<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"><channel><title>Vijayakumar P — Notes &amp; Posts</title><description>Plain-language posts on HR, analytics, teaching, and research from Vijayakumar P.</description><link>https://vijaymbaphd.github.io/</link><language>en-in</language><item><title>Degrees of Freedom Walks Into a Tea Stall</title><link>https://vijaymbaphd.github.io/blog/degrees-of-freedom/</link><guid isPermaLink="true">https://vijaymbaphd.github.io/blog/degrees-of-freedom/</guid><description>Vijay&apos;s calculator keeps using n − 1 instead of n. He doesn&apos;t know why. Two strangers — one with a fan of blank slips, one with a brass padlock — explain why every parameter you estimate costs you one of your data points.</description><pubDate>Fri, 08 May 2026 00:00:00 GMT</pubDate><category>Analytics</category><category>statistics</category><category>data-science</category><category>hypothesis-testing</category><category>fundamentals</category><category>explainer</category><author>Vijayakumar P</author></item><item><title>Nominal, Ordinal, Interval, Ratio Walk Into a Tea Stall</title><link>https://vijaymbaphd.github.io/blog/levels-of-measurement/</link><guid isPermaLink="true">https://vijaymbaphd.github.io/blog/levels-of-measurement/</guid><description>Vijay&apos;s notebook has four columns. He has tried to take the average of each. Three of them gave him an answer; only one of those answers was meaningful. Four siblings turn up, climb a ladder, and explain why.</description><pubDate>Thu, 07 May 2026 00:00:00 GMT</pubDate><category>Analytics</category><category>statistics</category><category>data-science</category><category>fundamentals</category><category>explainer</category><category>measurement</category><author>Vijayakumar P</author></item><item><title>Null and Alternative Hypothesis Walk Into a Tea Stall</title><link>https://vijaymbaphd.github.io/blog/null-vs-alternative-hypothesis/</link><guid isPermaLink="true">https://vijaymbaphd.github.io/blog/null-vs-alternative-hypothesis/</guid><description>Vijay started serving fresh ginger biscuits this month. His daily mean rose from 87 to 91. Real effect or noise? Two strangers explain why every test is a courtroom — and which side is presumed innocent.</description><pubDate>Thu, 07 May 2026 00:00:00 GMT</pubDate><category>Analytics</category><category>statistics</category><category>data-science</category><category>hypothesis-testing</category><category>fundamentals</category><category>explainer</category><author>Vijayakumar P</author></item><item><title>One-tailed and Two-tailed Tests Walk Into a Tea Stall</title><link>https://vijaymbaphd.github.io/blog/one-tailed-vs-two-tailed-tests/</link><guid isPermaLink="true">https://vijaymbaphd.github.io/blog/one-tailed-vs-two-tailed-tests/</guid><description>Vijay added cardamom to his tea. Mean rating rose from 3.8 to 4.0. He&apos;s about to run the t-test, and the software asks him a question he&apos;s never thought about — one-sided or two? Two strangers, one with a single arrow and one with two, explain why it matters.</description><pubDate>Thu, 07 May 2026 00:00:00 GMT</pubDate><category>Analytics</category><category>statistics</category><category>data-science</category><category>hypothesis-testing</category><category>fundamentals</category><category>explainer</category><author>Vijayakumar P</author></item><item><title>t-test and z-test Walk Into a Tea Stall</title><link>https://vijaymbaphd.github.io/blog/t-test-vs-z-test/</link><guid isPermaLink="true">https://vijaymbaphd.github.io/blog/t-test-vs-z-test/</guid><description>Vijay&apos;s cousin keeps claiming he should average 100 customers a day. The notebook says 87. Two strangers turn up to test it — one needs to know sigma, the other doesn&apos;t.</description><pubDate>Thu, 07 May 2026 00:00:00 GMT</pubDate><category>Analytics</category><category>statistics</category><category>data-science</category><category>hypothesis-testing</category><category>fundamentals</category><category>explainer</category><author>Vijayakumar P</author></item><item><title>Type I and Type II Errors Walk Into a Tea Stall</title><link>https://vijaymbaphd.github.io/blog/type-i-vs-type-ii-errors/</link><guid isPermaLink="true">https://vijaymbaphd.github.io/blog/type-i-vs-type-ii-errors/</guid><description>Vijay&apos;s last 7 days dropped from his usual 87 to 75. The t-test rejects. Two strangers turn up — one rings a bell at every shadow, the other sleeps through real wolves — and explain what could go wrong with that verdict.</description><pubDate>Thu, 07 May 2026 00:00:00 GMT</pubDate><category>Analytics</category><category>statistics</category><category>data-science</category><category>hypothesis-testing</category><category>fundamentals</category><category>explainer</category><author>Vijayakumar P</author></item><item><title>Correlation and Regression Walk Into the Same Tea Stall</title><link>https://vijaymbaphd.github.io/blog/correlation-vs-regression/</link><guid isPermaLink="true">https://vijaymbaphd.github.io/blog/correlation-vs-regression/</guid><description>Vijay the tea stall owner needs to know how many samosas to fry tomorrow. Correlation can describe his data, Regression can predict from it — and the difference is the whole story.</description><pubDate>Tue, 28 Apr 2026 00:00:00 GMT</pubDate><category>Analytics</category><category>statistics</category><category>data-science</category><category>fundamentals</category><category>explainer</category><author>Vijayakumar P</author></item><item><title>Covariance and Correlation Walk Into a Tea Stall</title><link>https://vijaymbaphd.github.io/blog/correlation-vs-covariance/</link><guid isPermaLink="true">https://vijaymbaphd.github.io/blog/correlation-vs-covariance/</guid><description>Vijay the tea stall owner has a question. Two old friends arrive with two different answers — same idea wearing different clothes.</description><pubDate>Sat, 25 Apr 2026 00:00:00 GMT</pubDate><category>Analytics</category><category>statistics</category><category>data-science</category><category>fundamentals</category><category>explainer</category><author>Vijayakumar P</author></item></channel></rss>