Applied Statistics for Scientists (2.0 days)

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  • Applied Statistics for Scientists (2.0 days)
    August 25, 2022 - August 26, 2022
    9:00 am - 4:00 pm Your Timezone

Applied Statistics for Scientists (2.0 days):

This course provides instruction on how to apply scientific approaches to data analysis by focusing on appropriate methods for analysis: descriptive statistics, hypothesis testing, analysis of variance and model building.

Applied Statistics for Scientists Objectives:

  • describe and analyze the distribution of data
  • develop summary statistics
  • generate and analyze statistical intervals and hypothesis tests to make data-driven decisions
  • understand issues related to sampling and calculate appropriate sample sizes
  • describe the relationship between and among two or more factors or responses

Outline:

1. Descriptive Statistics
• introducing summary statistics
• describing a distribution of values
• creating a summary table and tabulating data

2. Intervals
• producing confidence intervals
• producing tolerance intervals

3. Hypothesis Testing
• introducing hypothesis testing
• performing means (and variance) tests
• performing proportion tests

4. ANOVA
• defining analysis of variance and other terminology
• discussing assumptions and interpretation
• interpreting hypothesis statements for ANOVA
• performing one-way ANOVA

5. Simple Linear Regression
• producing scatterplots and performing correlation
• performing simple linear regression

6. Model Building
• introducing model building
• performing N-way ANOVA
• performing multiple linear regression
• performing ANCOVA

7. Model Diagnostics
• evaluating the validity of model assumptions
• evaluating model fit

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