Question #70890

What characteristics are important to process when considering a random sample?
1

Expert's answer

2017-11-08T14:15:07-0500

Answer on Question #70890 – Math – Statistics and Probability

Question

What characteristics are important to process when considering a random sample?

Solution

The median is the so-called mean value of an ordered series of values of a random variable:


Me={xk+xk+12,n=2k,xk+1,n=2k+1,M_e = \begin{cases} \dfrac{x_k + x_{k+1}}{2}, & n = 2k, \\ x_{k+1}, & n = 2k + 1, \end{cases}


where nn is the size of the sample.

Mode is a value that has a higher frequency than others.

The sampling range is the difference between the largest and smallest values of the random sample:


R=xmaxxminR = x_{\max} - x_{\min}


Average sample


X=1ni=1nxi\overline{X} = \frac{1}{n} \sum_{i=1}^{n} x_i


Sample variance


σ2=1ni=1n(xiX)2\sigma^2 = \frac{1}{n} \sum_{i=1}^{n} \left(x_i - \overline{X}\right)^2


Unbiased sample variance


s2=nn1σ2=1n1i=1n(xiX)2s^2 = \frac{n}{n-1} \sigma^2 = \frac{1}{n-1} \sum_{i=1}^{n} \left(x_i - \overline{X}\right)^2


The mean square deviation


σ=σ2=1n1i=1n(xiX)2\sigma = \sqrt{\sigma^2} = \sqrt{\frac{1}{n-1} \sum_{i=1}^{n} \left(x_i - \overline{X}\right)^2}


The coefficient of variation


V=σX100%=1n1i=1n(xiX)21ni=1nxi100%V = \frac{\sigma}{\overline{X}} \cdot 100\% = \frac{\sqrt{\frac{1}{n-1} \sum_{i=1}^{n} \left(x_i - \overline{X}\right)^2}}{\frac{1}{n} \sum_{i=1}^{n} x_i} \cdot 100\%


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