After simulating every match of the 2017 season 10,000 times, we've predicted the likely finishing position of every AFL team. How is your club shaping up?
For a person being from a non-statistical background the most confusing aspect of statistics, are always the fundamental statistical tests, and when to use which. This blog post is an attempt to mark out the difference between the most common tests, the use of null value hypothesis in these tests and outlining the conditions under… Read More »Statistical Tests - When to use Which ?
Statistical Hypothesis Testing - just 4 hypothesis testing steps and a statistical test flow chart will help you choose the correct statistical test
On this page you’ll find a number of resources for understanding the research methods used in psychology as well as some statistical methods for understanding and interpreting the data collec…
FULL SUMMARY REVISION NOTES for GCE A-Level Psychology AQA FORENSIC PSYCHOLOGY topic in Paper 3 17-page Word document Includes: - Full summary notes on each heading in each topic (based on Illuminate textbook) - Each evaluation (AO3) point explained and colour-coded - Key studies highlighted in green - Tables to illustrate statistics and debates - Key diagrams where relevant
You can use the z-table to find probabilities for a statistical sample with a standard normal (Z-) distribution. Here's how.
A confidence interval is an indicator of your measurement's precision. It is also an indicator of how stable your estimate is, which is the measure of how close your measurement will be to the original estimate if you repeat your...
Bill Duncan posted a piece on PM Student titled Estimating Effort. It's a multiple part series that addresses some of the issues around estimating cost and schedule in a project context. Multipart pieces are ineffective in the medium of a...
Explore the world of Data Science with these FREE Data Science Books. In this blog post, you'll find a curated list of FREE ebooks on Data Science every Data Scientist should read. Check them out!
Just because there's a strong correlation doesn't mean A causes B. Learn the "5 correlation is not causation" traps even statistical pros fall into.
Explore Fascinating Topics: ️ Fingerprints: Uncover their secrets and decode their stories. Cyber Forensics: Understand digital evidence and its role in solving cybercrimes. Forensic Art: Learn how sketches aid investigations. DNA Analysis: Dive into genetic fingerprints and their crime-solving power. Trace Evidence: Investigate microscopic clues in criminal cases. Engage Students with Thoughtful Questions: What do scars and anomalies in fingerprints reveal? How does cyber forensics prevent cybercrimes? What's the role of forensic artists in investigations? How do DNA profiles link suspects to crimes? What clues can trace evidence provide in solving cases? Interactive Activities: Graph fingerprint, DNA, and trace evidence statistics.
Proper data classification is necessary to select correct statistical tools
I’ve recently seen a lot of buzz on social media around Leonardo DiCaprio’s decision to play Billy Milligan in the upcoming film “The Crowded Room”. For those who aren’…
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Students who get good grades do things differently. They aren't smarter, just that they work smarter. Here's how straight A students get good grades
Why "w" sitting is a cause for concern in young children. Learn how to break the habit with a simple song at circle time.
There are 4 types of data in statistics. Quantitative data, qualitative data, nominal data, ordinal data, interval data and ratio data - we explain them all...
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Fundamentals of Forensic DNA Typing
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, decision trees, ensembles, correlation, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, cross-validation, model fitting, and many more. To keep receiving these articles, sign up on DSC. The full series is accessible here. 29 Statistical Concepts… Read More »29 Statistical Concepts Explained in Simple English – Part 1
