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Higher Math Made Simple

Rated 4.79 out of 5, based on 29 reviews

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New York, United States

About the store

Hi friends! I've been teaching high school since 2014. I've been wanting to be a teacher since the fourth grade, and it is my passion to see my students' eyes light up with understanding after using my lesson plans. Feel free to snag my *FREE* comprehensive Algebra 2 (10-page) Pretest with answers at: www.HigherMathMadeSimple.com/FREEBIE.

What is the difference between Simplify, Evaluate and Solve? Worksheet

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Expected Value [Statistics & Probability] - Guided Lesson, Worksheets, Keys

Created by

Higher Math Made Simple

How to find the expected value using the formula in statistics and probability. Students learn how to find the expected value of one event vs. multiple events, and using that value to solve Games of Chance problems (using expected value to understand the outcome of a game in which a player could either win or lose money in a game. Students in some of these real-world problems need prior knowledge of theoretical probability.---------------------------------- Check out my previous lessons:✫ Funda

10th - 12th, Higher Education

Statistics

CCSS

HSS-MD.B.5

, HSS-MD.B.5a

Also included in: Intro to Probability & Expected Value | Lessons, Worksheets, Packets, Keys

Normal Distribution- Normalcdf & Inversenorm with Z-scores: Lesson & Packets

Created by

Higher Math Made Simple

AP Statistics Calculator: Introduction & tutorial on how to use the normalcdf and inversenorm functions on Ti 83/84/89 calculator for countless normal distribution examples. We use the standardized model with the mean = 0 and the standard deviation = 1. Normalcdf is for converting a z score to percentile, and inversenorm is converting percentile to a z score. Students also review the normal distribution approximations using the Empirical Rule (68-95-99.7 Rule). Students graph their own bell curv

11th - 12th, Higher Education

Statistics

CCSS

HSS-ID.A.4

Linear Regression Model & Residuals | Proof, Lesson, Activity, Worksheet, Keys

Created by

Higher Math Made Simple

AP STATISTICS: Introducing the linear regression formula to model [in scatterplots] relationships between bivariate quantitative data with a line; this is done with the parameters of slope (b1) and y-intercept (b0). Residual definition and explanation of formula with "y-hat" with a connection to the correlation coefficient. A formal easily-to-follow guided proof deriving the formula using the standardized scatterplot (z-scores) to find the general equation for a regression line by finding the sl

11th - 12th, Higher Education

Statistics

CCSS

HSS-ID.B.6

, HSS-ID.B.6a

, HSS-ID.B.6b

Normal Distribution | Intro Lesson, Packets, Homework, Reference Sheets, Keys

Created by

Higher Math Made Simple

AP Statistics - an introductory lesson. Students see first-hand in the Normal Distribution DISCOVERY scaffolded packet how the mean equates to z-score= 0, and they can use the shortcut method to determine integer z-values [adding/subtracting the standard deviation]. Students learn how to sketch a bell curve based on the give mean and standard deviation, and interpret the percentages using the z-score formula, chart and 68-95-99.7 Rule.Teaching this for many years I have finally perfected the SCA

9th - 12th, Adult Education, Higher Education

Statistics

CCSS

HSS-ID.A.4

Bundle | Intro to Probability & Theoretical Probability | Lessons, Packets, Keys

Created by

Higher Math Made Simple

Fundamental Counting Principle, Sample Space, Tree Diagrams, Permutations, Combinations, Independent & Dependent Probability Events, Union & Complement of Events Formulas.➤ LESSON 1: Intro to probability full 2 to 3-day GUIDED-NOTES lesson packet, 40 total exercises (can be used as classwork and/or homework), notes and step-by-step answer keys. What is the Fundamental Counting Principle? Definition and connection to Sample Space and Tree Diagrams. What is permutation vs. combination, and wh

9th - 12th

Algebra, Statistics

CCSS

HSS-CP.A.1

, HSS-CP.A.2

, HSS-CP.A.3

Theoretical Probability: Independent and Dependent Events | Lesson, Packet, Keys

Created by

Higher Math Made Simple

Theoretical Probabilities - Probability of an Event P(E), Independent vs. Dependent Events formulas, difference between a probability With vs. Without Replacement, formulas of probability for the Union and Complement of an event. Finding theoretical probabilities using tree diagrams, sample space, and fundamental counting principle to help. Examples include topics of dice, coins, marbles, deck of cards, and much more!---------------------------------- Also included in my BUNDLES: ✫ Intro to Pr

9th - 12th

Algebra, Statistics

CCSS

HSS-CP.A.1

, HSS-CP.A.2

, HSS-CP.A.3

Also included in: Intro to Probability & Expected Value | Lessons, Worksheets, Packets, Keys

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Students should be encouraged to make mistakes because "mistakes are proof that you are trying" (Samantha Snyder). Students should also feel a sense of community in the classroom, where he/she feels extremely comfortable asking questions and even confident enough to let the teacher know if he/she made a mistake. Each student has his/her own way of learning, and it is vital for a teacher to be able to distinguish whether a particular student is an auditory and/or visual learner. Similarly, there is no "right way" of teaching - each teacher has his/her own unique teaching style that works as long as the main focus of the job is the student.