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Tag Archives: statistics
When Science Goes Wrong
Science is our perception of how things work. The scientific method is how we determine what is the current state of our science. Science is the product of the successful application of the scientific method. They are not the same. … Continue reading
How to Tell if a Political Poll is Legitimate￼
Four things to look for. Why People Hate Polls It’s probably true that everybody has taken a survey at some point or other. What’s also probably true is that most people think polling is easy. And why not? Google has … Continue reading
Posted in Uncategorized
Tagged bias, frame, jargon, number of samples, politics, polls, populations, sample, sample size, statistics, stats with cats, surveys
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A Typology of Data Relationships
Nine patterns of three types of relationships that aren’t spurious. When analysts see a large correlation coefficient, they begin speculating about possible reasons. They’ll naturally gravitate toward their initial hypothesis (or preconceived notion) which set them to investigate the data relationship … Continue reading
Posted in Uncategorized
Tagged causality, causation, correlation, data relationships, statistics
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The Evolution of Data Science … As I Remember It
Those who cannot remember the past are condemned to repeat it. George Santayana History isn’t always clearcut. It’s written by anyone with the will to write it down and the forum to distribute it. It’s valuable to understand different perspectives … Continue reading
Posted in Uncategorized
Tagged articicial intelligence, big data, data analysis, data processing, data science, data wrangling, eniac, excel, gallup, history, mainframe, number crunching, python, SAS, SPSS, statistics, stats with cats
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Anecdotes and Big Data
An anecdote is a kitten gently licking your face with a warm, wet,
raspy tongue. Big data is a threeinch, highpressure, firehose held an arm’s length away. They have to be treated quite differently.
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WHAT ARE THE ODDS?
Probability is the core of statistics. You hear the phrase “what’s the probability of …” all the time in statistics. You also hear that phrase in everyday life, too. What’s the probability of rain tomorrow? What’s the probability of winning … Continue reading
PROBABILITY IS SIMPLE … KINDA
Language isn’t very precise in dealing with uncertainty. Probably is more certain than possibly, but who knows where dollarstodoughnuts falls on the spectrum. Statistics needs to deal with uncertainty more quantitatively. That’s where probability comes in. For the most part, … Continue reading
What To Look For In Data
Sometimes you have to do things when you have no idea where to start. It can be a stressful experience. If you’ve ever had to analyze a data set, you know the anxiety. Deciding how and where to start exploring … Continue reading
What to Look for in Data – Part 2
What to Look for in Data – Part 1 discusses how to explore data snapshots, population characteristics, and changes. Part 2 looks at how to explore patterns, trends, and anomalies. There are many different types of patterns, trends, and anomalies, … Continue reading
Posted in Uncategorized
Tagged cats, censored data, curvilinear, cycles, data relationships, graphs, heteroskedasticity, homoskedasticity, interpolation, linear, outliers, shifts, shocks, simpson's paradox, statistics, stats wit cats, steps, time series, transformations, what to look for
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