You have come up with a great new idea for a product and are thinking about starting your own business. Your idea is an automatic pet groomer! We have robotic carpet vacuums, why not one that every six weeks or so bathe, cuts hair, and trim nails for the household pet!
You have solved the technical problems, but are not sure if it is economically feasible. Your analysis suggests that if the average citizen of the nearest major city to you spends at least $ 100 every three months on pet grooming your product will be an enormous success. You have conducted a survey to gather data, but do not know what to do next. In this workshop, you will learn how to create hypotheses for research testing and how to test those hypotheses about the population. Using these methods, you can see if your idea has any potential or not
Upon successful completion of this assignment, you will be able to:
As you were thinking about your hopeful new business, it occurred to you that the nearest city to you may not be the best place, that some other city might be a better place to start this business. So in addition to the data on your nearest city, you also collected data from another larger city in your region. Comparing two or more sets of data is a common task in data analytics. In this workshop, you will learn how to write hypotheses, and also learn how to examine data between two different variables. So using these techniques, you may be able to make an informed decision concerning the viability of your new business opportunity and if one city is better than the other