
Chapter 1:
Elements of Statistics
 Explain
or
describe
what is meant by each of the terms in the Chapter
1
vocabulary list (p 16).
 Identify
the
population,
the sample,
the variables,
the raw
data,
sample
statistics,
and population
parameters,
given the description of a survey
(as
in
the Focus
on
Understanding on page 3).
 Identify
and
provide examples of
each
of the sampling
techniques
discussed
in
Chapter 1 and explain your reasoning.
 Classify
types
of
data and
give
examples
of
the different data types and explain your
reasoning.


Chapter 2:
Organizing and Displaying Data
 Explain or describe what is
meant by each of the terms in the vocabulary list.
 Construct and
interpret frequency and
relative frequency tables for
both categorical and numerical
data.
 Construct, interpret, and
compare bar graphs and circle
graphs for
categorical data.
 Construct, interpret, and
compare histograms, stemandleaf
plots, line plots, and line
graphs for
numerical data.
 Choose an appropriate
graph
for a given data set.
Identify potentially misleading
features
of graphs.


Chapter
3: Describing Data with Numbers
 Explain or
describe what is meant by each of the terms
in the vocabulary list.
 Given a data
set, calculate the mean, median,
mode, range, sample
standard deviation, and sample
variance.
 Create
a data set that has a given mean, median,
mode, range, and sample standard deviation.
 Predict
what will happen to the mean and median when
values are added or deleted to a data set.
 Apply
and calculate a weighted mean.
 Calculate the zscore
for an item or items in a data set.
 Given a zscore
and the corresponding mean and standard
deviation for a data set, determine the
value of the original data item.
 Calculate the fivenumber
summary for a given data set and
use that information to construct a boxandwhiskers
plot.
 Determine the outliers
for a data set using the interquartile
range.
 Given a
boxandwhiskers plot, determine the median,
lower quartile, upper
quartile, maximum value,
and minimum value.
 Compare
multiple data distributions using
boxandwhisker plots.


Chapter 4:
Data with Two Variables
 Explain or
describe what is meant by each of the terms
in the vocabulary list.
 Construct a
scatter plot from a given
data set.
 Determine
whether a scatter plot shows positive
correlation, negative
correlation, or no
correlation.
 Calculate and
interpret the Pearson's correlation
coefficient for a twovariable
data set.
 Use Pearson's correlation
coefficient to determine the strength
and direction of a linear relationship
between two variables.
 Determine the
equation of a line when you
know two points on the line or you know a
point on the line and the slope of the line.
 Calculate the
leastsquares linear regression
equation for a twovariable data
set.
 Use the
leastsquares line to make
predictions about values of
variables.
 Calculate and
plot the medianmedian line
for a twovariable data set.
 Use the
medianmedian line to make
predictions about values of
variables.


Chapter 5:
Probability
 Explain or
describe what is meant by each of the terms
in the vocabulary list.


Chapter 6:
Counting Techniques
 Explain or
describe what is meant by each of the terms
in the vocabulary list.


Chapter 7:
Random Variables and Probability Distributions
 Explain or
describe what is meant by each of the terms
in the vocabulary list.


Chapter 8:
Distributions From Random Samples
 Explain or
describe what is meant by each of the terms
in the vocabulary list.


Chapter 9:
Estimating with Confidence
 Explain or
describe what is meant by each of the terms
in the vocabulary list.


Chapter 10:
Testing Hypoteses
 Explain or
describe what is meant by each of the terms
in the vocabulary list.



