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- Develop Confidence Intervals for Parameters.
- Develop Confidence Intervals for Proportions.
- Determine an appropriate sample size to achieve a desired margin of error.
- Develop a hypothesis testing matrix.
- Understand the implications of Type 1 and Type 2 errors.
- Identify when and how to correctly execute a Hypothesis test:
- One Sample Proportion (z-test)
- Two Sample Proportion (z-test)
- One Sample Parameter (t-test)
- Two Sample Parameter (t-test)
- Paired Sample Parameter (t-test)
- Apply the concepts to a specified dataset.
No application is required to register for this course.
Hardware Requirements: You must have a computer and some kind of high-speed internet connection – we recommend a 128mbps connection at a minimum. You should also have a headset, preferably with a microphone (you can purchase these for less than $30 at any electronics store), which will allow you to engage in online conversations with professors as needed.
Software Requirements: You will be required to have access to R. R is freely available open source statistical analysis environment. The first course in the online certificate program is an introduction to R. It includes information on downloading and installing R.
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| Course ID/# : 1882/UANA1012 |
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Fee: $1,000.00
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