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Data Literacy: Busting Myths of Big Data
March 1, 2022 @ 12:00 pm - 2:00 pm
This event is free for graduate and undergraduate students, as well as for faculty
To register, click here
(1) Types of Data. Why do we collect data? (2) Population versus Sample (3) Experiments, observational studies (4) Exploratory studies versus confirmatory studies (5) The Idea of inference (6) Distinction: Uni-variate, Bi-variate, Multi-variate, multiple (7) Graphical Summary of data (8) Numerical summary of data (9) From center to one sample tests (10) Going from population to sample (11) Testing and Confidence Intervals (12) Errors in testing (13) Type I and Type II: which one is worse (14) Power (15) The margin of error and power (16) Sample size from power and vice versa (17) Type of design and power (18) Understanding effect size (19) Statistical significance (20) P-value – good, bad, or misused
Dr. Nairanjana Dasgupta, Boeing Science/Math Education Distinguished Professor in Mathematics and Statistics