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mathematics

Linda M. Haines

Linda M. Haines 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 Linda M. Haines rather than just read about it. In short: Linda Margaret Haines (née Bower; born 1 August 1944 in Harrogate) is an English and South African statistician. Originally a chemist, she is known for her research in the design of experiments and in the application of those designs in clinical trials.

Key takeaways

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

Reference excerpt

Linda Margaret Haines (née Bower; born 1 August 1944 in Harrogate) is an English and South African statistician. Originally a chemist, she is known for her research in the design of experiments and in the application of those designs in clinical trials. She is a professor emeritus of statistical sciences at the University of Cape Town, the past president of the South African Statistical Association, and an elected member of the International Statistical Institute. Linda Bower read chemistry in Newnham College, Cambridge and earned a double first in natural science at Cambridge in 1965. She earned a master's degree in 1967 at University College London, under the supervision of M. H. B. Stiddard, winning UCL's Ramsay Medal for the top postgraduate student in chemistry in her year. Moving to South Africa, she completed her Ph.D. in 1970, in inorganic chemistry, at the University of South Africa, and married chemist Raymond J. Haines, while also working at the National Chemical Research Laboratories in Pretoria. Her dissertation, A Synthetic Study of Some Tertiary Phosphine and Phosphite Complexes of Rhodium and Iridium, was jointly supervised by Eric Singleton and W. J. A. Steyn. She returned to England as a researcher at the University of Sussex in 1972, and worked as a lecturer in chemistry at the University of Cape Town in 1975, but then began studying computer science and statistics at the University of South Africa while raising her children. In 1978, Haines became a lecturer in statistics and biometry at the University of Natal. She served as president of the South African Statistical Association for the 1999 term. In 2005 she moved as a full professor to the University of Cape Town. She retired from her professorship in 2009, and became an emeritus professor in 2013.

References

Worked examples

Example 1 — a first encounter with Linda M. Haines

Start with the simplest possible case. Write down what Linda M. Haines 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 Linda M. Haines 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 Linda M. Haines 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 Linda M. Haines

In research
Linda M. Haines 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 Linda M. Haines 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
Linda M. Haines is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1944 births, Academic staff of the University of Cape Town, Academic staff of the University of Natal, so understanding it makes those chapters shorter.
In everyday life
Look for Linda M. Haines 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.
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How to study Linda M. Haines in 20 minutes

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

Frequently asked questions

What is Linda M. Haines in simple terms?

Linda Margaret Haines (née Bower; born 1 August 1944 in Harrogate) is an English and South African statistician. Originally a chemist, she is known for her research in the design of experiments and in the application of those designs in clinical trials.

Why does Linda M. Haines 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 Linda M. Haines?

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 Linda M. Haines.

Tags

  • 1944 births
  • Academic staff of the University of Cape Town
  • Academic staff of the University of Natal
  • Alumni of Newnham College, Cambridge
  • Alumni of University College London
  • British women statisticians
  • Elected Members of the International Statistical Institute
  • English statisticians
  • Living people
  • People from Harrogate
  • South African statisticians
  • University of South Africa alumni

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