Simulation Case Problem County Beverage Drive Thru (Essay Sample)

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Simulation Case Problem County Beverage Drive Thru
Managerial report
There are various components required by the simulation project. The variables being referenced herein are requisite components for the simulation model to work. The information that should be generated is that of the effectiveness of the various potential approaches that may be employed. There are three options that are available for the firm. The simulation model ought to avail data that will aid in the decision making process. The data that is availed ought to be such that it ensures that the most efficient and effective option is employed. The current system is a single server that is operated by one clerk. The need to augment the performance of the firm has compelled the need for additional focus to be given on more alternatives. There is single server system that will be manned by two clerks. On the other hand, there is the two-server system that will be manned by two clerks. The simulation model is required to provide the option that will be both efficient and effective for the firm. The goal is to employ a system that will be cost effective for the firm while enhancing the ability of the firm to accommodate a greater traffic of customers.
Information in the spreadsheet simulation model
Dependent variables are those variables that are being tested by the experiment (Hahs-Vaughn & Lomax, 2013). On the other hand, the independent variable is that which is controlled by the scientific experiment in question (Fukunaga, 2013). The intent of the control is to test the effect of the independent variable on the dependent variable.
Identify each of the following variables as nominal, ordinal, discrete or continuous data:
* Single system server operated by one cleark
Nominal data
* Single system server operated by two cleark
Ordinal data
* The length of time that the serves serve each client
Discrete data
* The standard categories for effectiveness of the system (less than 18.5 (underweight), 18.5–25 (normal), >25–<= 30 (overweight) and >30 (obese)).
Ordinal data
Efficiency
Mean: 3.75
Median: 2.5
Mode: 2,3
Standard deviation: 4.30116
What is a skewed sample? What is the best measure of central tendency when a sample is skewed? Why?
The term skewed sample is used to mean that bias has been introduced into a sample (Peck, Olsen, & Devore, 2011). When the data is skewed, it tends to impair the ability of the mean to become the best measure of central tendency in a given data set. In such circumstances, then the median then becomes the best measure of central tendency. The reason for this is because of the features of the mean as a measure of central tendency (Ross, 2010). The mean is extremely vulnerable to the presence of extreme values. As such, when data is skewed, the mean tends to be pulled into the vicinity of the outliers. The culminating effect is a mean that is adversely inflated or deflated (Welkowitz, Cohen, & Ewen, 2006). The references to be made are dependent on the culminating effect that has been identified.
Differences and similarities in age between the case group and the control group
The control group is characterized by a higher mean, median and standard deviation as compared to the case group. The same can also be said about the range. The single system server with one clerk in the control group has a higher range as compared to the case group. However, the control group has a lower degree of variation as compared to ...