
Estimating the Population Proportion
sample size for estimation
Sample Size for Estimating
predicted value
Simple Linear Regression | More on Simple Regression
probability
binomial
Computing Binomial Probabilities
normal curve
Computing Probabilities Using the
probability distribution table
Computing Binomial Probabilities
probability samples
Methods of Sample Selection
proportion
$\hat{p}$
The Sample Proportion
confidence interval
Estimating the Population Proportion
effect of sample size on SE
Estimating the Population Proportion p
law of large numbers
The Sample Proportion
mean and SD
The Sample Proportion
normal curve approximation
The Sampling Distribution of $\hat{p}$
sample
The Sample Proportion
SE
Estimating the Population Proportion p
quartile
Box-and-Whisker Plot
R2
More on Simple Regression
random sample
Sample Surveys
range
Other Measures of Spread
ratio
Measurement Levels of Data
regression
R2
More on Simple Regression
ANOVA table
The Excel Printout | The Excel Printout
calculating LS line
Calculating the Least Squares
equation of LS line
Calculating the Least Squares
Excel printout
The Excel Printout
explanatory variable
Simple Linear Regression
formula for slope and intercept
Calculating the Least Squares
intercept
Simple Linear Regression
multiple
Multiple Linear Regression
predicted value
More on Simple Regression
prediction
Simple Linear Regression
residual
More on Simple Regression
response variable
Simple Linear Regression
scatterplot
Simple Linear Regression
simple linear
Simple Linear Regression
slope
Simple Linear Regression
SSE
More on Simple Regression
SSR
More on Simple Regression
SSTo
More on Simple Regression
unexplained variation
The Excel Printout
relative frequency
Relative Frequency Table
relative frequency table
Relative Frequency Table and
residual
More on Simple Regression
response variable
Simple Linear Regression
row total
Calculating the Table of
sample size
for proportion
Sample Size for Estimating
sampling methods
Sample Surveys
scatterplot
Correlation | Simple Linear Regression
SD
adding a constant
Adding a Constant
multiply by a constant
Multiplying by a constant
using the TI-83
Calculating $\overline{X}$ and S
SE
for difference between two proportions
Confidence Interval for the
of difference between means
Comparing the Averages of
of proportion
Estimating the Population Proportion p
of the sample mean
Estimating the Population Mean
SE, or standard error
of the mean
Estimating the Population Mean
simple random sample
Methods of Sample Selection
skewness
Symmetry and Skewness
slope
Simple Linear Regression
spread
Measures of Location | Other Measures of Spread
spreadsheet
Statistics and Data
SSE
More on Simple Regression
SSR
More on Simple Regression
SSTo
More on Simple Regression
standard deviation
The Average and SD
standard deviation
of binomial
Expected Value and SD
standard error (see SE)
Estimating the Population Proportion p | Estimating the Population Mean
standard normal curve
The Standard Normal or
statistics
Statistics and Data
stem
Stem-and-Leaf Plot
stem-and-leaf plot
Stem-and-Leaf Plot
stock prices
Measures of Location | Measures of Location | The Average and SD
stock prices
average
Measures of Location
dotplot
Interpreting the SD
SD
Measures of Location
strata
Methods of Sample Selection
stratified random sample
Methods of Sample Selection
subjects
Statistics and Data
success
Binomial Probabilities
summary statistics (in Excel)
How to get summary
symmetric
Symmetry and Skewness
systematic sample
Methods of Sample Selection
t
confidence interval
t-based Confidence Interval for
critical value
t-based Confidence Interval for | t-based Confidence Interval for | t-based Confidence Interval for
table of random numbers
Methods of Sample Selection
target population
Sample Surveys
test of hypothesis
Test of Significance involving
test of significance
Test of Significance involving
test statistic
Test of Significance involving
test statistic
chi square
The Chi-Square Test Statistic
chi square, $\chi^2$
Testing for Independence between $r \times c$
general pattern
Generalizing Tests of Significance
paired t
Examples
two propotions
Examples
using the TI-83
Calculating a t-test for $\mu$
thumb rule
for t
t-based Confidence Interval for
Trace (in TI-83)
Drawing a Boxplot or
two-tailed test
Two-tailed t-test
Type I error
Type I and Type
Type II error
Type I and Type
upper-tailed test
Upper-tailed t-test
variability
Measures of Location
variance
The Variance
without replacement
Methods of Sample Selection
$\overline{X}$
estimate of $\mu$
Estimating the Population Mean
sample mean (or sample average)
Estimating the Population Mean
z
confidence interval
Estimating the Population Mean
critical value
Estimating the Population Mean | Estimating the Population Mean
Z-curve (standard normal)
The Standard Normal or | The Standard Normal or
ZoomStat (in TI-83)
Drawing a Boxplot or



2003-09-08