12th Grade

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1

Add and Subtract Matrices: The Dimension Rule

2

Inverse of a Matrix

3

Multiply Matrices of Appropriate Dimensions?

4

Zero and Identity Matrices

5

Multiply Matrices by Scalars

6

Multiply a Matrix by a Vector

7

Matrix Multiplication Not Commutative

8

Use Matrices to Represent and Manipulate Data

9

Represent a System of Linear Equations as a Matrix Equation

10

2×2 Matrices Transform Shapes and Area

11

Use an Inverse Matrix to Solve Linear Equations

12

13

What is the Inverse Relationship Between Exponents and Logarithms?

14

Determinant of a 2-by-2 Matrix

15

Expected Payoff in Games

16

How Can Shape, Center, and Spread Help You Compare Data?

17

How do you prove the addition and subtraction formulas for sine?

18

How Do You Solve Trigonometric Equations with Inverse Functions?

19

How do you prove the addition and subtraction formulas for cosine?

20

How do you prove the addition and subtraction formulas for tangent?

21

What's the Difference between Correlation and Causation?

22

Derivative of Natural Exponential Functions

23

How Do You Estimate Population Values Using a Sample Survey?

24

Composite Functions

25

How do you Make a Probability Distribution for a Random Variable

26

Exponents and Logarithms

27

Hypothesis testing

28

What are confidence intervals?

29

Confidence Intervals - Proportions

30

Discrete and continuous random variables

31

The normal distribution

32

Probabilities and areas under the normal curve

33

Making a Probability Distribution

34

Correlation and Causation

35

Confidence Intervals - Means

36

Significance test and p-values

37

Estimate Parameters

38

Central Limit Theorem

39

68 - 95 - 99.7 Rule

40

Standard Normal Distribution

41

42

Standardize using z-scores

How can you standardize data using z-scores?

Watch this video to learn how to use z-scores and standardization in practice. You’ll see that if you take two tests in different subjects, a higher raw score on one test doesn’t necessarily mean you did better relative to everyone else.

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