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In a 3 minute talk on ted.com, mathematician Arthur Benjamin made the argument that it makes sense to give emphasis on statistics instead of on calculus in school, after students have been given a basic background on algebra and arithmetic. Statistics is something most people can use in their day to day life, if only they knew how to. In contrast, people who don't study maths after school hardly find any use of calculus in their daily lives. Obviously such people don't do calculus related jobs, but most of the people are in that category.

  • How can statistics be used in day to day life by common people if it is emphasized more in the school level? What will some concrete examples of this?

  • How should a two year post high school curriculum focusing on
    statistics instead of on calculus be designed to accomplish the
    above?

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Tim Gowers has an interesting post that you may find helpful on his weblog: gowers.wordpress.com/2012/06/08/…. –  J W May 1 at 16:43
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I pretty much agree in the case of most students, but the problem is that whatever is considered to be more difficult will be sought after for college admissions purposes. However, there shouldn't be that much of a problem in even getting a Ph.D. in math if one waits until college to take a first calculus course, as I explain here (scroll down to where I wrote "Even a student planning to get a Ph.D. in math"). –  Dave L Renfro May 1 at 16:51
    
It is interesting to note that in matheducators.stackexchange.com/questions/2060/… there are some links to courses combining statistics and calculus. –  J W May 1 at 20:12
    
But to REALLY understand statistics---yoiu need calculus! –  kjetil b halvorsen May 4 at 19:46

2 Answers 2

A question arose earlier about "how is calculus applicable in students' daily lives?", and the fact is... it's not. We use basic arithmetic in our daily lives, and that's generally as far as it goes. Occupations aside, of course.

Statistical analysis, however, is pretty instantly applicable all over the place. You can use it to analyze how you spend your money, and use it to develop budgeting skills, and overall get a good economic sense.

You can use statistics to measure your workouts and your diet, and find out what gives your body the effect you desire. It could be weight increase or decrease, generating muscle mass. If you consistently log your behaviour and measure your results, you can analyze this and become an expert in managing your physique.

I started doing this, and while I won't go on too much of a tangent, I'm very pleased with the results on my body. I used very basic statistics like noticing periods of change in my weight, checking my log, figuring out my average caloric intake over that period (1-2 months), and jotting down the result. Started getting more advanced and did the same, give or take, over another period, and compared the standard deviations. End tangent...

My point is that basic statistics is immediately useful everywhere. Whether you're trying to increase your productivity, figure out how many hours of sleep render you rested and alert the next day, or even figure out what kind of diet makes your finger nails grow faster; statistics is the way to go. Simple logging and very basic, almost menial calculations, can give you sooo much information.

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Not to mention seeing through much of the fluff published in newspapers and spewed by random politicans... –  vonbrand May 1 at 19:56
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@vonbrand - Absolutely. Learning the difference between correlation and causality changes your entire view on media. –  Aleksander May 2 at 8:47

Here's today's ad for statistics, aimed at people working with wells and sewage.

Introduction to Simple Linear Regression (SLR) & R

Whether you're determining the trends of pollutant levels in contaminated water bodies to evaluate your watershed or looking for contaminant concentration reductions to assess efficiency of your groundwater remediation system, without statistics...your data analysis is dead in the water.

So regression – your software can compute it...BUT do you understand it?

Join Joseph Ofungwu to get the skinny on Simple Linear Regression (SLR)....

The audience of common people who might be interested in statistics is broad.

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