What's Happening in Geometry?
Week Thirty-One: April 4 ~ April 8
Reminders
- Join REMIND!!! Text @fhsmath2 to 81010--> Download the app to your smartphone
- Follow Mrs. Naylor on her website: http://tinyurl.com/fhsnaylor --> Class notes and homework assignments are posted DAILY!!!
- Online Assignments at mathxlforschool.com are due every Thursday morning at 7am
- Peer Tutoring Available Tuesday/Thursday in the Media Center after school
- Textbook resource: Big Ideas Math
MONDAY, APRIL 4, 2016
Math XL For School AIR Review
Assignment~
Assignment~
- Spiral #30 due Thursday, 7am
TUESDAY, APRIL 5, 2016
Section 11-1: Fundamental Counting Principle, Permutations, Combinations
Ohio Learning Standard(s): S-CP-9
I CAN: Use permutations and combinations to compute probabilities of compound events and solve problems.
Assignment~
Ohio Learning Standard(s): S-CP-9
I CAN: Use permutations and combinations to compute probabilities of compound events and solve problems.
Assignment~
- Spiral #30 due Thursday, 7am
WEDNESDAY, APRIL 6, 2016
Section 11-1: Fundamental Counting Principle, Permutations, Combinations
Ohio Learning Standard(s): S-CP-9
I CAN: Use permutations and combinations to compute probabilities of compound events and solve problems.
Assignment~
Ohio Learning Standard(s): S-CP-9
I CAN: Use permutations and combinations to compute probabilities of compound events and solve problems.
Assignment~
- HW 11-1: Fundamental Counting Principle, Permutations, Combinations
- Spiral #30 due Thursday, 7am
THURSDAY, APRIL 7, 2016
Section 11-2: Theoretical Probability
I CAN: 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").
Assignment ~
- HW 11-2: Theoretical Probability
- Spiral #31 due Thursday, 7am
FRIDAY, APRIL 8, 2016
Section 11-3: Conditional Probability
I CAN: 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").
I CAN: Understand 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.
I CAN: 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.
I CAN: 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.
I CAN: Recognize and explain the concepts of conditional probability and independence in everyday language and everyday situations.
I CAN: 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.
I CAN: Apply the general Multiplication Rule in a uniform probability model, P(A and B) = P(A)P(B|A) = P(B)P(A|B), and interpret the answer in terms of the model.
Assignment ~
- HW 11-3: Conditional Probability
- Spiral #31 due Thursday, 7am