This textbook is an introduction to Psychology. It covers how psychologists think, principles of memory, learning, and thinking; human nature, human development, the social world, and wellbeing.
Introductory Statistics follows scope and sequence requirements of a one-semester introduction to statistics course and is geared toward students majoring in fields other than math or engineering. The text assumes some knowledge of intermediate algebra and focuses on statistics application over theory. Introductory Statistics includes innovative practical applications that make the text relevant and accessible, as well as collaborative exercises, technology integration problems, and statistics labs.
Large Sample Proportion Hypothesis Testing
Introduction to the law of large numbers
Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software. The book discusses how to get started in R as well as giving an introduction to data manipulation and writing scripts.
Finding the 95% confidence interval for the proportion of a population voting for a candidate.
Finding the 95% confidence interval for the proportion of a population voting for a candidate.
The video resource "Mathematical Thinking: Crash Course Statistics #2" is included in the "Statistics" course from the resources series of "Crash Course". Crash Course is a educational video series from John and Hank Green.
The video resource "Mean, Median, and Mode: Measures of Central Tendency: Crash Course Statistics #3" is included in the "Statistics" course from the resources series of "Crash Course". Crash Course is a educational video series from John and Hank Green.
Mean and Variance of Bernoulli Distribution Example
The video resource "Measures of Spread: Crash Course Statistics #4" is included in the "Statistics" course from the resources series of "Crash Course". Crash Course is a educational video series from John and Hank Green.
(Long-26 minutes) Presentation on spreadsheet to show that the normal distribution approximates the binomial distribution for a large number of trials.
One-Tailed and Two-Tailed Tests
In this course, we will introduce some of the more common tools for analyzing data of several types. We are not aiming at introducing all or even most of them. The main goal of the course is to highlight the general assumptions and methods that underlie all statistical analysis. The purpose is to get a good understanding of the scope, and the limitations of these methods. We also want to learn as much as possible about the assumptions behind the most common methods, in order to evaluate if they apply with reasonable accuracy to a given situation.
This resource is a list of videos used in the OpenIntroAdvanced High School Statistics textbook.
This resource is the lecture slides, sample exams, sample syllabi, learning objectives and educational software needed for the OpenIntro Intro Stat with Randomization and Simulation textbook.
Introductory Business Statistics is designed to meet the scope and sequence requirements of the one-semester statistics course for business, economics, and related majors. Core statistical concepts and skills have been augmented with practical business examples, scenarios, and exercises. The result is a meaningful understanding of the discipline, which will serve students in their business careers and real-world experiences.
With your mouse, drag data points and their error bars, and watch the best-fit polynomial curve update instantly. You choose the type of fit: linear, quadratic, cubic, or quartic. The reduced chi-square statistic shows you when the fit is good. Or you can try to find the best fit by manually adjusting fit parameters.
With your mouse, drag data points and their error bars, and watch the best-fit polynomial curve update instantly. You choose the type of fit: linear, quadratic, cubic, or quartic. The reduced chi-square statistic shows you when the fit is good. Or you can try to find the best fit by manually adjusting fit parameters.
The video resource "Plots, Outliers, and Justin Timberlake: Data Visualization Part 2: Crash Course Statistics #6" is included in the "Statistics" course from the resources series of "Crash Course". Crash Course is a educational video series from John and Hank Green.