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Tutorial 2 - Interpreting and Reporting Descriptive Statistics, Confidence Intervals, and Hypothesis Tests

Tutorial name:
Tutorial 2 - Interpreting and Reporting Descriptive Statistics, Confidence Intervals, and Hypothesis Tests

Day & Time:
March 10, 8:30AM - 12:00PM

Room Number:
Ballroom Salon I

Registration Fees
- Standard Rate$405.00


Description:

This 3-hour tutorial begins by defining a variable and progresses step-by-step through levels of measurement, how each level is reported with descriptive statistics, and how these statistics are applied and misapplied in biomedical research. Building on these concepts, the reasoning behind estimates, confidence intervals, and hypothesis testing is presented. Participants learn the strengths and weaknesses of P values, estimates, and measures of precision when reporting research results.

 



EventCredit TypeMax CreditsCEU
Tutorial 2 - Interpreting and Reporting DescriptivIACET
RN
3.25
3.25
0.300
0.000


Learning Objective(s):

At the conclusion of this tutorial, participants should be able to:

  • Define the three most common levels of measurement used in biostatistics
  • Define and describe the proper use of the most common descriptive statistics used in biomedical research
  • Explain what a 95% confidence interval is and why it is valuable in reporting research
  • Discuss the hypothesis tests and related concepts


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