Standards - Mathematics

MA19.MM.19

Construct a sampling distribution for a random event or random sample.

COS Examples

Examples: How many times do we expect a fair coin to come up heads“ in 100 flips and on average how far away from this expected value do we expect to be on a specific set of flips? What do we expect to be the average height for a random sample of students in a local high school given the mean and standard deviation of the heights of all students in the high school?

Unpacked Content

Knowledge

Students know:

  • The circumference of any circle is 2πr and therefore, the circumference of a unit circle is 2π.

Skills

Students are able to:

  • Translate between arc length and central angle measures in circles.

Understanding

Students understand that:

  • Radians measure angles as a ratio of the arc length to the radius.
  • The unit circle has a circumference of 2π which aids in sense making for angle measure as revolutions (one whole revolution measures 2π radians) regardless of radius.
  • Use of the unit circle gives a one-to-one ratio between arc length and the measure of the central angle, putting the angle in direct proportion to the arc length, and that the circle can then be divided up to find the radian measure of other angles.

Vocabulary

  • Radian measure
  • Constant of proportionality
  • Unit circle
  • Intercepted arc

MA19.MM.20

Perform inference procedures based on the results of samples and experiments.

Unpacked Content

Knowledge

Students know:
  • how to calculate the margin of error in a statistical sample.
  • how to express the confidence interval for a statistical sample or experiment.
  • how to perform a significance test.
  • how to use the results of the significance test to either support or refute a claim.

Skills

Students are able to:
  • Calculate the margin of error.
  • Determine a confidence interval.
  • perform a significance test.
  • Use the results of the significance test to support or refute the null hypothesis.

Understanding

Students understand that:
  • hypothesis testing is used to evaluate claims about a population.
    • a confidence interval helps to determine the size of a sample needed to provide accurate calculations.

Vocabulary

  • Point Estimator
  • Margin of Error
  • Confidence Interval
  • Significance Test
  • Null Hypothesis
  • Hypothesis

MA19.MM.20d

Interpret the significance level of a test in the context of error probabilities, and use the results to make strategic decisions.

COS Examples

Example: How do you reduce the rate of human error on the floor of a manufacturing plant?

MA19.MM.21

Critique the validity of reported conclusions from statistical studies in terms of bias and random error probabilities.

Unpacked Content

Knowledge

Students know:
  • what constitutes a bias in a statistical study.
  • The accepted statistical process that can be used to analyze results from a statistical study.

Skills

Students are able to:
  • Calculate and interpret results from a statistical study.
  • Calculate random error probability.
  • Identify biases that can affect the validity of a mathematical argument.

Understanding

Students understand that:
  • A valid mathematical argument is based on rigorous statistical processes.
  • bias and random error probability can affect the validity of a mathematical argument.

Vocabulary

  • Validity
  • Bias
  • Random Error Probability

MA19.MM.22

Conduct a randomized study on a topic of student interest (sample or experiment) and draw conclusions based upon the results.

COS Examples

Example: Record the heights of thirty randomly selected students at your high school. Construct a confidence interval to estimate the true average height of students at your high school. Question whether or not this data provides significant evidence that your school’s average height is higher than the known national average, and discuss error probabilities.

Unpacked Content

Knowledge

Students know:
  • how to design a statistical study.
  • how to collect data.
  • how to construct confidence intervals.
  • how to use confidence intervals to make decisions.
  • how to conduct a hypothesis test.
  • how to use the hypothesis test to make a decision.
  • how to communicate the results of their study.

Skills

Students are able to:
  • Collect data appropriately.
  • Calculate and interpret results from a statistical study.
  • Calculate margin of error.
  • Construct confidence intervals.
  • Conduct hypothesis tests.

Understanding

Students understand:
  • how to design and conduct a statistical study and are able to communicate their findings to others.

Vocabulary

  • Randomized Study
  • Sample
  • Experiment

MA19.FM.1

Represent logic statements in words, with symbols, and in truth tables, including conditional, biconditional, converse, inverse, contrapositive, and quantified statements.

Unpacked Content

Knowledge

Students know:

  • How to determine if a simple statement is true or false.

Skills

Students are able to:

  • Construct a truth table for propositions with a variety of operators.
  • Write a proposition using logical operators and statement variables such as p and q.
  • Write the converse, inverse, contrapositive and biconditional of a conditional statement using logical operators and statement variables.

Understanding

Students understand that:

  • A conditional statement’s validity is based on the validity of its components.
  • Truth tables must contain all possible assignments of true and false for each component.
  • A statement is either true or false.

Vocabulary

  • Proposition
  • Statement variables
  • Logical operators
  • Truth table
  • Negation
  • Conditional statement
  • Hypothesis/antecedent
  • Conclusion/consequent
  • Converse statement
  • Inverse statement
  • Contrapositive statement
  • Biconditional statement
  • Equivalent statements

MA19.FM.2

Represent logic operations such as and, or, not, nor, and x or (exclusive or) in words, with symbols, and in truth tables.

Unpacked Content

Knowledge

Students know:

  • A statement is either true or false.
  • A truth table must include every possible assignment of true and false for each component of a compound statement.

Skills

Students are able to:

  • Construct a truth table for a compound statement.
  • Represent compound statements using statement variables and logical operators.

Understanding

Students understand that:

  • The validity of the simple statements that make up a compound statement determine the compound statement’s validity.

Vocabulary

  • Compound statement
  • Negation
  • Conjunction
  • Disjunction

MA19.FM.3

Use truth tables to solve application-based logic problems and determine the truth value of simple and compound statements including negations and implications.

Unpacked Content

Knowledge

Students know:

  • How to construct a truth table from a given logic statement.

Skills

Students are able to:

  • Represent an application-based logic problem as a statement(s) using logical operators and statement variables.
  • Construct a truth table to determine a solution to a logic problem.

Understanding

Students understand that:

  • Complex situations including logic problems can be modeled using truth tables.
  • Statements are logically equivalent if they have the same truth value for every possible assignment of true and false for each component.

Vocabulary

  • Equivalent statements or logical equivalence

MA19.FM.4

Determine whether a logical argument is valid or invalid, using laws of logic such as the law of syllogism and the law of detachment.

Unpacked Content

Knowledge

Students know:

  • How to construct a truth table from a given logic statement.

Skills

Students are able to:

  • Construct valid arguments.
  • Identify the validity of arguments.

Understanding

Students understand that:

  • Truth tables can be used to construct a valid argument or to determine the validity of an argument.
  • In order for an argument to be valid, the form of the argument must be valid.

Vocabulary

  • Tautology
  • Contradiction
  • Law of syllogism
  • Law of detachment/modus ponens

MA19.FM.5

Prove a statement indirectly by proving the contrapositive of the statement.

Unpacked Content

Knowledge

Students know:

  • A contrapositive is formed by negating both the hypothesis/antecedent and conclusion/consequent and reversing the direction of inference.
  • Proofs can be constructed by assuming that a hypothesis/antecedent is true and deducing that the conclusion/consequent is true.

Skills

Students are able to:

  • Write the contrapositive statement for a conditional statement such as a property of integers or other mathematical properties.
  • Construct a logical argument to prove a statement (such as a property of integers) is true by proving the contrapositive.

Understanding

Students understand that:

  • The contrapositive of a statement is logically equivalent to a statement.
  • A statement can be shown to be true by the laws of logic by proving that its contrapositive is true.

Vocabulary

  • Contrapositive
  • Proof by contrapositive
  • Indirect proof
  • hypothesis/antecedent
  • Conclusion/consequent

MA19.FM.6

Use multiple representations and methods for counting objects and developing more efficient counting techniques. Note: Representations and methods may include tree diagrams, lists, manipulatives, overcounting methods, recursive patterns, and explicit formulas.

Unpacked Content

Knowledge

Students know:

  • Tree diagrams can be used to systematically list all possibilities for a given set of constraints.

Skills

Students are able to:

  • List all possible outcomes for a given set of constraints

Understanding

Students understand that:

  • Tree diagrams and other systematic methods can be used to count objects but may not be the most efficient method when counting large quantities.
  • Recursive and explicit formulas can be developed from examining patterns in tree diagrams and systematic lists.

Vocabulary

  • Tree diagram
  • Recursive pattern
  • Explicit formula

MA19.FM.7

Develop and use the Fundamental Counting Principle for counting independent and dependent events.

Unpacked Content

Knowledge

Students know:

  • How to construct a tree diagram.

Skills

Students are able to:

  • Count the number of events when given a variety of constraints/parameters when the Fundamental Counting Principle can be applied.

Understanding

Students understand that:

  • The Fundamental Counting Principle can be applied in contexts where an ordered list of events occur and there are a ways for the first event to occur, b ways for the second event to occur so the number of ways of the ordered sequence of events occuring is axb.

Vocabulary

  • Fundamental counting principle
  • Independent events
  • Dependent events
  • Tree diagram
  • Branches
  • Node

MA19.FM.7a

Use various counting models (including tree diagrams and lists) to identify the distinguishing factors of a context in which the Fundamental Counting Principle can be applied.

COS Examples

Example: Apply the Fundamental Counting Principle in a context that can be represented by a tree diagram in which there are the same number of branches from each node at each level of the tree.

MA19.FM.8

Using application-based problems, develop formulas for permutations, combinations, and combinations with repetition and compare student-derived formulas to standard representations of the formulas.

COS Examples

Example: If there are r objects chosen from n objects, then the number of permutations can be found by the product $[n(n-1) … (n-r)(n-r+1)]$ as compared to the standard formula $n!/(n-r)!$.

Unpacked Content

Knowledge

Students know:

  • How to use tree diagrams or other counting models .

Skills

Students are able to:

  • Calculate the number of permutations or combinations for a real-world context.

Understanding

Students understand that:

  • Permutation is an ordered selection of r distinct objects from a set of n objects.
  • A combination is a selection of a set of r distinct unordered objects from a set of n objects.

Vocabulary

  • Permutations
  • Combinations

MA19.FM.8a

Using application-based problems, develop formulas for permutations, combinations, and combinations with repetition and compare student-derived formulas to standard representations of the formulas.

COS Examples

Example: If there are r objects chosen from n objects, then the number of permutations can be found by the product $[n(n-1) … (n-r)(n-r+1)]$ as compared to the standard formula $n!/(n-r)!$.

MA19.FM.9

Use various counting techniques to determine probabilities of events.

Unpacked Content

Knowledge

Students know:

  • Probability.
  • Permutations and Combinations.
  • Tree diagrams.

Skills

Students are able to:

  • Use a tree diagram or other systematic listing method to determine the number of possible outcomes in an application-based problem.
  • Use combinations and permutations to count the number of possible outcomes in an application -based problem.
  • Determine the probability of an event.

Understanding

Students understand that:

  • Solving probability in a discrete setting requires first applying combinatorial reasoning and counting techniques to determine the size of the event of interest.
  • Some events consist of a sequence of (or partition into) smaller events that may be independent or dependent.

Vocabulary

  • Tree diagrams
  • Combinations
  • Permutations
  • Sample size
  • Independent events
  • Dependent events
  • Mutually exclusive (disjoint) events

MA19.FM.10

Use the Pigeonhole Principle to solve counting problems.

Unpacked Content

Knowledge

Students know:

  • How to construct counting models.

Skills

Students are able to:

  • Solve a combinatorial problem using the Pigeonhole principle.

Understanding

Students understand that:

  • If m>n and there are m pigeons (or any object) and n pigeonholes (or any position), there must be at least one pigeonhole with more than one pigeon.

Vocabulary

  • Pigeonhole principle

MA19.FM.11

Find patterns in application problems involving series and sequences, and develop recursive and explicit formulas as models to understand and describe sequential change.

COS Examples

Examples: fractals, population growth

Unpacked Content

Knowledge

Students know:

  • How to use inductive counting methods such as lists.

Skills

Students are able to:

  • Use inductive counting methods to collect data for conjecturing.
  • Find recursive formulas from collected data.
  • Develop explicit formulas.

Vocabulary

  • Difference equation
  • Recursive process
  • Recursive formula
  • Sequences
  • Series

MA19.FM.12

Determine characteristics of sequences, including the Fibonacci Sequence, the triangular numbers, and pentagonal numbers.

COS Examples

Example: Write a sequence of the first 10 triangular numbers and hypothesize a formula to find the nth triangular number.

Unpacked Content

Knowledge

Students know:

  • How to recognize a pattern.

Skills

Students are able to:

  • Identify the pattern in a sequence.
  • Explain why a pattern occurs.

Understanding

Students understand that:

  • The recursion process can be applied to many situations.
  • A sequence lists the solutions of a set of related problems.
  • Formulas can be hypothesized by identifying how the problems are related.

Vocabulary

  • Recursive process
  • Recursive formula
  • Triangular numbers
  • Pentagonal numbers
  • Fibonacci sequence
  • Closed Formula

MA19.FM.13

Use the recursive process and difference equations to create fractals, population growth models, sequences, and series.

Unpacked Content

Knowledge

Students know:

  • How to recognize a pattern.

Skills

Students are able to:

  • Apply recursive formulas in real-world contexts.

Understanding

Students understand that:

  • Models such as population growth should be recognized as recursively developed models.
  • The recursion process can be applied to many situations.
  • A sequence lists the solutions of a set of related problems.

Vocabulary

  • Difference equation
  • Recursive process
  • Recursive formula
  • Fractals
  • Population growth models
  • Sequences
  • Series

MA19.FM.14

Use mathematical induction to prove statements involving the positive integers.

COS Examples

Examples: Prove that 3 divides $2^{2n}- 1$ for all positive integers n; prove that $1 + 2 + 3 + … + n = n(n + 1)/2$; prove that a given recursive sequence has a closed form expression.

Unpacked Content

Knowledge

Students know:

  • How to find equivalent expressions.

Skills

Students are able to:

  • Show that a statement is true for the first case, generally n=1.
  • Show that a statement is true for n=k+1 if it is assumed that the statement is true for n=k.

Understanding

Students understand that:

  • Proof by induction is a way of proving statements that includes two steps.

Vocabulary

  • Proof by mathematical induction

MA19.FM.15

Use mathematical induction to prove statements involving the positive integers.

COS Examples

Examples: Prove that 3 divides $2^{2n}- 1$ for all positive integers n; prove that $1 + 2 + 3 + … + n = n(n + 1)/2$; prove that a given recursive sequence has a closed form expression.

Unpacked Content

Knowledge

Students know:

  • How to calculate combinations.

Skills

Students: Use recursive pattern to construct Pascal’s triangle.

  • Compare combinations to each row of Pascal's triangle to identify each row as the set of all combinations for a given set of objects.
  • Understanding

    Students understand that:

    • Each row in Pascal’s triangle is the number of combinations of N take r where N is the row of the triangle starting with N=0 and r is the entry in the row from left to right.

    Vocabulary

    • Pascal's Triangle
    • Recursion
    • Combinations

    MA19.FM.16

    Use vertex and edge graphs to model mathematical situations involving networks.

    Unpacked Content

    Knowledge

    Students know:

    • How to construct a vertex and edge structure

    Skills

    Students are able to:

    • Determine what a vertex and an edge would represent in modeling a real-world problem.
    • Construct simple graphs, complete graphs, bipartite graphs, complete bipartite graphs, and trees..

    Understanding

    Students understand that:

    • Both the vertex and edge is used to represent some part of a real-world problem.

    Vocabulary

    • Graph
    • Vertex
    • Edge
    • Network
    • Complete graph
    • Bipartite graph
    • Tree
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