QNT561 Sampling and Data Collection Pla
Sampling and Data Collection Plan
Name
QNT/561
October 27, 2014
Instructor
Introduction
Royal Blue Airlines is a medium sized airline company offering flights throughout the United States, Mexico, Caribbean Islands, and Latin America. The company operates a fleet of Boeing 737 aircrafts and is in the process of replacing older ones with newer, state-of-the-art planes. These new planes are very expensive, so management wants to maximize passenger count. A study has been authorized to determine: Is there is a difference in the number of passengers taking flights (DV) that are based upon certain days of the week (IV)?
Population and Size
The population for this study consists of airline passengers that numbers in the millions. This population is a vast number of subjects and unrealistic to gather data on each one. The target population will be chosen, and inferences will be made about how the results also apply to the entire population.
Target Population
By narrowing the research to just passengers on Royal Blue Airlines, the study becomes more manageable. Royal Blue Airlines stores data on each flight so they have already had a head start on determining customer trends. By using their company’s data, the cost of the project is drastically reduced and will offer greater insight to answer the research question.
Sampling Element
A survey consisting of six questions (Appendix A) will be handed out to all passengers during flights for a one-month period. The returned surveys will serve as a database for this project and from which random samples are taken. For additional information, management can compare survey results to passenger data stored in the company database. The information generated from surveys and data mining will be analyzed to determine if there is a difference in passenger count for each day of the week.
Method of Sampling
The surveys are collected and placed in the order they are received, each one given a sequential
Name
QNT/561
October 27, 2014
Instructor
Introduction
Royal Blue Airlines is a medium sized airline company offering flights throughout the United States, Mexico, Caribbean Islands, and Latin America. The company operates a fleet of Boeing 737 aircrafts and is in the process of replacing older ones with newer, state-of-the-art planes. These new planes are very expensive, so management wants to maximize passenger count. A study has been authorized to determine: Is there is a difference in the number of passengers taking flights (DV) that are based upon certain days of the week (IV)?
Population and Size
The population for this study consists of airline passengers that numbers in the millions. This population is a vast number of subjects and unrealistic to gather data on each one. The target population will be chosen, and inferences will be made about how the results also apply to the entire population.
Target Population
By narrowing the research to just passengers on Royal Blue Airlines, the study becomes more manageable. Royal Blue Airlines stores data on each flight so they have already had a head start on determining customer trends. By using their company’s data, the cost of the project is drastically reduced and will offer greater insight to answer the research question.
Sampling Element
A survey consisting of six questions (Appendix A) will be handed out to all passengers during flights for a one-month period. The returned surveys will serve as a database for this project and from which random samples are taken. For additional information, management can compare survey results to passenger data stored in the company database. The information generated from surveys and data mining will be analyzed to determine if there is a difference in passenger count for each day of the week.
Method of Sampling
The surveys are collected and placed in the order they are received, each one given a sequential