PPT-Using Measures of Data Variation

to Evaluate the Credibility of Statistics in the News Looking at Normal Distribution and Its Familiar Curve Using Measures of Data Variation to Judge the Credibility of Statistics in the News. Section 3-3. Objectives. Describe data using measures of variation, such as range, variance, and standard deviation. Example: You own a bank and wish to determine which customer waiting line system is . Mean, Median, Mode, . Range. Measures of Variation. Box . Plots. Line . Plots. Histograms. CCGPS Standards. MCC6.SP.1. . Recognize a statistical question as one that anticipates variability in the data related to the question and accounts for it in the answers. For example, “How old am I?” is not a statistical question, but “How old are the students in my school?” is a statistical question because one anticipates variability in students’ ages. . Dept. Veterinary Integrated Biosciences. College of Veterinary Medicine and Biomedical Science. Texas A&M University. Genetic Testing of Feral Horses. Testing began in early 1990s.. Usually at the request of an individual from a specific HMA or a private individual.. Projects Data Support. . GES DISC User Working Group. May 10-11, 2011. Bruce Vollmer. Bruce.E.Vollmer@nasa.gov. 301-614-5373. MEaSUREs. Datasets at the GES DISC. PI. Start Date. End Date. Title. Chung-Lin Shie. News. Looking at Normal Distribution and Its Familiar Curve. Using Measures of Data Variation to Judge the Credibility of Statistics in the News. Just as you can use measures like the margin of error and standard deviation to gauge your confidence in the data that you’re reading, you can also use these metrics to measure your confidence in the articles or stories where the statistics are reported. . Dept. Veterinary Integrated Biosciences. College of Veterinary Medicine and Biomedical Science. Texas A&M University. Genetic Testing of Feral Horses. Testing began in early 1990s.. Usually at the request of an individual from a specific HMA or a private individual.. Ch.3 – Quantifying Uncertainty. Anthony J Petrella, PhD. Bioengineering. Big Picture. Why study traditional probability (Ch. 2)?. Unions and intersections allow us to conceptualize system level variability with multiple sources. . Mean, Median, Mode. Measures of Variation. . Range, Variance and Standard Deviation. Measures of Association. . Covariance and Correlation. Describing Data: . Summary Measures. Displaying Data. Question 1a. What does 30 represent on the box plot? . Question 1b. What does 78 represent on the box plot? . Question 1c. What does 105 represent on the box plot? . Question 2a. What is the interquartile range of this box plot? . What We Will Learn. Compare mean, median, and mode. Find range and standard deviation. Identify effects of transformations on data. Needed Vocab. Measure of center:. mean, median, and mode. Mean:. sum of the data divided by total number of data values, aka average. Group data Vs. Ungrouped data . Statistical . data is of two types - Grouped and . Ungrouped. . Grouped data. : . Grouped . data is the type of data which is subdivided into classes. Grouped data is not purely raw data. . Focus points. Find the range, variance, and standard deviation.. Compute the coefficient of variation from raw data. . Explain why it is important.. Apply . Chebyshev’s. theorem to raw data. . Explain what a . 1-. Measurements of central tendency. . (average measurements). 2-. Measurments of variability. (dispersion measurements). Measures of Central Tendency. What is central tendency?. The “middle” / “center” of a variable’s distribution.. Tarun Kapoor, MD, MBA. SVP and Chief Digital Transformation Officer. TB;DL*. We Can’t Eliminate Clinical Variation. .....but Maybe We Can Limit It. Understanding What Causes Variation May Be the Key to Limiting It.