Experiments

No Free Hunch: A small Set of Economics and Stats Experiments for Peasants

It is all Her Fault!

1 Free Hunch #1: Guys have more pocket money than Gals.

Important

Guys carry more cash than Gals.

Have you got money? Open your wallet and show me how much. Guys and Gals. Will this work in these UPI days? And well-dressed Gals don’t have pockets in their clothing, Uncle…

Al right, then ask “How much did you spend today?” Again, Guys and Gals.

And then a two-independent-sample test for means. And Permutation and all that stuff.

2 Free Hunch #2: I will eat my tip, thank you.

Important The average tip people give is higher for people who are non-vegetarians. Regardless of whether you are going Dutch or not.

Are vegetarians more kanjoos? Or it is the meat-eaters?

So Swiggy/Zomato/Dining Out bills. For both sets of people, and look at the tip amounts. And then the t-t-t-t-t-test…

3 Free Hunch #3: Art, Design, and Vocation are all diff-different.

Important Grades are very different between B.Voc, B.Cra, and B.Des folks.

So? Grades of course, for a good sample from all three groups of people..and then? ANOVA of course.

4 Free Hunch #4a: Chhota Bheem vs Doraemon vs Dragon Tales

Important Doraeomon >> Dragon Tales >> Chhota Bheem!

The Anywhere Door makes Doraemon the greatest children’s show on earth. But Dragon Tales also has that Dragon Stone thingy…“I wish, I wish..”

And that flute musical in Chhota Bheem…Uff!

So? Get Opinion scores from people. Scale of 10. And then? Oh, ANOVA, peasants!

5 Free Hunch #4b: Friends vs Modern Family vs House vs Big Bang Theory vs…BAH!!!

Important Friends >> Modern Family >> House >> Big Bang Theory >> …BAH!!!

So? Get Opinion scores from people. Scale of 10. And then? Oh, ANOVA again, peasants!

6 Free Hunch #5: I am an INTJ

Important Srishti kids are predominantly introverted

What are we looking at, data-wise? A proportion, which if more than 50% would justify our hunch. So we do an MBTI https://www.16personalities.com/free-personality-test on some unsuspecting sample of people, and try to generalize that result to the population.

7 Free Hunch #6: Let’s Go to ChefsTouch(?)

Important Most people think the food in the mess/cafeteria is ordinary.

Again, a survey of a sample. Opinions, yes or no. A Proportion for the sample, and an extension to the population. A proportion test.

8 Free Hunch #7: Some peasants make, uh, friends earlier.

Important People studying Art-related degrees ( B.FA in CAP / DMA / Film ) are more likely to have BF/GFs than other Srishti students studying Design-related degrees ( B.Des / B.Voc / B.Cra ).

Let’s say Art people vs Design people. Ask people if they have a BF/GF and since when…And then a prop.test to see if there are differences in proportion.

Make sure you have equal/large nos of all genders in both groups (Art/Design).

9 Free Hunch #8: All Srishti Dads are Weird.

Important Most Srishti students think their Dad is weird.

Even if some of them happen to be Girl-Dads.

So how do we find out? Ask for a “yes/no” opinion from a sample of students. And then a prop.test to see if the proportion is significantly greater than 50%.

10 Free Hunch #9: Which college on campus has more “non-binary” people?

Important Does the number of people who have non-binary pronouns ( They/Them ) differ significantly between colleges on campus?

So, a survey of people from different colleges on campus, as to what pronouns they use, if any ( He/She/Him/Her, or They/Them). And then a chi-square test to see if there are differences in proportions.

11 Free Hunch #10: Do tattoos make people look attractive or not?

Important Some peope think tattoos make people look more attractive, while others think the opposite.

So, a survey of people from different colleges on campus, as what their opinion is on tattoos and attractiveness ( Yes / No). Survey Males and Females, Students and Faculty. Check the number of respondents in each sub-group!! And then a chi-square test to see if there are differences in proportions.

12 References

1. Facing the Abyss: How to Probe Unknown Data. https://shancarter.github.io/ucb-dataviz-fall-2013/classes/facing-the-abyss/