
Understanding Data Representation and Plotting in Biostatistics
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Understanding Data Representation and Plotting in Biostatistics
Learn about the methods of presenting and plotting data in stats with this free online biology course.
Confident you have the skills to certify without completing the course content?
- Enrolled
Positive Ratings
- Avg. Duration4-5 Hours (Contains Video)
- Available Languages (1)
English
This course is
CPD-Accredited
Learning Outcomes
In this free course, you will learn how to:
- Define the concepts of descriptive and inferential statistics
- List the various types of quantitative and qualitative data
- Identify the significance of data representation
- Describe the procedure for calculating arithmetic and geometric mean
- Indicate the geometric mean's relative strength over the arithmetic mean
- Compute the variability of data using absolute and standard deviation
- Explain the process of calculating the standard error of the mean
- Outline the practical significance of the standard deviation
- Describe the procedure for calculating the Z-score
- Discuss the methods of assessing the skewness of statistical data
- State the process of determining the moments of statistical data
- Explain the methods of data plotting using R-programming
Course Overview
About This Course
Course Description
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