Quantitative Analysis is the art of interpreting data. It tends to feel like a math course because you are primarily working with numbers, but it is incorporated into a variety of majors that work with numbers. For example, chemistry, sociology, political science, business, and public policy all involve the interpretation of data in some capacity, though none of these are considered math subjects. If you feel like you're stuck in a math class, Varsity Tutors can set you up with a knowledgeable Quantitative Analysis tutor to help you work through it.
Here are some of the central concepts you may explore during Quantitative Analysis tutoring sessions:
- Confidence Intervals
- Test Statistics
- P-Values
- Implications of Data Quality and Quantity
- Statistics Software (SPSS, Stata, R)
In addition to the above, you can expect to apply statistics to problems based on your area of study. For example, a chemistry student may use statistics to calculate the contents of an unknown solution, including the uncertainty involved if the data available is insufficient to determine a certain answer. In contrast, a Political Science student may look into the processes behind the "margin of error" listed at the bottom of every political poll. Finally, business majors interpret statistics through the lens of business decisions in areas such as market research and writing business plans.
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