BC SCIENCE
Saved by @Mollyycolllinss

This is a thread on statistics in science: 1/7 (via @LogicofScience)

Basic Statistics Part 1: The Law of Large Numbers https://t.co/wUH8eAAIak

#Science #Statistics

 Basic Statistics Part 2: Correlation vs. Causation

https://t.co/Azhyl8pDsX (2/7)
Basic Statistics Part 3: The Dangers of Large Data Sets: A Tale of P values, Error Rates, and Bonferroni Corrections

https://t.co/LetN6aEBRM (3/7)
Basic statistics part 4: understanding P values

https://t.co/K8MMMgTCOf (4/7)
Basic Statistics Part 5: Means vs Medians, Is the “Average” Reliable?

https://t.co/xDdsknlZyt
(5/7)
Basic Statistics Part 6: Confounding Factors and Experimental Design

https://t.co/yGxTh2HPf9 (6/7)
When can correlation equal causation?

https://t.co/Vl3JmC8NMe (7/7)
While you are here, also have a look at this thread on rules of logic:

https://t.co/OtVrL0nyIl
Thanks for your patience.

May be mark this thread too for reading later? One on logical fallacies: https://t.co/Z7S9kNsFoI

-End-

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And since today is International Day of Women and Girls in Science, let's highlight a few of them - just a few women among thousands of others who helped shape the world we live in today.

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Dorothy Hodgkin discovered the structure of insulin after 36 years of work.

"I was captured for life by chemistry and by crystals."


Sophia Jex-Blake fought for women's rights to study medicine. She was involved in founding two medical schools for women.

"It seemed discreditable to Great Britain that all her daughters who desired a University education should be driven abroad to seek it."


Alice Augusta Ball developed the "Ball Method", the most effective treatment for leprosy during the early 20th century. She was 23.


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“That brain of mine is something more than merely mortal; as time will show.”
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1. Galilean Relativity

We can never fully grasp, define, or understand a system we are part of.

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1/

Get a cup of coffee.

In this thread, I'll help you understand the basics of Binomial Thinking.

The future is always uncertain. There are many different ways it can unfold -- some more likely than others. Binomial thinking helps us embrace this view.


2/

The S&P 500 index is at ~3768 today.

Suppose we want to predict where it will be 10 years from now.

Historically, we know that this index has returned ~10% per year.

If we simply extrapolate this, we get an estimate of ~9773 for the index 10 years from now:


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But of course, we know the future is uncertain. It's impossible to predict it so precisely.

So, there's a sense of *false precision* in point estimates like this.

4/

To emphasize the uncertainty inherent in such predictions, a better approach is to predict a *range* of values rather than a single number.

For example, we may say the index will return somewhere in the *range* of 8% to 12% (instead of a fixed 10%) per year.

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After the visit, we dispense of the gown, gloves and change into our regular surgical mask to continue patient rounds. In public, we wear a cloth mask to comply with executive orders and as a courtesy to others who feel afraid and uncomfortable.
3/

Like most of you, we rarely wash the mask, we stick it in our pockets, pick it out of the glove compartment or off the floorboard when we need it.

In truth, we wish masks worked. If they did, it would be a cheap, and easy way to control the spread of Covid.

4/

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Carbon capture is broadly the "capture" of CO2 emissions from a power plant or other type of industrial facility.

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SRI KUMARIAMMAN, KANYAKUMARI (TN)
#bharatmandir #navratri2021

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