Probability and Statistics - Apex Learning
Core
Probability and Statistics
Probability and Statistics provides a curriculum focused on understanding key data analysis and probabilistic concepts,
calculations, and relevance to real-world applications. Students are challenged to work toward mastery of computational
skills, apply calculators and other technology in data analysis, deepen their understanding of key ideas and solution
strategies, and extend their knowledge through a variety of problem-solving applications.
Course topics include types of data, common methods used to collect data, and representations of data, including
histograms, bar graphs, box plots, and scatterplots. Students learn to work with data by analyzing and employing methods
of extending results, involving samples and populations, distributions, summary statistics, experimental design, regression
analysis, simulations, and confidence intervals.
Ideas involving probability ¡ª including sample space, empirical and theoretical probability, expected value, and independent
and compound events ¡ª are covered as students explore the relationship between probability and data analysis.
Extended projects allow for more open-ended, extended applications of concepts and skills. Students collect and analyze
statistical data about a topic that interests them, and they apply probability concepts in a real-world context.
The content is based on the Common Core standards and is aligned with state standards.
Length: Two Semesters
UNIT 1: INTRODUCTION TO STATISTICS
Lesson 1: What Is Statistics?
Lesson 2: Collecting Data
Lesson 3: Random Sampling
Lesson 4: Experimental Design
Lesson 5: Introduction to Statistics Wrap-Up
UNIT 2: DESCRIBING DATA GRAPHICALLY
Lesson 1: Categorical Data
Lesson 2: Numerical Data
Lesson 3: Two-Way Frequency Tables
Lesson 4: Describing Data Graphically Wrap-Up
UNIT 3: MEASURES OF CENTER AND SPREAD
Lesson 1: Measures of Center
Lesson 2: Measures of Spread
Lesson 3: Box Plots
Lesson 4: Project
Lesson 5: Measures of Center and Spread Wrap-Up
UNIT 4: DESCRIBING DATA SETS
Lesson 1: Describing Distributions
Lesson 2: Comparing Distributions
Lesson 3: Transforming Univariate Data
Lesson 4: Describing Data Sets Wrap-Up
UNIT 5: MODELING DATA
Lesson 1: Linear Models in Data
Probability and Statistics
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Lesson 2: Correlation
Lesson 3: Regression Methods
Lesson 4: Assessing Data Models
Lesson 5: Nonlinear Models
Lesson 6: Transforming Bivariate Data
Lesson 7: Modeling Data Wrap-Up
UNIT 6: SEMESTER 1 REVIEW AND EXAM
Lesson 1: Semester 1 Review and Exam
UNIT 7: INTRODUCTION TO PROBABILITY
Lesson 1: Random Outcomes, Sample Spaces, and Events
Lesson 2: Permutations and Combinations
Lesson 3: Independent and Dependent Events
Lesson 4: Conditional Probability
Lesson 5: Introduction to Probability Wrap-Up
UNIT 8: APPLICATIONS OF PROBABILITY
Lesson 1: Using Two-Way Frequency Tables
Lesson 2: Using Probability to Make Decisions
Lesson 3: Simulations
Lesson 4: Project
Lesson 5: Applications of Probability Wrap-Up
UNIT 9: DISCRETE PROBABILITY DISTRIBUTIONS
Lesson 1: Discrete Random Variables
Lesson 2: Binomial Probability
Lesson 3: Cumulative Binomial Probability Distributions
Lesson 4: Discrete Probability Distributions Wrap-Up
UNIT 10: CONTINUOUS PROBABILITY DISTRIBUTIONS
Lesson 1: Continuous Random Variables
Lesson 2: Normal Distributions
Lesson 3: z -Scores
Lesson 4: Continuous Probability Distributions Wrap-Up
UNIT 11: SAMPLING AND CONFIDENCE INTERVALS
Lesson 1: Sample Means
Lesson 2: Sample Proportions
Lesson 3: Confidence Intervals: Sample Means
Lesson 4: Confidence Intervals: Sample Proportions
Lesson 5: Evaluating Statistical Studies
Lesson 6: Sampling and Confidence Intervals Wrap-Up
UNIT 12: SEMESTER 2 REVIEW AND EXAM
Lesson 1: Semester 2 Review and Exam
Probability and Statistics
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