Probability-Next Test is November 9

Monday-Vocabulary, Set Notation, Counting Principle and Venn Diagrams

notes:Vocabulary Set Notation and Venn Diagrams-ui0pon

Counting Principle-1b74giw

Counting Principle-1b74gkl

Tuesday-Sets and Venn Diagrams

notes:Vocabulary Set Notation and Venn Diagrams-ui0pp3

Venn Diagrams HW-16id7ic

Venn Diagrams HW-KEY-15bf578

Wednesday-Overlapping and Mutually Exclusive Events

notes:Overlapping and Mutually_Exclusive-2fkt4wa

Mutually Exclusive HW-1ke2mm2

Mutually Exclusive and Overlapping-1ul57lt

Thursday-Conditional Probabilities from Tables

notes:Conditional Prob-2eh399v

Classwork – Conditional Probability-ssl005

Conditional Probabilities HW-1zi4zfk

Friday-Review of Overlapping, Mutually Exclusive Events and Conditional Probabilities from Tables

Counting Principle & Mutually Exclusive and Overlapping Probabilities-1zn1c0c

Standards:

Conditional Probability and the Rules of Probability

Understand independence and conditional probability and use them to interpret data

MGSE9-12.S.CP.1 Describe categories of events as subsets of a sample space using unions, intersections, or complements of other events (or, and, not).

MGSE9-12.S.CP.2 Understand that if two events A and B are independent, the probability of A and B occurring together is the product of their probabilities, and that if the probability of two events A and B occurring together is the product of their probabilities, the two events are independent.

MGSE9-12.S.CP.3 Understand the conditional probability of A given B as P (A and B)/P(B). Interpret independence of A and B in terms of conditional probability; that is, 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.

MGSE9-12.S.CP.4 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, use collected 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 tenth grade. Do the same for other subjects and compare the results.

MGSE9-12.S.CP.5 Recognize and explain the concepts of conditional probability and independence in everyday language and everyday situations. For example, compare the chance of having lung cancer if you are a smoker with the chance of being a smoker if you have lung cancer.

Use the rules of probability to compute probabilities of compound events in a uniform probability model

MGSE9-12.S.CP.6 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 context.

MGSE9-12.S.CP.7 Apply the Addition Rule, P(A or B) = P(A) + P(B) – P(A and B), and interpret the answers in context.