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https://mathbitsnotebook.com/Geometry/Modeling/MDDensityPractice.html

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EOC Review Session start Tuesday morning!

Here is a link to a tutorial of all the constructions we will do:

http://www.mathopenref.com/tocs/constructionstoc.html

Monday-Basic Constructions

Basic Constructions-examples-12rvtse

Tuesday-Constructions

Constructions2-Perp Bis and Circ-1ci3pm3

Wednesday-Constructions and Points of Concurrency

Constructions3-Triangles-16eu51o

Thursday-Constructions Quiz

Friday-Population Density

EOC Review Sessions

Tuesday, November 13th-Algebraic

Connections

7:30 am Session: Ms. McGinnis room 303

3:30 pm Session: Mr. Harmon room 305

Also, additional extra help is offered in room 105 after school.

Wednesday, November 14th-Probability

7:30 am Session: Ms. Walsh room 9225

Extra help is available in room 305 after school

Thursday, November 15th-Similarity and Trigonometry

7:30 am Session: Ms. McGinnis room 303

3:30 pm Session: Mr. Scott room 413

Also, additional extra help is offered in room 105 after school.

Tuesday, November 27th-Congruence and Transformations

7:30 am Session: Mr. Attaway room 416

3:30 pm Session: Mr. Harmon room 305

Also, additional extra help is offered in room 105 after school.

Wednesday, November 28th-Congruence and Transformations

7:30 am Session: Ms. Walsh room 9225

Extra help is available in room 305 after school.

Thursday, November 29th-Circles

7:30 am Session: Mr. Attaway room 416

3:30 pm Session: Mr. Scott room 413

Also, additional extra help is offered in room 105 after school.

Geometry students are allowed to replace one grade (test or quiz) by completing practice EOC Tests on USA Test Prep, under the following conditions.

USA Test Prep directions:

Log in to USA Test Prep.

To take test: Click on ‘Milestones EOC’ at the top of the page. Scroll down to ‘Geometry’ (NOT Analytic Geometry). Click on the orange ‘Take a Test’ icon on the left. Go down to ‘Choose Domain’. Select one of these categories: ‘Congruence’, ‘Similarity, Right Triangles and Trigonometry’, or ‘Circles’.

Choose your teacher and your class. (You must select these or your test will not be submitted.)

You are not allowed to retry any questions you miss. You may take as many tests as you want until the end of the day Friday, November 30th.

Requirements:

• A student may not replace a test or quiz that is a zero.

• The student must have a homework average of 80% or higher. (The homework average and classwork average must be an 80% on the date the USA Test Prep assignment is due. The only assignments that can be made up are the assignments a student missed as a result of an excused absence.)

• The student must complete at least two practice tests and receive a score of 50 or higher on at least two of the practice tests. The best score will count as their replacement grade.

• The student must turn in work in order for the tests to count. The work must be numbered and all steps must be shown. No tests will be accepted without the work that matches the test.

• The student must attend at least two EOC Review Sessions (from November 13th through November 29th). The schedule will be posted on the blog and in the classroom.

• The tests must be in one of the following domains:

Congruence and Similarity

Circles

• The practice tests must be completed by the end of the Friday, November 30th.

• A student may be asked to solve a problem or explain their work for a problem, or multiple problems, from the USA Test Prep test. If the student cannot demonstrate adequate knowledge of how to solve the problem(s), they will lose points for those problems.

Packet: 5 a packet fall 2018-16ymqui

Monday-Exponentials and Logarithmic Equations

Wednesday-Review

Thursday-Quiz

Friday-Applications of Logarithms

Analyze functions using different representations

MGSE9-12.F.IF.7 Graph functions expressed algebraically and show key features of the graph both by hand and by using technology.

MGSE9-12.F.IF.7e Graph exponential and logarithmic functions, showing intercepts and end behavior, and trigonometric functions, showing period, midline, and amplitude.

MGSE9-12.F.IF.8 Write a function defined by an expression in different but equivalent forms to reveal and explain different properties of the function.

MGSE9-12.F.IF.8b Use the properties of exponents to interpret expressions for exponential functions. For example, identify percent rate of change in functions such as y = (1.02)t, y = (0.97)t, y = (1.01)(12t), y = (1.2)(t/10), and classify them as representing exponential growth and decay.

Building Functions F.BF

Build a function that models a relationship between two quantities

MGSE9-12.F.BF.1 Write a function that describes a relationship between two quantities.

MGSE9-12.F.BF.5 Understand the inverse relationship between exponents and logarithms and use this relationship to solve problems involving logarithms and exponents.

Linear, Quadratic, and Exponential Models F.LE

Construct and compare linear, quadratic, and exponential models and solve problems

MGSE9-12.F.LE.4 For exponential models, express as a logarithm the solution to ab(ct) = d where a, c, and d are numbers and the base b is 2, 10, or e; evaluate the logarithm using technology.

Monday-Independent Probability

notes:Independent Prob-1qq9i3g

Independent vs Dependent HW-2lkcxy4

Independent vs Dependent – KEY-2lqb88v

Wednesday-Review

Stations: Probability Review Stations-169f1z2

Work for stations with answers: Probability work for stations-1hplp0m

Thursday-Review

Prob Mixed Review Homework-1fyxryw

Probability Review-Diagrams Tables & Words-1bm75jf

Probability Review-KEY-240hj3b

Probability-Ind vs. Dep. KEY-28xdafg

Probabilty Review – KEY-15ypm3u

Friday-Test

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.

Monday-Test

Packet for the next Unit:

Unit 5 Log & Exp Packet S18-uwsvt6

Tuesday-Introduction to Logarithms

Wednesday-Properties of Logarithms

Thursday-Solving Logarithmic Equations

Friday-Solving Exponential Equations; Converting Exponentials

Standards:

Analyze functions using different representations

MGSE9-12.F.IF.7 Graph functions expressed algebraically and show key features of the graph both by hand and by using technology.

MGSE9-12.F.IF.7b Graph square root, cube root, and piecewise-defined functions, including step functions and absolute value functions.

MGSE9-12.F.IF.7c Graph polynomial functions, identifying zeros when suitable factorizations are available, and showing end behavior.

MGSE9-12.F.IF.7d Graph rational functions, identifying zeros and asymptotes when suitable factorizations are available, and showing end behavior.

MGSE9-12.F.IF.7e Graph exponential and logarithmic functions, showing intercepts and end behavior, and trigonometric functions, showing period, midline, and amplitude.

MGSE9-12.F.IF.8 Write a function defined by an expression in different but equivalent forms to reveal and explain different properties of the function.

MGSE9-12.F.IF.8b Use the properties of exponents to interpret expressions for exponential functions. For example, identify percent rate of change in functions such as y = (1.02)t, y = (0.97)t, y = (1.01)(12t), y = (1.2)(t/10), and classify them as representing exponential growth and decay.

Probability-Next Test is November 9

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

notes:Vocabulary Set Notation and Venn Diagrams-ui0pon

Tuesday-Sets and Venn Diagrams

notes:Vocabulary Set Notation and Venn Diagrams-ui0pp3

Wednesday-Overlapping and Mutually Exclusive Events

notes:Overlapping and Mutually_Exclusive-2fkt4wa

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.