Analytics
Degrees of Freedom Walks Into a Tea Stall
Vijay's calculator keeps using n − 1 instead of n. He doesn'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.
Analytics
Standard Deviation and Standard Error Walk Into a Tea Stall
Vijay's cousin asks how confident he is about the 87-customer average. Vijay says "SD = 13". The cousin says "wrong number, brother." Two strangers — one with a measuring tape, one with a precision caliper — explain why.
Analytics
Duplicate and Reference Walk Into a Tea Stall
Reena needs two new summary tables off her cleaned sales query. Power BI offers two options that look identical on the right-click menu — and her cousin warns that one of them will quietly break tomorrow.
Analytics
Nominal, Ordinal, Interval, Ratio Walk Into a Tea Stall
Vijay'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.
Analytics
Null and Alternative Hypothesis Walk Into a Tea Stall
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.
Analytics
One-tailed and Two-tailed Tests Walk Into a Tea Stall
Vijay added cardamom to his tea. Mean rating rose from 3.8 to 4.0. He's about to run the t-test, and the software asks him a question he's never thought about — one-sided or two? Two strangers, one with a single arrow and one with two, explain why it matters.
Analytics
One-to-Many and Many-to-Many Walk Into a Tea Stall
Reena's Power BI report has thrown a yellow warning at her. One stranger arrives with an open fan. The other arrives with a tangled ball of yarn — and a small wooden plank.
Analytics
t-test and z-test Walk Into a Tea Stall
Vijay'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't.
Analytics
Type I and Type II Errors Walk Into a Tea Stall
Vijay'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.
Analytics
Calculated Column and Measure Walk Into a Tea Stall
Reena needs a Profit number for Sunday. Two strangers turn up — one who writes it into every row, one who keeps only the formula and presses a calculator when asked.
Analytics
Fact and Dimension Walk Into a Tea Stall
Reena's notebook is bursting with repetition. Her cousin wants the data organised the proper way before he comes on Sunday. Two strangers know exactly how to split it.
Analytics
Slicer and Filter Walk Into a Tea Stall
Reena is preparing her slate for her cousin's visit. Some numbers should never be seen, some should be flipped through — and the difference is the difference between a filter and a slicer.
Analytics
Correlation and Regression Walk Into the Same Tea Stall
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.
Analytics
Covariance and Correlation Walk Into a Tea Stall
Vijay the tea stall owner has a question. Two old friends arrive with two different answers — same idea wearing different clothes.
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