The Normal Distribution, Probabilities, and Sampling Distributions
Have you ever wondered how many forage samples you need to take to get a representative sample? You've tuned into the right place. Listen in as Dr. Julia Sharp from Clemson University covers the differences between Normal Distribution, Probabilities, and Sampling Distributions as she continues her series on Introductory Statistics. You'll be one step closer to improving you own sampling results.
Rather read than watch?
See what you missed!
- Basic Definitions
- Descriptive Statistics
What's Next?
Keep an eye out for more from Dr. Sharp on Introductory Statistics!
- Hypothesis Testing for a Single Mean
Dr. Julia Sharp, Clemson University
Dr. Julia Sharp, is an Associate Professor of Applied Statistics in the Department of Mathematical Sciences at Clemson University. She has more than seven years of experience working with data collection, management, and analyses across a variety of disciplines, including horticulture, food science and nutrition, computer science, biological sciences, and engineering. Dr. Sharp is a trained applied statistician, with expertise in the areas of experimental design and analysis, longitudinal data analyses, and generalized linear mixed models.
4.13.2016
