Statistical Data Assignment Help

Statistical Data Assignment Help All statistical data do not always have a mean, median or mode. These data have at least one of these statistical measures.  As per statistics assignment experts, all continuous data has a median, mode and mean. Ratio level  data or numeric has mean and median while an ordinal and interval level have a median and mode only. Nominal data has only a mode. For example, the average hair color or model car and median for hair color cannot be calculated. In a normally distributed sample or symmetrical and continuous distribution, both the mean and the median can be used to measure of central tendency (Black, 2009). However, in this situation assignemnt help, the mean is widely preferred as the best measure of central tendency because it includes all the values in the data set for its calculation and any change in data will affect the value of the mean. Apart from this, the mean is being dragged in skewed distributions. In the presence of outliers in the data means huge or small values in comparison with remaining values can affect the right measurement of central tendency. In these situations, the median is generally considered to be the best representative of the measurement of central tendency (Gravetter & Wallnau, 2008).

Business Statistics Example A business statistic experts of assignment representing measure of centrality is known as the middle of the data. The various measures are mean, median and mode. Here, the Mode 3.7 is in the middle and median and mode are same in this case. Therefore, both of them median and mode are in the middle. In order to analyze dispersion, standard deviation will have to be calculated.

S. No. X (X-Mean) (X-Mean)2
1 4.0 (4-3.22) = 0.78 0.61
2 3.7 (3.7-3.22) = 0.48 0.23
3 3.7 (3.7-3.22) = 0.48 0.23
4 3.7 (3.7-3.22) = 0.48 0.23
5 1.0 (1-3.22) = -2.22 4.93
Total 16.1 6.23

  Mean (µ) = 16.1/5 µ= 3.22 Standard deviation can be calculated with the help of following formula: Standard deviation =  (Downing & Clark, 2010). ? = ? = 1.116 Coefficient of variation can be calculated through use of below formula: Coefficient of variation = = 1.116 / 3.22 = 0.346 or 34.6% Since Coefficient of variation is high, so the list is dispersed. The scores vary from the middle with 34.6%. At routine work, the most frequent amount of time (mode) matters most. For example, it may be possible that someone can spend 15 minutes on a task for a particular day, which usually takes 5 minutes. It is because another work can come in between and it can take more time to finish first task.  If frequency of time taken is not considered, the outcome will reflect that person is not efficient to work on time. Most frequent time i.e. 5 minutes can be 10 times and 15 minutes can be 2 times. In this case, frequency should be considered with the average time because after this, average does not look bad. In this condition, the median and mode can be used to determine the middle on the process and that will be 5. Time spent varies from the middle with two times in the process. References Black, K. (2009). Business Statistics: Contemporary Decision Making. USA: John Wiley & Sons. Downing, D. & Clark, J. (2010). Business Statistics. USA: Barron’s Educational Series. Gravetter, F. J. & Wallnau, L. B. (2008). Statistics for the Behavioral Sciences. USA: Cengage Learning. Nevid, J. S. (2008). Psychology: Concepts and Applications. USA: Cengage Learning.

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