Introduction to statistical methods and reasoning. Statistical methods are useful in dealing with situations that are subject to uncertain outcomes. We will develop skills that allow for the incorporation of uncertainty into the analysis of quantitative problems. We will study how data are collected and described (experimental design and sample surveys), probability, the law of large numbers, expected value, standard error, confidence intervals, and tests of significance, one- and two-sample problems, correlation and regression.

Math 134 Syllabus Take the <Statistics Spring 2017 Survey Here>

Test 1 first page

- Income by Education Level
- NY Times 2016 Election Prediction
- Gallup Data Site
- How Polling Can Go Wrong
- Bias in Gallup's 2012 Polls
- DNC - Biased Survey
- RNC - Biased Survey
- Polls - Margin of Error is Twice of What's Reported
- The Median is not the Message Video and video transcript

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