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Math Redeemed

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Bakersfield, California, United States
About the store
Joshua Lewis has been in education for 25+ years. As a community college math professor, he is committed to building bridges between K12 and higher education.
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Preview of 1.7 Enlightening and Deceiving Graphs
23:11

1.7 Enlightening and Deceiving Graphs

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Math Redeemed
Prof Josh reveals the enlightening and deceptive sides of portraying data.
Preview of 1.3 Classifying Data
15:12

1.3 Classifying Data

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Math Redeemed
Students learn how data is classified and why it matters.
Preview of 3.9 Difference of Means - Dependent Samples (Matched Pairs)
15:37

3.9 Difference of Means - Dependent Samples (Matched Pairs)

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Math Redeemed
Testing the difference of means - dependent samples (matched pairs)
Preview of 3.7 Testing the Difference Between Proportions
18:26

3.7 Testing the Difference Between Proportions

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Math Redeemed
Hypothesis testing for the difference between proportions
Preview of 3.5 One-Sample Hypothesis Testing for a Proportion
18:39

3.5 One-Sample Hypothesis Testing for a Proportion

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Math Redeemed
Hypothesis tests for a one-sample proportion
Preview of 3.4 Introduction to Hypothesis Testing Part 2
14:01

3.4 Introduction to Hypothesis Testing Part 2

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Math Redeemed
More on the logic of hypothesis testing
Preview of 3.2 Confidence Interval for a Population Mean Part 3
17:38

3.2 Confidence Interval for a Population Mean Part 3

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Math Redeemed
Conclusion of confidence intervals for a mean.
Preview of 3.2 Confidence Interval for a Population Mean Part 1
13:24

3.2 Confidence Interval for a Population Mean Part 1

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Math Redeemed
CI for a mean when sigma is known.
Preview of 3.1 Confidence for a Proportion Part 2
8:44

3.1 Confidence for a Proportion Part 2

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Math Redeemed
More confidence intervals for a proportion
Preview of 2.9 The Central Limit Theorem
19:25

2.9 The Central Limit Theorem

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Math Redeemed
Describing the meaning, importance, and application of the Central Limit Theorem
Preview of 2.8 The Normal Distribution Part 1
15:17

2.8 The Normal Distribution Part 1

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Math Redeemed
Introduction to the normal distribution
Preview of 2.7 The Poisson Distribution
18:56

2.7 The Poisson Distribution

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Math Redeemed
The Poisson distribution
Preview of 2.6 Part 2 Parameters of the Binomial Distribution
7:44

2.6 Part 2 Parameters of the Binomial Distribution

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Math Redeemed
Finding the mean, variance, and standard deviation of a binomial probability distribution
Preview of 2.6 Part 1 The Binomial Distribution
31:49

2.6 Part 1 The Binomial Distribution

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Math Redeemed
Introducing the binomial distribution
Preview of 2.5 Probability Distributions Part 2 Expected Value
11:52

2.5 Probability Distributions Part 2 Expected Value

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Math Redeemed
Exploring expected value
Preview of 2.5 Probability Distributions Part 1 Terminology
23:01

2.5 Probability Distributions Part 1 Terminology

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Math Redeemed
Introduces the basic terminology associated with probability distributions
Preview of 2.4 Part 1 The Fundamental Counting Principle
13:46

2.4 Part 1 The Fundamental Counting Principle

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Math Redeemed
Develops the fundamental counting principle and uses it to count.
Preview of 2.1 Introduction to Probability - Basic Terms
19:44

2.1 Introduction to Probability - Basic Terms

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Math Redeemed
Basic terminology associated with probability
Preview of 1.10 Measures of Relative Standing
40:09

1.10 Measures of Relative Standing

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Math Redeemed
Students learn the z-score and what it represents.
Preview of 1.9 Measures of Variation
21:58

1.9 Measures of Variation

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Math Redeemed
Prof Josh motivates the formula for standard deviation as students uncover its meaning.
Showing 1-20 of 40 results

About the store

Experience

Joshua Lewis has been in education for 25+ years. As a community college math professor, he is committed to building bridges between K12 and higher education.

Teaching style

Joshua Lewis, or "Prof Josh," teaches in a highly conversational, socratic way. He believes students should know the "why" before they simply "do." He brings a richness to mathematics instruction that blends application, theory, and appreciation. Students leave his class with subject mastery and broadened horizons.

My own education history

Joshua Lewis holds a MS in Mathematics from the University of California, Irvine.