Q1 Q2 Q3 Q4 Q5 Q6 Q7 Q8 Q9 Q10 A B C D
6 5 2 5 4 3 3 2 1 2 1 1 52 1 2 2
7 0 1 4 5 3 2 5 4 2 1 1 8 2 2 2
8 1 3 2 2 5 2 4 5 3 2 2 28 0 2 2
9 3 3 1 4 4 2 2 2 2 4 3 15 2 1 1
10 5 1 3 2 2 2 1 4 1 1 1 83 2 2 2
The median in this example would be 28 and the mean is 37.2. There is no mode for the example above because there are no numbers repeating themselves. For this type of data the mean would be most effective; this would give the company a better look at what the employee thinks about the company based on the average amount of time they have worked for BIMS. As central tendency refers to the middle of the distribution, variability is about the spread of the distribution. Variability is important because of the range of difference between the low score and the high score. The range, standard deviation, and the variance are all important parts of the variability. In the case of BMIS, if the scores are greatly different, then there will be a much larger spread within the distribution. The less difference in the scores means less variability.
Food Division - Attitude of workers and supervisors
Questions Very Negative Negative Satisfied Positive Very Positive
Q 1 20% 33% 10% 17% 20%
Q 2 29% 42% 6% 7% 16%
Q 3 13% 19% 21% 22% 25%
Q 4 13% 27% 13% 17% 30%
Q 5 16% 29% 26% 13% 16%
Q 6 32% 35% 26% 7%
Q 7 16% 38% 15% 12% 19%
Q 8 29% 32% 13% 23% 3%
Q 9 27% 46% 24% 3%
Q 10 26% 32% 23% 6%