The shape of a distributionPrice, Ian
According to Chebyshev's Inequality, for any distribution, the minimum percentage of observations that lie within k standard deviations of the distribution mean is equal to: 1-(1/k2), with k equal to the number of standard deviations. If k=2, then the percentage of distributions is equal to...
[解析]According to Chebyshev’s Inequality, for any distribution, the minimum percentage of observations that lie within kstandard deviations of the distribution mean is equal to: 1-(1/k2), with k equal to the number of standard deviations. If k= 2, then the percentage of distributions is ...
百度试题 题目中国大学MOOC: The shape of a F-distribution is: 相关知识点: 试题来源: 解析 positively skewed.
a(2003a), or Silverberg and Verspagen (2007) all find that the[translate] avalued patents at the extreme right tail than predicted by[translate] alog(VALUEM) rather than VALUEM is log-normally[translate] aconsistent with the shape of the distribution of patent[translate]...
百度试题 题目The shape of a F-distribution is:? positively skewed.negatively skewed.symmetric.uniform.相关知识点: 试题来源: 解析 positively skewed.
Regardless of the shape of a distribution, according to Chebyshev’s Inequality, what is the minimum percentage of observations that will lie within +/– two standard deviations of the mean? A. 68%. B. 89%. C. 75%.相关知识点: 试题来源: ...
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32.Shape is the pattern of the distribution of data values throughout the entire range of all the values. 33.The population mean is the sum of the values in the population divided by the population size N. 34.The population variance is the sum of the squared differences around the populati...