Unit 1
Chapter 3
I Can … 3.1 Interpret and use frequency tables to create bar charts.
3.2 Use bar charts to compare distributions.
3.3 Use contingency tables to find marginal and conditional distributions.
Chapter 4
I Can … 4.1 Construct and interpret graphical displays of distributions of univariate data.
4.2 Summarize distributions of univariate data.
4.3 Compare distributions of univariate data.
Chapter 5
I Can … 5.1 Construct and use boxplots to summarize distributions of univariate data.
5.2 Compare clusters, gaps, outliers, and shapes of distributions of univariate data.
Chapter 7
I Can … 7.1 Analyze patterns in scatterplots using bivariate data.
7.2 Find correlations in bivariate data.
7.3 Determine direction, form, and strength of association for bivariate data.
Chapter 8
I Can … 8.1 Find the Least Squares Regression Line of bivariate data.
8.2 Analyze bivariate data using residual plots.
8.3 Use the LSRL to find predicted values.
Chapter 9
I Can … 9.1 Analyze bivariate data using outliers, and influential points.
9.2 Discuss the effects of leverage and outliers.
9.3 Interpret slope and y-intercept.
Chapter 10
I Can … 10.1 Re-express data by taking the log, square root, reciprocal, or any other mathematical
operation on all values.
Unit 2
Chapter 12
I Can … 12.1 Discuss populations, samples, and random selection.
12.2 Plan and conduct a survey using the characteristics of a well-designed and well-conducted
survey.
12.3 Minimize bias in my surveys.
12.4 Explain and use various sampling methods. (Simple Random Sample, Stratified Random
12.5 Sample, Cluster Sampling)
Chapter 13
I Can … 13.1 Explain and use the characteristics of a well-designed and well-conducted experiment.
13.2 Define treatments, control groups, experimental units, random assignments, and
replication to plan and conduct an experiment.
13.3 Minimize sources of bias in my experiment.
13.4 Construct a completely randomized design for an experiment.
13.5 Plan and construct an experiment using randomized block design, including matched pairs
design.
Unit 3
Chapter 6
I Can … 6.1 Discuss the properties of the Normal Distribution to .
6.2 Use tables of the Normal Distribution to analyze patterns.
6.3 Find measurements using the Normal Distribution as a model.
Chapter 11
I Can … 11.1 Discuss randomness.
11.2 Generate random numbers using technology or random number table.
11.3 Conduct simulation of sampling distribution.
Chapter 14
I Can … 14.1 Calculate and discuss the probability of an event.
14.2 Use the Addition and Multiplication Rules.
14.3 Find and interpret the Expected Value and Standard Deviation of a random variable and
linear transformation of a random variable.
Chapter 15
I Can … 15.1 Calculate and discuss conditional probability.
15.2 Construct a tree diagram.
15.3 Formally discuss independence.
Chapter 16
I Can … 16.1 Interpret discrete random variables and their probability distributions.
16.2 Discuss the notion of independence versus dependence.
16.3 Calculate mean and standard deviation for sums and differences of individual random
variables.
Chapter 17
I Can … 17.1 Conduct Bernoulli Trials (Geometric and Binomial).
Unit 4
Chapter 18
I Can … 18.1 Calculate and discuss the sampling distribution of a sample proportion.
18.2 Calculate and discuss the sampling distribution of a sample mean.
18.3 Apply the Central Limit Theorem for a sampling distribution model.
18.4 Simulate a sampling distribution.
Chapter 19
I Can … 19.1 Discuss logic of confidence intervals, meaning of confidence levels and intervals, and
properties of confidence intervals.
19.2 Calculate large sample confidence interval for a proportion.
19.3 Calculate population parameters and margins of error.
Chapter 20
I Can … 20.1 Discuss logic of significance testing, null and alternative hypotheses and p-values.
20.2 Perform large sample test for a proportion.
Chapter 21
I Can … 21.1 Discuss logic of one- and two-sided tests, concepts of Type I and Type II Errors, and Power
of tests.
Chapter 22
I Can … 22.1 Calculate sampling distribution of a difference between two independent sample
proportions.
22.2 Calculate large sample confidence interval for a difference between two proportions.
22.3 Perform large sample test for a difference between two proportions.
Chapter 23
I Can … 23.1 Calculate a t-dist.
23.2 Calculate confidence intervals for a mean.
23.3 Perform a test of significance for a mean.
Chapter 24
I Can … 24.1 Calculate sampling distribution of a difference between two independent sample means.
24.2 Perform a confidence interval for a difference between two means (unpaired).
24.3 Perform a test of significance for a difference between two means (unpaired).
Chapter 25
I Can … 25.1 Perform a confidence interval for a difference between two means (paired).
25.2 Perform a test of significance for a difference between two means (paired).
Chapter 26
I Can … 26.1 Calculate a chi-square distribution.
26.2 Perform a chi-square test for goodness-of-fit, homogeneity of proportions, and
independence (one- and two-way tables.)
Chapter 27
I Can … 27.1 Calculate population parameters and margin of error.
27.2 Perform a confidence interval for the slope of a LSRL.
27.3 Perform a test for the slope of a LSRL.