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Introduction to Statistical Analysis of High Throughput Data

A beginner's guide for laboratorians dealing with high throughput data from Disease Control Centers. Learn about shapes of distributions, frequency distributions, and central tendency measures like mode, median, and mean. Explore skewness and kurtosis concepts with practical examples.

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Introduction to Statistical Analysis of High Throughput Data

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  1. Introductory Statistics for Laboratorians dealing with High Throughput Data sets Centers for Disease Control

  2. Shapes of Distributions

  3. Shapes of Distributions

  4. Shapes of Distributions

  5. Shapes of Distributions

  6. Shapes of Distributions

  7. Shapes of Distributions

  8. Shapes of Distributions

  9. Uniform Distribution

  10. Density curves come in any imaginable shape. Some are well-known mathematically and others aren’t.

  11. Problem 6 • Scores: 9, 8, 8, 7, 6, 5, 5, 5, 4, 3 • How many scores are there? N = ________. • Make a frequency distribution using the table provided. • Make a bar chart of the data using the axes provided.

  12. Problem 6 Frequency Distribution

  13. Problem 6 Frequency Distribution

  14. Problem 6 Bar Chart

  15. Problem 6 Bar Chart

  16. Problem 6 Central Tendency • Which score is most frequent? • Draw a line on the bar chart that splits the distribution in half (ie: half the scores are above the line, half are below the line). • Calculate the average of the 10 scores. (Scores are repeated here: 9, 8, 8, 7, 6, 5, 5, 5, 4, 3 )

  17. Definitions: Central Tendency • There are three different statistics that are used to indicate the center/middle of the distribution. They are: • Mode: the most frequent score (Mo) • Median: the score that splits the distribution in half (half the scores above/ half below). (Md) • Mean: the arithmetic average. ( )

  18. Central TendencyIn a Symetrical Distribution

  19. SkewnessNegatively skewed distribution

  20. SkewnessPositively Skewed

  21. Kurtosis

  22. Examples

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