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Test subjects may have been invited instead of random sampling, resulting in sampling bias. Some countries may have significant height gaps between different regions. For instance, one survey shows there is 10.8 centimetres (4.3 in) gap between the tallest state and the shortest state in Germany. [6]
The GCP maintains a network of hardware random number generators which are interfaced to computers at 70 locations around the world. Custom software reads the output of the random number generators and records a trial (sum of 200 bits) once every second.
A record of the heights of the presidents and presidential candidates of the United States is useful for evaluating what role, if any, height plays in presidential elections in the United States. Some observers have noted that the taller of the two major-party candidates tends to prevail, and argue this is due to the public's preference for ...
Date/Time Thumbnail Dimensions User Comment; current: 21:15, 6 July 2009: 360 × 239 (22 KB): Stpasha: corrected scale (hopefully) 00:45, 6 July 2009: 512 × 512 (22 KB): Stpasha
Human body weight is a person's mass or weight.. Strictly speaking, body weight is the measurement of mass without items located on the person. Practically though, body weight may be measured with clothes on, but without shoes or heavy accessories such as mobile phones and wallets, and using manual or digital weighing scales.
Height measurement using a stadiometer. Human height or stature is the distance from the bottom of the feet to the top of the head in a human body, standing erect.It is measured using a stadiometer, [1] in centimetres when using the metric system or SI system, [2] [3] or feet and inches when using United States customary units or the imperial system.
Hepburn survived that troubling time by eating endive and tulip bulbs that she dug herself. She took to reading to distract herself from the constant hunger. Dotti writes:
The expected value of a random variable is the weighted average of the possible values it might take on, with the weights being the respective probabilities. More generally, the expected value of a function of a random variable is the probability-weighted average of the values the function takes on for each possible value of the random variable.