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power

Member Training: Small Sample Statistics

by Audrey Schnell 

Despite modern concerns about how to handle big data, there persists an age-old question: What can we do with small samples?

Sometimes small sample sizes are planned and expected.  Sometimes not. For example, the cost, ethical, and logistical realities of animal experiments often lead to samples of fewer than 10 animals.

Other times, a solid sample size is intended based on a priori power calculations. Yet recruitment difficulties or logistical problems lead to a much smaller sample. In this webinar, we will discuss methods for analyzing small samples.  Special focus will be on the case of unplanned small sample sizes and the issues and strategies to consider.


Note: This training is an exclusive benefit to members of the Statistically Speaking Membership Program and part of the Stat’s Amore Trainings Series. Each Stat’s Amore Training is approximately 90 minutes long.

[Read more…] about Member Training: Small Sample Statistics

Tagged With: power, small sample

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5 Ways to Increase Power in a Study

by Karen Grace-Martin  4 Comments

To increase power:

  1. Increase alpha
  2. Conduct a one-tailed test
  3. Increase the effect size
  4. Decrease random error
  5. Increase sample size

Sound so simple, right?  The reality is that although these 5 ways all work [Read more…] about 5 Ways to Increase Power in a Study

Tagged With: alpha, effect size, one-tailed test, power, random error, sample size

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  • How to Interpret the Width of a Confidence Interval
  • Member Training: Power Analysis and Sample Size Determination Using Simulation

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