Research Proposal: Measures -- Central Tendency &amp Variability Decision-Making

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Measures -- Central Tendency & Variability

Decision-making using measures of central tendency and variability

In order to determine which group of workers would have higher levels of manual dexterity, and would therefore have a lower chance of breaking significant inventory, measures of central tendency and variability would help the decision-maker come up with the most efficient solution to this problem.

Running the data for the two groups below, the following were the calculated measures of central tendency (mean and median) and variability (variance and standard deviation):

Group a

Group B





Looking at the measures of central tendency, the values for mean are the same for both groups. Thus, it is important to compare the two groups based on the second measure of central tendency, which is the median. Comparing the two groups, Group B. has a higher median, which is also true when the median value is compared against the mean. This indicates that most likely, the distribution of scores is negatively skewed, which means that the frequency for workers increases as the level of manual dexterity also increases. This gives the decision-maker a good basis for choosing Group B. over a, but to ensure that the decision-maker has indeed made the correct choice, it is important to look at the variability of the scores within each… [END OF PREVIEW]

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APA Format

Measures -- Central Tendency &amp Variability Decision-Making.  (2009, August 25).  Retrieved July 22, 2019, from

MLA Format

"Measures -- Central Tendency &amp Variability Decision-Making."  25 August 2009.  Web.  22 July 2019. <>.

Chicago Format

"Measures -- Central Tendency &amp Variability Decision-Making."  August 25, 2009.  Accessed July 22, 2019.