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1. www.washington.edu › students › crscatSTATISTICS - UW Homepage

   www.washington.edu › students › crscat

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   29 cze 2024 · Examines objectives & pitfalls of statistical studies; study designs, data analysis, inference; graphical & numerical summaries of numerical &categorical data; correlation and regression; estimation, confidence intervals, & significance tests. Emphasizes social science examples and cases.

2. apps.ualberta.ca › catalogue › courseSTAT 151 - Introduction to Applied Statistics I

   apps.ualberta.ca › catalogue › course

   1 dzień temu · Data collection and presentation, descriptive statistics. Probability distributions, sampling distributions and the central limit theorem. Point estimation and hypothesis testing.

3. infoguides.gmu.edu › statsclass › conceptsStatistics Concepts - Data Analysis & Statistics - InfoGuides at...

   infoguides.gmu.edu › statsclass › concepts

   4 dni temu · Resources on the topics covered in introductory statistics and data analysis classes (e.g., PUBP 511, COMM 650)

4. catalog.charlotte.edu › preview_course_nopopSTAT 2122 - Introduction to Probability and Statistics

   catalog.charlotte.edu › preview_course_nopop

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   3 dni temu · A study of probability models, discrete and continuous random variables, inference about Bernoulli probability, inference about population mean, inference about population variance, the maximum likelihood principle, the minimax principle, Bayes procedures, and linear models.

5. catalog.purdue.edu › preview_programProgram: Applied Statistics, BS - Purdue University

   catalog.purdue.edu › preview_program

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   2 dni temu · It offers courses in fundamental statistics and probability, and also courses that focus on statistical computation to train students as future data scientists. Students enjoy a great deal of interaction with faculty as well as small classes.

6. apps.ualberta.ca › catalogue › courseSTAT 252 - Introduction to Applied Statistics II

   apps.ualberta.ca › catalogue › course

   1 dzień temu · Methods in applied statistics including regression techniques, analysis of variance and covariance, and methods of data analysis. Applications are taken from Biological, Physical and Social Sciences, and Business. Prerequisite: One of STAT 141, 151, 161, 235 or SCI 151.

7. catalog.purdue.edu › preview_programApplied Statistics, BS - Purdue University - Acalog ACMS™

   catalog.purdue.edu › preview_program

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   3 dni temu · It offers courses in fundamental statistics and probability, and also courses that focus on statistical computation to train students as future data scientists. Students enjoy a great deal of interaction with faculty as well as small classes.