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I have seven concise SPSS assignments built around real student-level data from the social-sciences / education space. Each task zeroes in on a single technique—one may call for cl...
Survey data analysis turns raw responses into decisions: It cleans your data, summarizes key figures, compares trends and groups, scans open-text answers, and generates insight int...
Andrew recently answered “Why did ANOVA fall out of fashion?”: Anova is still important; it’s just been subsumed by hierarchical models. The link is to my 2005 paper, Analysis of v...
Rodney Sparapani commented on the ANOVA post about struggles with multilevel models, saying ANOVA is more straightforward. I also struggle with multilevel models, but I don’t find...
Last month Andrew wrote: I use simulated data to understand how a model works; it can be viewed as a form of mathematical analysis, a way of working out the implications of a set o...
Lets imagine a hypothetical scenario: two marketing analysts measure the same geo experiment. Same regions, same budget cut, same data set…Continue reading on Medium »
Statistical questions help people investigate patterns rather than look for one fixed answer. Each question anticipates variability: Different people, objects, events, or measureme...
Statistics is a crucial field that’s shaping how we handle and understand data today. As businesses increasingly rely on data to guide their strategies, the demand for statistician...
Yesterday, we focused on descriptive statistics — how to summarize the data you already have. But in enterprise data science, the data you…Continue reading on Medium »
4D number analysis helps you examine past lottery results instead of choosing numbers without any basis. You can study recent draws, digit positions, repeated combinations, and pat...
Explore every NFL Week 1 game through a collection of PFF data visualizations. Each matchup features charts covering scoring opportunities, drive efficiency, passing, receiving, ru...
Introduction Data Aim and hypotheses Assumptions Variable type and design Independence between subjects Normality Sphericity Outliers Repeated measures ANOVA in R With the {rstatix...
Analysis Magnum 4D helps you review past Magnum 4D results, compare 4D numbers, and understand how often certain winning numbers have appeared. You can use historical data and freq...
As anyone who’s ever run a survey can tell you, collecting responses has never been the hard part. The real work begins after submission, when you have to sort through hundreds or...
Introduction One of the principal difficulties in making decisions based on data is understanding how... The post Cohort Analysis Tracking: Grouping Users by Shared Characteristics...
College football has evolved so rapidly over the last several years, and there are an increasing variety of ways to break down any given Saturday. Here on Scarlet Spreadsheet, we a...
Automated data analysis tools keep teams efficient. AI keeps tabs on the mundane, such as cleaning data, summarizing patterns, generating charts, creating reports, answering questi...
Go beyond the box score with PFF’s NFL Week 2 data visualizations, breaking down every game through scoring opportunities, drive efficiency, passing, receiving, rushing, special te...
A Toto number analysis tool helps you explore Singapore Toto results, check number frequencies, and build ticket combinations. Use it to organize past draw data and compare number-...
Go beyond the box score with PFF’s NFL Week 6 data visualizations, breaking down every game through scoring opportunities, drive efficiency, passing, receiving, rushing, special te...
This series has used a few survey statistics textbooks, see my list below. Which of your favorites am I missing ? Kish 1965: Särndal, Swensson, Wretman 1992: Groves et al. 2009: Lu...
In statistics, dependence or association is any statistical relationship, whether causal or not, between two random variables or bivariate data. It is often measured by the Pearson...
Go beyond the box score with PFF’s NFL Week 5 data visualizations, breaking down every game through scoring opportunities, drive efficiency, passing, receiving, rushing, special te...
Last week we discussed SynthMargins, a method from the poster Modeling Complex Contingency Tables that uses partial information (margins) about poststratification variables. On the...
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