Running Head: DESCRIPTIVE STATISTICS PROCESSES 1
DESCRIPTIVE STATISTICS PROCESSES 2
Descriptive statistics processes include position measure also referred to as the central tendency or location measures, spread measures also referred to as dispersion measures or variability and shape measures. Position statistics aim to measure the central tendency of data and include the mean, median, mode, range and standard deviation. The mean refers to the total of all the data values divided by the data set size used with symmetrical data distribution with no outliers (Benard, Wutich & Ryan, 2016). The median is the middle value where the exact half of the data values are either half below it or half above it and reduces the effects of outliers in a nonsymmetrical data. The mode refers to the value to occur most frequently in the data set and is rarely used in central tendency measure but useful in distinguishing unimodal and multimodal distributions.
Measures of spread refer to how data deviates from the position measurement of mean or median giving a variation indication for quality improvement and control process variability in such areas as transactional and manufacturing processes. The measures include standard deviation and range. Range refers to the higher and lowest values difference whereas standard deviation refers to the average distance of the data points form the mean.
References
Bernard, H. R., Wutich, A., & Ryan, G. W. (2016). Analyzing qualitative data: Systematic approaches. SAGE publications.
Spiegel, M. R., & Stephens, L. J. (2017). Schaum's outline of statistics. McGraw Hill Professional.
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