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Chapter 12.1 Common Core – N.VM.6 Use matrices to represent and manipulate data to represent payoffs or incidence relationships in a network. Objectives.

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Presentation on theme: "Chapter 12.1 Common Core – N.VM.6 Use matrices to represent and manipulate data to represent payoffs or incidence relationships in a network. Objectives."— Presentation transcript:

1 Chapter 12.1 Common Core – N.VM.6 Use matrices to represent and manipulate data to represent payoffs or incidence relationships in a network. Objectives – To organize data in a matrix. To add and subtract matrices and multiply a matrix by a scalar.

2 Chapter 12.2 Common Core – S.ID.1 & N.Q.1 Represent data with plots on the real number line. Objective – To make and interpret frequency tables and histograms.

3 Chapter 12.3 Common Core – S.ID.2, S.ID.3, & N.Q.2 Use statistics appropriate to the …data distribution to compare center and spread of two or more different data sets. Objective – To find mean, median, mode, and range.

4 Chapter 12.4 Common Core – S.ID.2, N.Q.1, & S.ID.1 Use statistics appropriate to the …data distribution to compare center and spread of two or more different data sets. Objectives – To make and interpret box-and- whisker plots. To find quartiles and percentiles.

5 Chapter 12.5 Common Core – S.IC.3 Recognize the purposes of and differences among sample surveys, experiment, and observational studies. Objective – To classify data and analyze samples and surveys.

6 Chapter 12.6 Common Core – S.CP.9 Use permutations and combinations to compute probabilities of compound events and solve problems. Objective – To find permutations and combinations.

7 Chapter 12.7 Common Core – S.CP.1 & S.CP.4 Describe events as subset of a sample space using characteristics of the outcomes, or as…complements of other events. Objective – To find theoretical and experimental probabilities.

8 Chapter 12.8 Common Core – S.CP.7 & S.CP.8 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. Objectives – To find probabilities of mutually exclusive and overlapping events. To find probabilities of independent and dependent events.


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