Conditional Probability and the Rules of Probability in Trigonometry

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Grade Levels

10th - 12th

Subjects

Trigonometry, Special Education, Early Intervention

Resource Type

Professional Documents

Standards

CCSSHSS-CP.A.1

CCSSHSS-CP.A.3

CCSSHSS-CP.A.4

CCSSHSS-CP.A.5

CCSSHSS-CP.B.6

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Pages

9 pages

$5.00

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Do you feel frustrated and overwhelmed with everything on your plate? No need to sweat the small stuff. Relieve your current and future headaches with these premade IEP goals. There is no mixing and matching needed. These are premade High School Trigonometry IEP goal bundles designed to save you val
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Standards

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Description

Do you feel frustrated and overwhelmed with everything on your plate? No need to sweat the small stuff. Relieve your current and future headaches with these premade IEP goals. There is no mixing and matching needed. This premade High School Conditional Probability and the Rules of Probability in Trigonometry IEP goals bundle is designed to save you valuable time, frustration, and headaches. Simply fill in the bold information to personalize each goal.

This is a High Schools Conditional Probability and the Rules of Probability in Trigonometry IEP goals bundle. All goals are aligned with Common Core standards and written for IDEA compliance. Each goal has several options to choose from, depending on the student's academic level and whether they are inclusive or self-contained. Every Common Core standard is listed for easy reference according to the skill.

PLEASE NOTE the purchase of one license for this product grants permission for use by one classroom/teacher only.

Total Pages

9 pages

Answer Key

N/A

Teaching Duration

N/A

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Standards

to see state-specific standards (only available in the US).

CCSSHSS-CP.A.1

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”).

CCSSHSS-CP.A.3

Understand the conditional probability of 𝘈 given 𝘉 as 𝘗(𝘈 and 𝘉)/𝘗(𝘉), and interpret 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.

CCSSHSS-CP.A.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, 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 tenth grade. Do the same for other subjects and compare the results.

CCSSHSS-CP.A.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.

CCSSHSS-CP.B.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 terms of the model.

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