Using R
Learn advanced statistical techniques and data analysis using R, covering distributions, simulations, estimations, and various statistical tests through practical examples and hands-on coding.
Characteristic, Moment Generating, Factorial Generating Functions
Explore generating functions in probability theory, including characteristic, moment, and factorial, with applications to various distributions and statistical problems.
Multiple Comparisons
Learn about multiple comparison methods, including proofs for Holm-Bonferroni and Simes correction techniques, to enhance your statistical analysis skills.
Using Excel in Statistics
Learn to leverage Excel for statistical analysis, from data display to hypothesis testing and regression, enhancing your data interpretation skills.
Casio Prizm Fx-CG10 Revision Tutorials
Learn to use Casio graphical calculators for advanced statistical calculations, including binomial probability, regression, correlation, and standard deviation. Essential for AS/A Level and IB maths.
AS Level Mathematics Revision New Specification - AQA, Edexcel, OCR, MEI
Comprehensive guide on using Casio calculators for advanced statistical calculations in AS Level Mathematics, covering mean, standard deviation, and binomial distributions.
AS Level Further Mathematics New Specification Revision
Learn to use Casio graphical calculators for advanced statistical calculations in A-Level and IB mathematics, including regression, correlation, and probability distributions.
A Level Further Mathematics New Specification Revision
Learn to use Casio graphical calculators for advanced statistical calculations in A-Level Further Mathematics, including regression, correlation, and probability distributions.
Earth - Stats and Data Analysis
Comprehensive statistics course covering central tendency, hypothesis testing, regression, and advanced analytical techniques for data analysis in earth sciences.
Statistics
Comprehensive video series covering statistical concepts, Excel applications, matrix algebra, probability, and hypothesis testing for practical data analysis skills.
Cross-Classified Models
Learn advanced statistical techniques for analyzing complex hierarchical data structures, focusing on model fitting, extensions, and practical applications.
Introductory Hypothesis Testing
Learn essential concepts and techniques for statistical hypothesis testing, including p-values, errors, and various test types for means and proportions.
Statistics - Vol 1
Learn fundamental statistical concepts, from descriptive measures to data visualization techniques. Master key calculations and interpretations for effective data analysis and decision-making.
Statistics - Vol 4
Comprehensive guide to advanced statistical concepts, covering confidence intervals, chi-square distribution, population variance estimation, and in-depth exploration of hypothesis testing for means and small samples.
Statistics - Vol 5
Comprehensive guide to hypothesis testing, covering means, large samples, p-values, population proportions, and variances. Learn to calculate, interpret, and apply statistical concepts for robust data analysis.
Statistics - Vol 7
Explore advanced statistical concepts including F-Distribution, hypothesis testing with variances, and ANOVA. Learn practical applications using Excel for data analysis and decision-making.
R Tutorials
Learn essential R skills for data analysis, visualization, and machine learning, covering statistics, deep learning, Plotly, and real-world applications like COVID-19 data extraction.
Binary Logistic Regression
Learn to perform and interpret binary logistic regression, including multivariate analysis and interactions, through a series of three concise video tutorials.
Ordinal Logistic Regression
Learn to analyze ordered categorical data using ordinal logistic regression, covering introduction, multiple regression, and the proportional odds assumption.
Multinomial Logistic Regression
Explore multinomial logistic regression, covering introduction and multiple regression concepts for analyzing categorical outcomes with more than two levels.
Working with StatCrunch
Learn to use StatCrunch for data analysis: importing, visualizing, and analyzing data with various statistical methods. Master creating charts, performing tests, and exporting results efficiently.