Research Design Worksheet
Concept Application of Concept in Scenario Reference to Concept in Reading
Identify tools of data analysis Descriptive and inferential statistics:
Descriptive statistics allow for gathering and presenting the information in a meaningful way. A good example of the use of descriptive statistics is the initial demographic profiling of target cities in the Coffee Time simulation. In the quest for market expansion of the Coffee Time in South Asian marketplace, Brad Collins of Coffee Time has profiled top 12 cities of India based on their cultural outlook and affluence. The data gives the information about the consumer class density in each of the cities. The initial research provides information on lifestyle and leisurely spending patterns to study the spending power and outlook in each of the cities. Research data also presents the distribution of population in these cities by age, income groups, spending patterns on leisure and lifestyle, demographics and many other research variables. The data available on such factors will help in ranking the cities to further narrow down the target cities.
Inferential statistics plays a big role in the Coffee Time's research objective of expected revenue. As part of the primary data collection a sample from targeted population segment is collected and surveyed for the consumers' coffee spending patterns, brand name consciousness and presence of competitors in various categories researched by use of secondary data. The result of the survey is compiled to calculate the expected revenue as R = Sum(Pi * pi * fi * si) where,
R = Expected revenue
Pi = population in ith segment pi = population in ith segment who will come to coffee Time.
Fi = frequency of visit of customers from ith segment
Si= amount spent by customers of the ith segment.
Statistics, graphics, and ethics:
Statistics and graphics are about data crunching, interpretation and presentation of data to find useful and reasonable information to accomplish the
Identify tools of data analysis Descriptive and inferential statistics:
Descriptive statistics allow for gathering and presenting the information in a meaningful way. A good example of the use of descriptive statistics is the initial demographic profiling of target cities in the Coffee Time simulation. In the quest for market expansion of the Coffee Time in South Asian marketplace, Brad Collins of Coffee Time has profiled top 12 cities of India based on their cultural outlook and affluence. The data gives the information about the consumer class density in each of the cities. The initial research provides information on lifestyle and leisurely spending patterns to study the spending power and outlook in each of the cities. Research data also presents the distribution of population in these cities by age, income groups, spending patterns on leisure and lifestyle, demographics and many other research variables. The data available on such factors will help in ranking the cities to further narrow down the target cities.
Inferential statistics plays a big role in the Coffee Time's research objective of expected revenue. As part of the primary data collection a sample from targeted population segment is collected and surveyed for the consumers' coffee spending patterns, brand name consciousness and presence of competitors in various categories researched by use of secondary data. The result of the survey is compiled to calculate the expected revenue as R = Sum(Pi * pi * fi * si) where,
R = Expected revenue
Pi = population in ith segment pi = population in ith segment who will come to coffee Time.
Fi = frequency of visit of customers from ith segment
Si= amount spent by customers of the ith segment.
Statistics, graphics, and ethics:
Statistics and graphics are about data crunching, interpretation and presentation of data to find useful and reasonable information to accomplish the