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Master Probability of Independent Events: Key Concepts & Tips

CC.HSA.REI.C.8

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Notation of matrices

Adding and subtracting matrices

Scalar multiplication of matrices

Representing a linear system as a matrix

CC.HSA.REI.C.9

Matrix multiplication

The three types of matrix row operations

The Inverse of a 2 x 2 matrix

Solving linear systems using 2 x 2 inverse matrices

CC.HSA.SSE.B.4

Factor by taking out the greatest common factor

Factor by taking out GCF

Factor by grouping

Factoring difference of squares: \(x^2 - y^2\)

Factoring difference of squares: <katex>x^2 - y^2</katex>

Factoring difference of squares: x^2 - y^2

Geometric series

Geometric Series

CC.HSF.BF.A.2

Arithmetic sequences

Arithmetic series

Arithmetic series formula

Geometric sequences

Infinite geometric series

CC.HSF.BF.B.4

Finding the quadratic functions for given parabolas

Inverse functions

CC.HSF.IF.A.1

Domain and range of a function

Identifying functions

Function notation (advanced)

CC.HSF.IF.A.2

Function notation

Difference quotient: applications of functions

CC.HSF.IF.A.3

Greatest common factors (GCF)

Greatest Common Factor 2 Numbers

Greatest Common Factor 2 Numbers – Word Problem

Introduction to sequences

Sigma notation

CC.HSF.IF.B.5

Point of discontinuity

Even and odd functions

CC.HSF.LE.A.2

Graphing linear functions using table of values

CC.HSN.VM.A.1

Use sine ratio to calculate angles and sides (Sin = o / h)

Introduction to vectors

Magnitude of a vector

Direction angle of a vector

CC.HSN.VM.A.2

Distance formula: \(d = \sqrt{(x_2-x_1)^2+(y_2-y_1)^2}\)

Distance formula: <katex>d = \sqrt{(x_2-x_1)^2+(y_2-y_1)^2}</katex>

Distance formula

Scalar multiplication of vectors

Equivalent vectors

CC.HSN.VM.B.4

Slope equation: \(m = \frac{y_2-y_1}{x_2- x_1}\)

Slope equation: <katex>m = \frac{y_2-y_1}{x_2- x_1}</katex>

Adding and subtracting vectors in component form

Operations on vectors in magnitude and direction form

CC.HSN.VM.B.5

Slope intercept form:  y = mx + b

Slope intercept form: y = mx + b

Unit vector

CC.HSN.VM.C.10

Zero matrix

Identity matrix

The determinant of a 2 x 2 matrix

The determinant of a 3 x 3 matrix (General & Shortcut Method)

CC.HSN.VM.C.11

Transforming vectors with matrices

Transforming shapes with matrices

CC.HSN.VM.C.6

CC.HSN.VM.C.9

Properties of matrix multiplication

CC.HSS.CP.A.1

Set notation

Understanding How to Use Set Notation

Set builder notation

Intersection and union of 2 sets

Intersection and Union of 2 Sets

Intersection and union of 3 sets

Intersection and Union of 3 Sets

Introduction to probability

Identify the Probability — Word Problem

Compound Probability

Reading Probability Models

Probability

Organizing outcomes

Calculating Outcomes

CC.HSS.CP.A.2

Probability of independent events

Multiplication rule for 

Multiplication rule for "AND"

Multiplication Rule for "AND"

CC.HSS.CP.A.3

Conditional probability

CC.HSS.CP.A.5

Comparing experimental and theoretical probability

comparing experimental and theoretical probability

CC.HSS.CP.B.9

Permutations

Combinations

Probability involving permutations and combinations

CC.HSS.IC.A.1

Sampling methods

Sampling Methods

CC.HSS.IC.B.3

Census and bias

Census and Bias

Classifying Bias

CC.HSS.IC.B.4

Margin of error

Margin of Error

Making a confidence interval

Confidence intervals to estimate population mean

CC.HSS.ID.A.2

Median and mode

Median and Mode Table

Median and Mode – Word Problem

Median of an even length list

Median of an odd length list

Mean

Mean Word Problems

Find the Mean

Application of Means

Range and outliers

Range and Outlier Word Problems

Outlier Word Problems

Range Word Problems

Find the Range

Center of a data set: mean, median, mode

Spread of a data set - standard deviation & variance

CC.HSS.ID.A.3

Application of averages

Measures of Central Tendency — Word Problem

Find the Means — Data Tables

Find Mean and Mode — Data Table

Identify Outliers — Data Table

Shapes of distributions

CC.HSS.MD.A.1

Probability distribution - histogram, mean, variance & standard deviation

CC.HSS.MD.A.2

Properties of expectation

Properties of Expectation and Variance

Properties of Expectation

CC.HSS.MD.A.3

Binomial distribution

Binomial Distribution

Mean and standard deviation of binomial distribution

Interpreting Mean and Standard Deviation of Binomial

CC.HSS.MD.B.7

Type 1 and type 2 errors

Type 1 and Type 2 Errors

Discrete Mathematics/Computer Science

math

Intro

Ex. 1:

Ex. 2:

Ex. 3:

- Hi and welcome to this question right here. So this is a very fun exercise, okay? So you got a spinner divided into the four equal parts and you're going to spin it. And each section is labeled one, two, three and four. You got another marble drawn from the bag over here that has five different marbles, color of the green, the red, the blue, the black, and the white. So your task is to figure the probability that you want to land on section two and getting a green marble, okay? If you're trying to figure out the probability of the two events, that's one event right here. That's a second event. So you're doing something twice. So all you got to do is just multiply the probability together, okay? 
So let's take a look at how to get a section two right here. Well the spinner right here it's divided into four equal parts, right? So what happened is you want to get a two. There's only one of them, right? That's one of the four possibilities to get a two right there. It's actually the same possibility for all the numbers, actually. Now you're going to multiply, okay? Because, again, remember this. This is two different events. They are called independent because what that means is the outcome from the first event does not affect the second event, okay? So basically, me drawing the green from here is not affected by the spinning right here. It doesn't affect me at all, okay? So when you have two different independent events you're going to multiply them together. Multiply the probabilities together. The second one right here wants you to get the green marble. Well how many greens do you have? You got one. So that's the one that you're looking for. How many possibilities do you have in this bag? 
You have five marbles, right? 
So that's your total sample base. You put it right at the bottom, okay? 
At the very end, guess what happened? 
Multiply. One times one gives you just one and divided by the four times five gives you 20. So the chance for you to spin the two and then grab a green from the bag without looking at it is just 1 of the 20 of the chance. Not a good odd but still better than 649. Thanks for watching.

Probability is everywhere in our daily life. Do you know your chances of winning a specific prize in a spinning wheel prize draw? How about the odd to get the same prize two times in a row? By applying the concept of probability of independent events, we can easily answer these questions.

Probability of independent events 

Probability of independent events (advanced)

Probability of Independent Events Examples