6.0002 is the continuation of 6.0001 Introduction to Computer Science and Programming …
6.0002 is the continuation of 6.0001 Introduction to Computer Science and Programming in Python and is intended for students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems and to help students, regardless of their major, feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class uses the Python 3.5 programming language.
This is a three-credit course which covers topics that enhance the students’ …
This is a three-credit course which covers topics that enhance the students’ problem solving abilities, knowledge of the basic principles of probability/statistics, and guides students to master critical thinking/logic skills, geometric principles, personal finance skills. This course requires that students apply their knowledge to real-world problems. A TI-84 or comparable calculator is required. The course has four main units: Thinking Algebraically, Thinking Logically and Geometrically, Thinking Statistically, and Making Connections. This course is paired with a course in MyOpenMath which contains the instructor materials (including answer keys) and online homework system with immediate feedback. All course materials are licensed by CC-BY-SA unless otherwise noted.
Topics List for this Lesson: Sampling, Frequency Distributions, and GraphsMeasures of CenterMeasures of …
Topics List for this Lesson: Sampling, Frequency Distributions, and GraphsMeasures of CenterMeasures of VarianceNormal Distributions and Problem SolvingZ-Scores and Unusual ValuesEmpirical Rule and Central Limit TheoremScatterplots, Correlation, and Regression
Lesson introduces normal distribution and how it relates to standard deviation. It …
Lesson introduces normal distribution and how it relates to standard deviation. It includes opportunities for students to notice key features of normal distribution graphs, reviews the concept of standard distribution and the empirical rule, and provides an interactive activity where they can practice adjusting normal distribution curves based on a different standard deviation or mean.
This 8-minute video lesson takes problems from CK12.org to discuss using the …
This 8-minute video lesson takes problems from CK12.org to discuss using the Empirical Rule with a standard normal distribution. [Statistics playlist: Lesson 33 of 85]
This 10-minute video lesson takes some problems from CK12.org and uses the …
This 10-minute video lesson takes some problems from CK12.org and uses the empirical rule (or 68-95-99.7 rule) to estimate probabilities for normal distributions. [Statistics playlist: Lesson 32 of 85]
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