File999.Hatfield.Topic 1

File999.Hatfield.Topic 1 - 1 Department of Statistics TEXAS...

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Unformatted text preview: 1 Department of Statistics TEXAS A&M UNIVERSITY STAT 211 Instructor: Keith Hatfield 2 Register for the online materials • Go to http://dl 3 .stat.tamu.edu/dostat/ • Click on Register here • Specify account info and click Submit • Click on log in • Enter your account info and click on Log in! • Click on Add course • Enter the following information 3 Topic 1: Data collection and summarization • Populations and samples - pages 6 - 8 • Frequency distributions - pages 16 – 19 • Histograms - pages 20 - 22 • Mean, median, variance and standard deviation - pages 28 - 32 • Quartiles, interquartile range - pages 33 – 35 • Boxplots - pages 35 - 37 4 What is Statistics? • What do you think of when you hear the word “statistics”? (sports, boring, not applicable to my field of study) • Statistics: The science of collecting, classifying, and interpreting data. • Anticipated learning outcomes: – appreciate and apply basic statistical methods in an everyday life setting (Election polls, clinical trials, lies, big lies & statistics) – appreciate and apply basic statistical methods in their scientific field 5 Collecting data • Observational study : Observe a group and measure quantities of interest. This is passive data collection in that one does not attempt to influence the group. The purpose of the study is to describe the group. (Sports stats like John Madden, USA Today reports & the vast majority of other statistical applications in business) • Experiment: Deliberately impose treatments on groups in order to observe responses. The purpose is to study whether the treatments cause a change in the responses. (Polio Vaccine, Lyposene, General ANOVA concepts) 6 Observational Study Terms • Population: The entire group of interest (normally identified by those running the study, like college student info, strength of concrete production, public percentages or acid rain data). • Sample: A part of the population selected to draw conclusions about the entire population (must be cost effective, but large enough to provide statistically valid results) • Census: A sample that attempts to include the entire population (generally not done > too costly) • Parameter: A concept that describes the population (mean, median, std. dev, variance, something described in words) • Statistic: A number produced from a sample that estimates a population parameter (a numerical value for a selected parameter, developed from our sample data) 7 Horry County SC, Murder Case • Do juries properly represent the racial makeup of Horry...
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File999.Hatfield.Topic 1 - 1 Department of Statistics TEXAS...

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