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Introduction to Statistics

  March 01, 2005  

Creascience, Montreal
March 7, 2005

  • Introduction
  • Descriptive Data Analysis

    • Why Do we Need Statistics? Overview of Descriptive or Exploratory Data Analysis

    • Type and Role of Variables in Studies and Experiments

    • Visualizing and Summarizing Data: The Concept of a Distribution

    • Characterizing Distributions with Numerical and Graphical Tools: mean, median, standard deviation, standard error, histogram, Box-plot, etc.

    • Exploring the Relationship between Two variables: Scatter Plots, Correlation Coefficients, Frequency Tables

  • Statistical Inference or Statistical Testing

    • Overview: What is Statistical Inference?

    • Statistical Inference with Hypothesis Testing: null and alternative hypotheses, one-tailed vs. two-tailed tests, test statistics, p-value, statistical significance, decision rules

    • The Concept of Risk and Power: risks involved, type I and II errors, confidence level and power of test

    • Statistical Inference with Confidence Intervals: how it works, when to use it

    • Equivalence of the Hypothesis Testing and the Confidence Interval Approaches

    • Statistical Inference for a Single Sample or Group: Hypothesis Testing vs Confidence Interval Approach

  • Summary

Organized by: Creascience
Invited Speakers: Natalie Rodrigue
Deadline for Abstracts: 2005-03-07
Registration: http://training.creascience.com/product_info.php?cPath=22&products_id=149
E-mail: rodrigue@creascience.com
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