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Video
SPSS Statistics is a software package used for interactive, or batched, statistical analysis. Learn how to use it in this full course.
💻 Download course files here: https://drive.google.com/drive/folder...
✏️ Course created by Barton Poulson from datalab.cc.
🔗 Check out the datalab.cc YouTube channel: / datalabcc
🔗 Watch more free data science courses at http://datalab.cc/
⭐️ Course Contents ⭐️
(0:00:00) Welcome
(0:02:33) Versions, Editions, & Modules
(0:08:10) Taking a Look
(0:15:20) Sample Data
(0:19:10) Graph board Templates
(0:28:17) Bar Charts
(0:34:00) Histograms
(0:37:30) Scatterplots
(0:44:30) Frequencies
(0:53:00) Descriptives
(1:01:00) Explore
(1:12:00) Labels & Definitions
(1:23:00) Entering Data
(1:26:00) Importing Data
(1:37:00) Hierarchical Clustering
(1:48:00) Factor Analysis
(2:03:00) Regression
(2:15:00) Next Steps
 Keywords:
 SPSS (Computer file) Statistics  Computer programs Statistics  Data processing
 Resource Type:
 Video

Video
The concepts behind linear regression, fitting a line to data with least squares and Rsquared, are pretty darn simple, so let's get down to it
 Course related:
 BRE366 Analytical Skills and Methods (Quantitative Research Methods)
 Subjects:
 Mathematics and Statistics
 Keywords:
 Regression analysis R (Computer program language)
 Resource Type:
 Video

ebook
"A Brief Introduction to Engineering Computation with MATLAB is specifically designed for students with no programming experience. However, students are expected to be proficient in First Year Mathematics and Sciences and access to good reference books are highly recommended. Students are assumed to have a working knowledge of the Mac OS X or Microsoft Windows operating systems. The strategic goal of the course and book is to provide learners with an appreciation for the role computation plays in solving engineering problems. MATLAB specific skills that students are expected to be proficient at are: write scripts to solve engineering problems including interpolation, numerical integration and regression analysis, plot graphs to visualize, analyze and present numerical data, and publish reports."BC Campus website.
 Subjects:
 Computing and Mechanical Engineering
 Keywords:
 Textbooks Systems engineering
 Resource Type:
 ebook

Video
In 44 episodes, Adriene Hill teaches you Statistics! This course is based on the 2018 AP Statistics curriculum and introduces everything from basic descriptive statistics to data collection to hot topics in data analysis like Big Data and neural networks. By the end of the course, you will be able to: *Identify questions that can be answered using statistics *Describe patterns, trends, associations, and relationships in data both numerically and graphically *Justify a conclusion using evidence from data, definitions, or statistical inference *Apply statistical models to make inferences and predictions from data sets *Understand how statistics are used broadly in the world and interpret their meaning, like in newspapers or scientific studies Learning playlist
 Subjects:
 Mathematics and Statistics
 Keywords:
 Statistics
 Resource Type:
 Video

Others
Numerical methods are techniques to approximate mathematical procedures (e.g., integrals). Approximations are needed because we either cannot solve the procedure analytically (e.g., the standard normal cumulative distribution function) or because the analytical method is intractable (e.g., solving a set of a thousand simultaneous linear equations for a thousand unknowns). By end of this course, participants will be able to apply the numerical methods for the following mathematical procedures and topics: differentiation, nonlinear equations, and simultaneous linear equations, interpolation, regression, integration, and ordinary differential equations. Additionally, they will be able to calculate errors and implement their relationship to the accuracy of the numerical solutions. To be prepared for this course, students should have a passing grade in introductory physics, integral calculus, differential calculus, and ordinary differential equations.
 Course related:
 BSE3302 Computer Methods in Building Services Engineering
 Subjects:
 Mathematics and Statistics
 Keywords:
 Numerical analysis Numerical calculations
 Resource Type:
 Others

Video
Explore statistical analysis with SPSS. Topics covered include how to create and analyze charts, build reports, import spreadsheets, create regression models, and export presentation graphics.

Video
An example of using least squares to do data fitting. In this example, we demonstrate how to 1) fit a straight line using ordinary leastsquares method, and 2) estimate value of a new input based on the fitted line.
 Course related:
 LSGI3242A Digital Terrain Modelling
 Subjects:
 Computing and Mathematics and Statistics
 Keywords:
 Least squares Regression analysis
 Resource Type:
 Video

ebook
The focus of this book is on using quantitative research methods to test hypotheses and build theory in political science, public policy and public administration. It is designed for advanced undergraduate courses, or introductory and intermediate graduatelevel courses. The first part of the book introduces the scientific method, then covers research design, measurement, descriptive statistics, probability, inference, and basic measures of association. The second part of the book covers bivariate and multiple linear regression using the ordinary least squares, the calculus and matrix algebra that are necessary for understanding bivariate and multiple linear regression, the assumptions that underlie these methods, and then provides a short introduction to generalized linear models.The book fully embraces the open access and open source philosophies. The book is freely available in the SHAREOK repository; it is written in R Markdown files that are available in a public GitHub repository; it uses and teaches R and RStudio for data analysis, visualization and data management; and it uses publically available survey data (from the MesoScale Integrated Sociogeographic Network) to illustrate important concepts and methods. We encourage students to download the data, replicate the examples, and explore further! We also encourage instructors to download the R Markdown files and modify the text for use in different courses.

ebook
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. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, ttests, ANOVAs and regression. Bayesian statistics are covered at the end of the book.
 Subjects:
 Psychology and Mathematics and Statistics
 Keywords:
 Statistics Social sciences  Statistical methods Textbooks Statistics  Computer programs R (Computer program language)
 Resource Type:
 ebook

ebook
Introductory Business Statistics with Interactive Spreadsheets – 1st Canadian Edition is an adaptation of Thomas K. Tiemann's book, Introductory Business Statistics. This new edition still contains the basic ideas behind statistics, such as populations, samples, the difference between data and information, and sampling distributions as well as information on descriptive statistics and frequency distributions, normal and tdistributions, hypothesis testing, ttests, ftests, analysis of variance, nonparametric tests, and regression basics. New topics include the chisquare test and categorical variables, null and alternative hypotheses for the test of independence, simple linear regression model, least squares method, coefficient of determination, confidence interval for the average of the dependent variable, and prediction interval for a specific value of the dependent variable. This new edition also allows readers to learn the basic and most commonly applied statistical techniques in business in an interactive way — when using the web version — through interactive Excel spreadsheets. For each topic, a customized interactive template has been created within which selected values can be repeatedly changed to observe how the entire process, as well as the outcomes, are automatically adjusted. Also, in this adapted edition, the realworld examples throughout the text, and the information in general, have been revised to reflect Canadian content.
 Subjects:
 Management and Statistics and Research Methods
 Keywords:
 Business  Decision making Textbooks Microsoft Excel (Computer file) Commercial statistics
 Resource Type:
 ebook