Cyril Richardson

Cyril Norman Hugh Long.

During his twenty-two years at Yale, Hugh Long has provided leadership as chairman of three departments (physiological chemistry, phar-macology and physiology), as dean, and as chairman of the division of biological sciences of the University, but even this unparalleled record of academic versatility and productivity reflects only a small part of his achievement. four years he came to Yale as P...

Cyril Norman Hinshelwood, 1897-1967.

Sir Cyril Burt in Perspective

Numerical peculiarities in Sir Cyril Burt's reports of kinship correlations are most reasonably attributable to carelessness rather than fraud. Showing statistically significant deviations from randomness in the final digits of correlations, Ns, and IQs, or other nonrandomness suggesting "digital preferences," is unconvincing as purported evidence that Burt's figures were faked. -No analysis is...

Kinship correlations reported by Sir Cyril Burt.

All the kinship correlations (and their sample sizes) reported over a period o f 30 years by Sir Cyril Burt are presented in tabular form. The kinships include identical twins reared together and apart, fraternal twins, siblings, parent-child, grandparent-grandchiM, cousins, and others, more rare types o f relationships. Burt's statistical methods and the procedures for testing and obtaining "f...

Concentration Bounds Lecturer : Sushant Sachdeva Scribe : Cyril

A way to think about what this proof is doing: X dominates the scaled indicator variable T = t · 1X≥t, so we have E[X] ≥ E[T ] = t · Pr[X ≥ t]. Markov’s inequality gives a rather weak bound when applied directly; the random variables we care about are usually much more highly concentrated. Let’s look at a toy example: flip 100 coins. What’s the probability that at least 70 of them come up heads...