Index

association

Relative Frequency Table and

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

boxplot

Measurement Levels of Data | Summarizing Categorical Data

categorical

cdf of binomial

Computing Binomial Probabilities

census

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, $\chi^2$

Relative Frequency Table and | Relative Frequency Table and

class width

cluster sample

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

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

expected frequencies

how to calculate: Calculating the Table of

expected value

Expected Value and SD

explanatory variable

extreme observations

failure

Binomial Probabilities

frame

Test of Significance involving | Test of Significance involving

graph

Drawing a Boxplot or

H₁

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

Comparing Averages of Two

independent samples

independent variables

intercept

interval

law of large numbers

The Sample Proportion

least squares, LS

leaves

Stem-and-Leaf Plot

levels of mesurement

linear relationship

Correlation

lower-tailed test

margin of error

for proportion: Sample Size for Estimating
for sample mean: Determining Sample Size for

marginal distribution

Calculating the Table of

MAX

maximum

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

Box-and-Whisker Plot | Other Measures of Location

median

MIN

minimum

Multiple Linear Regression

multiple regression

multiple regression

equation: Multiple Linear Regression
multicollinearity: Multiple Linear Regression

nominal

nonprobability samples

Computing Probabilities Using the

nonresponse

Types of Survey Errors

normal curve

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

ordinal

outlying observations

$\hat{p}$

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

Comparing Averages of Two | Comparing Averages of Two

paired samples

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

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

R²

random sample

Sample Surveys

range

Other Measures of Spread

ratio

Relative Frequency Table and

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

residual

response variable

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

skewness

slope

spread

Measures of Location | Other Measures of Spread

spreadsheet

SSE

SSR

SSTo

Estimating the Population Proportion p | Estimating the Population Mean

standard deviation

The Average and SD

standard deviation

of binomial: Expected Value and SD

standard error (see SE)

standard normal curve

The Standard Normal or

statistics

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

stratified random sample

subjects

success

Binomial Probabilities

summary statistics (in Excel)

How to get summary

symmetric

systematic sample

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

target population

Sample Surveys

test of hypothesis

test of significance

test statistic

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)

two-tailed test

Type I error

Type II error

upper-tailed test

Upper-tailed t-test

variability

Measures of Location

variance

The Variance

without replacement