Big Ideas Algebra 2 Chapter 8
March – April (4 weeks); 2nd Semester
Big Ideas Algebra 2 Chapter 8
March – April (4 weeks); 2nd Semester
Chapter Title(s):
Probability (Chapter 8)
Prepared Graduates:
MP1. Make sense of problems and persevere in solving them.
MP2. Reason abstractly and quantitatively.
MP3. Construct viable arguments and critique the reasoning of others.
MP4. Model with mathematics.
MP6. Attend to precision.
Standard(s):
3. Data, Statistics, and Probability
The highlighted evidence outcomes are the priority for all students, serving as the essential concepts and skills. It is recommended that the remaining evidence outcomes listed be addressed as time allows, representing the full breadth of the curriculum.
Students Can (Evidence Outcomes):
HS.S-CP.A. Conditional Probability & the Rules of Probability: Understand independence and conditional probability and use them to interpret data.
Describe events as subsets of a sample space (the set of outcomes) using characteristics (or categories) of the outcomes, or as unions, intersections, or complements of other events (“or,” “and,” “not”). (CCSS: HS.S-CP.A.1)
Explain that two events A and B are independent if the probability of A and B occurring together is the product of their probabilities, and use this characterization to determine if they are independent. (CCSS: HS.S-CP.A.2)
Using the conditional probability of A given B as P(A and B)/P(B), interpret the independence of A and B as saying that the conditional probability of A given B is the same as the probability of A, and the conditional probability of B given A is the same as the probability of B. (CCSS: HS.S-CP.A.3)
Construct and interpret two-way frequency tables of data when two categories are associated with each object being classified. Use the two-way table as a sample space to decide if events are independent and to approximate conditional probabilities. For example, collect data from a random sample of students in your school on their favorite subject among math, science, and English. Estimate the probability that a randomly selected student from your school will favor science given that the student is in 10th grade. Do the same for other subjects and compare the results. (CCSS: HS.S-CP.A.4)
HS.S-CP.B. Conditional Probability & the Rules of Probability: Use the rules of probability to compute probabilities of compound events in a uniform probability model.
Find the conditional probability of A given B as the fraction of B's outcomes that also belong to A, and interpret the answer in terms of the model. (CCSS: HS.S-CP.B.6)
Apply the Addition Rule, P(A or B) = P(A) + P(B) – P(A and B), and interpret the answer in terms of the model. (CCSS: HS.S-CP.B.7)
A star symbol (⭑) represents grade level expectations and evidence outcomes that make up a mathematical modeling standards category.
Additional Colorado Academic Standards Resources:
Please visit the complete 2020 Colorado Academic Standards for High School Mathematics to view the following:
Colorado Essential Skills and Mathematical Practices connections
Inquiry Questions
Coherence Connections
Prior Knowledge Connections:
Descriptive statistics and two-way frequency tables (Algebra 1)
Probability and compound events (Grade 7)
Academic Vocabulary & Language Expectations:
Probability experiment, outcomes, event, sample space, probability of an event, theoretical probability, geometric probabilities, experimental probability, two-way table, joint frequency, marginal frequencies, joint relative frequency, marginal relative frequency, conditional relative frequency, conditional probability, independent events, dependent events, compound event, overlapping, disjoint
Assessments:
SAT Suite Educator Question Bank (Content Domain: Problem-Solving and Data Analysis)
Instructional Resources & Notes:
Big Ideas Algebra 2 Chapter 8 (skip Lessons 8.6, 8.7)
Additional Modeling Tasks
Honors Algebra 2:
Honors Algebra 2 students can extend their learning beyond the Colorado Academic Standards with the following concepts and lessons:
Lesson 8.6: Permutations and Combinations
Lesson 8.7: Binomial Distributions