PPT-Measures of Variation

Section 33 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 . to paralinguisticphonetic variation and attempted solutions are discussed.1 IntroductionOne of speaker specific qualities like age, sex,emotions and attitudes. for different typically made by lingu 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.. 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. . 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. 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.. . 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? . y = . kx. , where k ≠ 0. . The constant of variation for a direct variation . k. is the coefficient of . x.. Example of direct variation. : The time it takes to hear thunder varies directly with the distance from lightning. (As the distance from lightning increases, so does the time it takes you to hear the thunder!). 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. 1(a) paned o de; 1(b) panad o de; 1(c) dishgled o de. 2(a) Give me the book; 2(b) Give us the book; 2(c) Gizthebook. 3(a) a handbag; 3(b) a hambag. 4(a) Would you mind passing me that book? 4(b) Pass me that book. Human variation: defined . Human variation refers to the fact that there are a range of possible values for each of the numerous physical characteristics of human beings.. People of the same species can have differing phenotypic traits that can be related to:. 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 .