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POLICE ADMINiSTRATION discuss/complete 4

Project description
1.The range is one of the easiest measures of dispersion to figure. The lowest value is subtracted from the highest value for a given data set and the difference is the range. For example, if we have ten scores for a given data set (80, 84, 85, 86, 87, 90, 91, 92, 93, 94) we simply subtract the lowest value (80) from the highest value (94) to get our range (14). Critics have argued that the range is a suspect measure of dispersion because it can be easily manipulated by individual values, in a manner similar to our previous discussion of the mean. For this discussion forum topic, I would like you to discuss why the range is so susceptible to individual extreme values. Include a data set that helps underscore your ideas regarding why the range is so susceptible to individual extreme data values. Please note, the data set does not need to be excessive for this assignment. Rather, a data set composed of ten individual scores will be sufficient. Also, please describe the value or usefulness of the range when conducting statistical analysis. In other words, how can the range be beneficial to us in describing the distribution of a data set? Please feel free to contact me with any questions and thanks in advance for your contributions to our discussion.(minimum of 200 words)
2.For the data output beginning on page 140, identify the appropriate measure of dispersion for each of the variables (HOME, ARREST, TENURE, and SIBS). The appropriate measure of dispersion for each is based upon the level of measurement (nominal, ordinal, interval, and ratio) of each. Lastly, provide the actual value of the measure of dispersion that you identified for each.(minimum of 300 words)

Instructions:
Must be returned in doc files
Must be in apa format
Must be completed by deadline
must be seperated by question and answer
Must answer each question to its entirety
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Added on 31.12.2014 00:24
file to complete this order will be uploaded to samedayessay.com for documents needed to to complete question #2

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