mathematics

Nairanjana Dasgupta

Nairanjana Dasgupta is a mathematics topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand Nairanjana Dasgupta rather than just read about it. In short: Nairanjana (Jan) Dasgupta is an Indian statistician at Washington State University, where she is Boeing Distinguished Professor in Mathematics and Statistics. Her research interests include large-scale multiple testing in bioinformatics, as well as applications involving nutrition and lactation, and the growth of apples.

Key takeaways

Nairanjana Dasgupta belongs to mathematics; place it in that map before memorising details.
Learn the definition first, then one example that makes the definition concrete.
Connect Nairanjana Dasgupta to a quantity you can measure, compute or draw — that is where exam questions come from.
Reproduce the core statement of Nairanjana Dasgupta from memory before moving on to harder problems.

Reference excerpt

Nairanjana (Jan) Dasgupta is an Indian statistician at Washington State University, where she is Boeing Distinguished Professor in Mathematics and Statistics. Her research interests include large-scale multiple testing in bioinformatics, as well as applications involving nutrition and lactation, and the growth of apples.

Education and career Dasgupta graduated from Presidency College, Kolkata in 1990, with a bachelor's degree in statistics and minors in mathematics and economics. She went to the University of South Carolina for graduate study in statistics. She earned a master's degree in 1994 with a thesis supervised by Stephen Durham on hyperfinite probability theory and completed her Ph.D. in 1996. Her doctoral advisor was John Spurrier, and her dissertation, on logistic regression, was Comparison to control in logistic regression. She joined the statistics faculty at Washington State University in 1996 and became the director of the newly established Center of Interdisciplinary Statistics Education and Research there in 2015.

Recognition Dasgupta was named Boeing Distinguished Professor of Math and Science Education at Washington State University in 2017. In 2018, she was named a Fellow of the American Statistical Association. She is the 2022 president of the Caucus for Women in Statistics and the 2026 JEDI Outreach Group chair-elect.

References

External links Nairanjana Dasgupta at the Washington State University website Archived 21 November 2018 at the Wayback Machine Nairanjana Dasgupta publications indexed by Google Scholar

Worked examples

Example 1 — a first encounter with Nairanjana Dasgupta

Start with the simplest possible case. Write down what Nairanjana Dasgupta claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In mathematics, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to Nairanjana Dasgupta before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about Nairanjana Dasgupta ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of Nairanjana Dasgupta

In research: Nairanjana Dasgupta appears in mathematics research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry: Engineering practice reuses Nairanjana Dasgupta in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom: Nairanjana Dasgupta is common in secondary-school and first-year university syllabi. It links to neighbouring topics American statisticians, Fellows of the American Statistical Association, Indian statisticians, so understanding it makes those chapters shorter.
In everyday life: Look for Nairanjana Dasgupta outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.

Ask Teacher Smith questions about this articleOpens your AI tutor with a question about “Nairanjana Dasgupta” →

Affiliate

Preply — study more efficiently by working with a personal tutor. 50% off.

How to study Nairanjana Dasgupta in 20 minutes

Read the reference excerpt below once, without taking notes.
Close the page and write down what Nairanjana Dasgupta means in your own words.
Compare your version with the excerpt and mark what you missed.
Work through the three examples above with pen and paper.
Explain Nairanjana Dasgupta out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is Nairanjana Dasgupta in simple terms?

Why does Nairanjana Dasgupta matter?

Because it connects several mathematics ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study Nairanjana Dasgupta?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on Nairanjana Dasgupta.