The paper "Business of Blood Bank of Delmarva" is a delightful example of a statistics project on marketing. Unlike in the past present managers, businesses and organization not for profit need to make smart decisions. Scholars have shown that statistics is a tool that has been used by managers across all fields to be more confident when dealing with unpredictable future thanks to available data (Bradley, 2007). It allows managers to make quicker and smarter decisions as well as stable leadership that leave all relevant stakeholders satisfied and happy.
In this case the paper will deal with a Blood Bank of Delmarva that is part of the America’ s blood centers offering blood as well as other blood related components to about 17 hospitals in Delmarva Peninsula. According to records about 350 blood donors are needed each day to meet the rising demands of blood transfusion. This paper will determine the level of measurement or type of scale for each variable investigated, briefly discuss the profile of the sample by performing a descriptive analysis and summarize the finding of selected questions and lastly a discussion of the marketing implications the findings obtained have.
SPSS will be used to carry out necessary Scale of measurement Data collected by researchers through questionnaires and other methods of data collection fall in one of the four levels of measurements or type of scale. These types of scale include nominal, ordinal interval and ratio scale (Michell, 1997). It is important for researchers to have an understanding of the major characteristics of these levels of measurements so that they can be able to apply suitable statistics and transformation scales which later translate to proper inferences and conclusions (Pallant, 2007). The nominal scale is the simplest of operations.
Usually, names or labels are used to refer to attributes. There are two main categories of nominal scale; dichotomous and non-dichotomous. The former is exemplified by attributes such as males, females while the later can refer to race such as African-America, Latino, Caucasian, and Native American among others, and this is made up of multiple values. With such scale, the only statistic applicable is the mode and when numbers are used, they only help researchers in simplifying the data through coding, for instance, male=0 and female=1.
This later makes it possible to perform such statistics as regression through dummy variables (Kontari, 2004). In most cases, data can only be put into groups and counted by frequency. According to Burns & Bush, 2010 data in ordinal scale refers to data sets that are ranked. This helps in describing order and not the relative size of the differences between attributes under measurement. It is worth noting that numbers given to attributes or variables only represent rank orders of the entities under assessment.
It is worth mentioning that data under this scale allows only two measures of central tendency to be performed, mode and median.