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Provided by: Creascience Fundamental Tools in StatisticsStatistics |
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An efficient and effective one-day refresher on the fundamental tools in statistics. This course covers the two main divisions of statistics: descriptive and inferential statistics.
First, the course covers descriptive statistics: the different types of variables, variability, distributions and the characterization of distributions through well-known statistics such as the mean and standard deviation as well as other less known statistics such as quartiles.
Inferential statistics, also known as statistical testing, is broached next: hypothesis testing, one-sided versus two-sided tests, p-values, risks, significance levels, and confidence intervals.
First, the course covers descriptive statistics: the different types of variables, variability, distributions and the characterization of distributions through well-known statistics such as the mean and standard deviation as well as other less known statistics such as quartiles.
Inferential statistics, also known as statistical testing, is broached next: hypothesis testing, one-sided versus two-sided tests, p-values, risks, significance levels, and confidence intervals.
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Training
Provided by Creascience
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- M asked: I don't know if I could do this course in one day. Can I get the materials printed so that I would have more time to study them?
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Fundamental Tools in Statistics
- 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
About The Training Provider: Creascience
Creascience - Creascience offers a wide array of training sessions in statistics aimed primarily at non-statisticians. We also provide specific training courses on statistical methods aimed at statisticians. People attend our training sessions to gain basic knowledge or to deepen some specific aspects. The training sessions are offered both in our offices and on-site, depending on the needs of the client. We...
