Suppose you are the manager in a small town in the lake district of a mid-western state that enjoys a robust tourist season during the summer months but has only a small population of residents during the off season. The little town caf? adjusts the levels of staff according to the time of year to coincide with the number of guests, with the tourist season typically starting around Memorial Day each year. One wait staff employee can serve 50 guests. When a bus staff employee is added, the pair can serve 75 guests. At 76 guests, the caf? adds a second wait staff employee, for a total of 2 waiters and one busser. Analysis of guest numbers can support future decisions about scheduling wait staff, dishwashers, and bus staff for the caf?.

Write a report in which you do the following:

1. Explain why this is (or is not) a suitable sample of quantitative data for the business scenario.

2. Evaluate the factors that would affect the validity of the data set.

3. Evaluate the factors that would affect the reliability of the data set.

4. Explain the steps you took to arrive at your conclusion about validity and reliability.

5. Display the data set in a chart explains briefly why that chart type was selected calculates the measures of central tendency and variability (mean, median, mode, standard deviation) for the data.

6. Explain the steps you followed to come your answer.

7. Interpret the measures of central tendency and variability.

8. What are three conclusions you can draw based on the data analysis?

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Month Date May 20 21 22 23 June 24 25 26 27 28 29 30 31 1 2 3 4 567 2012 48 43 57 56 61 73 110 107 112 90 96 91 105 107 105 89 91 96 92 2013 42 40 51 49 71 97 94 95 76 73 81 94 96 87 81 76 83 85 96 2014 58 45 47 80 105 102 110 91 94 91 107 112 89 94 96 99 115 123 96 Month Date May 20 21 22 23 June 24 25 26 27 28 29 30 31 1 2 3 4 567 2012 48 43 57 56 61 73 110 107 112 90 96 91 105 107 105 89 91 96 92 2013 42 40 51 49 71 97 94 95 76 73 81 94 96 87 81 76 83 85 96 2014 58 45 47 80 105 102 110 91 94 91 107 112 89 94 96 99 115 123 96

Answer rating: 100% (QA)

1 Quantitative data deals with numbers and things you can measure objectively dimensions such as height width length prices etc Generally when you measure something and give it a number value you crea... View the full answer