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Mastering Basic Statistics with JMP Series by Kevin Potcner

Join Kevin Potcner, JMP Academic Ambassador, to learn best practices for using JMP, data management, describing data, inferential statistics, hypothesis testing, and more. Explore statistical models, categorical and continuous variables, and practical exercises with the Fitness Dataset.

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Mastering Basic Statistics with JMP Series by Kevin Potcner

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  1. Producing and Interpreting Basic Statistics MASTRERING JMP SERIES Kevin Potcner JMP Academic Ambassador kevin.potcner@jmp.com

  2. AGENDA • Best Practices in using JMP • Data Management and Manipulation • Tools • Local and Global Data Filter • Describing Data • Graphical and Numerical Analyses • Inferential Statistics • Hypothesis Testing and Confidence Intervals • Statistical Models • Categorical Explanatory Variable • Continuous Explanatory Variable

  3. FITNESS DATASET . . . . . . . . .

  4. FITNESS DATASET . . . . . . . . .

  5. FITNESS DATASET . . . . . . . . .

  6. OBJECTIVES • Describe the data • Understand variation and location

  7. OBJECTIVES • Use the sample data to make inference to a population • Estimate Mean Oxygen Uptake

  8. OBJECTIVES • Identify differences in Oxygen Uptake across explanatory variables • One Variable Analysis of Variance

  9. OBJECTIVES • Find variables that best explain/predict Oxygen Uptake • Linear Regression Analysis

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