By M. M. Botvinnik
Textual content: English, Russian (translation)
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Additional info for Computers In Chess Solving Inexact Search Problems
Don’t worry about the language, just plow ahead, forming these rough foundation paragraphs for the entire outline of the section. 9. 1. List Simple Sentences To clean and tighten the large, rough paragraphs, you must build them afresh: it is time to go back to lists. Take each paragraph and list its sentences in order. If a sentence is complex, break it into two or three consecutive simple sentences. Make each sentence spare and declarative, and make them transitive statements of the form: Jane ate ginger cookies.
Of 120 babies data histogram 100 80 normal distribution curve 60 40 20 0 1179 1700 2221 −4 −3 −2 2742 3263 3784 Birthweight (g) −1 0 1 Standard Deviations 4305 4826 5347 2 3 4 Drawn over the histogram is a continuous line showing how an idealized, bell-shaped normal curve (a normal distribution) might be fitted to the actual experimental data. 1 lb). The bottom line shows the locations on the x-axis of 1, 2, 3, and 4 standard deviations away from the mean, which is 3,263 g. The properties of the standard deviation tell us that 68% of all the data values will be within −1 and +1 standard deviations from the mean of a normal distribution and that 95% of all data values will be within −2 and +2 standard deviations from the mean.
When the range of the central 50% is narrow, the pile of numbers is compact, and when the central 50% has a wider range, the data pile is spread out. 46 Chapter 4 Central 50% The central 50% of a data pile lies between the 25th and 75th percentile values. To find these percentile values, line up your data points in numerical order. Find the data point that 25% of the data points are less than, and identify the value of that point as the lower limit of the central 50%. Then find the data point where only 25% of the data points are greater, and identify the value of this point as the upper limit of the central 50%.
Computers In Chess Solving Inexact Search Problems by M. M. Botvinnik