Sentence examples for statistics in particular from inspiring English sources

For the study of statistical population we used methods of descriptive statistics, in particular measure of central tendency: (min, max, mean, median, mode) and measure of variability (interquartile range, standard deviation, coefficient of variation).

Another active area where run statistics, in particular G n,k and S n,k, have interesting statistical applications is that connected to hypothesis testing; e.g., in tests of randomness.

Art-world statistics, in particular, still make for depressing reading.

The session will focus on universal credit and the Department for Work and Pensions' use of statistics in particular.

Both the lack of fair competition between businesses and the failure to widen access to education may have a common underlying cause: that South-East Asian countries remain in the grip of narrow elites.The problem betrays itself not just in the region's relative lack of memorable business names but in its basic economic statistics—in particular, labour productivity, the key to long-term growth.

The prevalent position is that words are extracted from the prior computation of statistics, in particular the transitional probabilities between syllables.

The producers in London get a similar grilling over running times, statistics and, in particular, their use of the phrase "joined-up development" in a script.

The programs have been used in structural engineering and code making, in hydrology, operations research, financial planning and mathematical statistics and, in particular, in the nuclear power plant, offshore, ship, automotive and aerospace industry.

Spherical t-designs and Euclidean t-designs are special cases of cubature formulas in approximation theory, and thus we get many connections with analysis and statistics, and in particular with orthogonal polynomials, and moment problems.

Finally in 2014 Agustín was awarded the "Premio Rey Juan Carlos de Economía" for his contribution in the field of economic statistics and in particular for his work in time series analysis for which he is considered one of the world leading experts.

We should be judging statistical claims on both sides, not just by the numbers, but by thinking carefully about who is making the claim, and why they've chosen to interpret those statistics in that particular way.