# OpenStax Statistics Chapter 12 Lecture Notes

(View Complete Item Description)

PowerPoint Slides to accompany Chapter 12 of OpenStax Statistics textbook. Prepared by River Parishes Community College (Jared Eusea, Assistant Professor of Mathematics, and Ginny Bradley, Instructor of Mathematics) for OpenStax Statistics textbook under a Creative Commons Attribution-ShareAlike 4.0 International License. Date provided: July 2019.

Material Type: Lecture, Lecture Notes

Author: Jared Eusea

(View Complete Item Description)

Introductory survey of quantitative methods (QM), or the application of statistics in the workplace. Examines techniques for gathering, analyzing, and interpreting data in any number of fieldsĺÎĺ from anthropology to hedge fund management.

Material Type: Activity/Lab, Full Course, Homework/Assignment, Reading, Syllabus

# Lecture Notes for OpenStax Introductory Statistics

(View Complete Item Description)

These materials are meant as a supplement for teachers and learners who are using the OpenStax Introductory Statistics textbook by Illowsky and Dean. These materials also incorporate the use of other technologies (R and Excel) in an open statistics course for students and instructors who wish to use technologies other than the TI-83/84 graphing calcuator.

Material Type: Lecture Notes

# OpenIntro Statistics ancillary materials

(View Complete Item Description)

Materials created by Larry Shrewsbury when he piloted the open source textbook “OpenIntro Statistics” during Fall 2016 through Spring 2017. These are MS Word documents so you can edit them to suit you. MTH 243: Emphasizes the basic concepts and techniques of probability, descriptive, and inferential statistics. Topics include describing the distribution of data graphically and numerically, standard scores, normal distribution, empirical rule, sampling distributions, confidence intervals, hypothesis testing of both one and two populations, and linear regression. Introduces appropriate technology to display and analyze data. MTH 244: Presents an assortment of tools from inferential statistics with an emphasis on applications. Reviews the concepts of hypothesis testing and confidence intervals. Introduces probability distributions of test statistics for various inferential statistical problems. Includes Analysis of Categorical Data (Chi-Square Goodness of Fit Test), Analysis of Variance (ANOVA), Nonparametric Statistics, and a brief introduction to Multiple Linear Regression. Applies the concepts and procedures with appropriate software tools for data analysis.

Material Type: Activity/Lab, Homework/Assignment, Lecture Notes

Author: Larry Shrewsbury

# Lesson Summaries

(View Complete Item Description)

As a supplement to the OpenStax textbook, we have also created lesson summaries for our OER course. Attached are some instructor created notes on the following topics.Introduction to StatisticsSampling MethodsBias in SamplingOrganizing Data using Frequency Distributions and HistogramsMeasures of CenterMeasures of Dispersion and Empirical RuleMeasures of Position, Fences and Outliers5-Number Summary and Boxplots

Material Type: Lecture Notes, Reading, Student Guide

Author: Hersh Patel

# Chess 101

(View Complete Item Description)

Students will take active roles in learning the game of chess and improving their skills, ability, and knowledge of the game. Students will read the course material, complete practice drills for each module, complete and submit all assessments and submit properly recorded (notated) games that they played. Course content includes: rules, strategy, tactics and algebraic notation (the 'language' of chess).

Material Type: Full Course

Author: Keith Martin