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MGQ 2014 credits

MGQ 201: Introduction to Statistics for Analytics

1 review from 1 semester · last one Dec 9

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From the catalog
This course is designed to introduce students to statistical concepts and applications and cultivate student statistical literacy. Topics that are covered include descriptive statistics, probability distributions, the Central Limit Theorem, applications of the normal distribution, sampling, confidence intervals, and hypothesis testing. In the first part of the course, students will become proficient in using Microsoft Excel to compute and convey information; in the second part of the course, students will use calculators to estimate probabilities, perform statistical functions, and inform decisions.
Early ratings
5.0 out of 5 stars5.0from 1
Ratings across the web
3.6 out of 5 stars3.6from 197 ratings
Department
Management Quantitative Method

What students say

5.0 out of 5 starsSpring 2024Would take again

Do not fall behind on work in this class because that will screw you. If you stay on top of things this should be an easy A

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Professors who have taught MGQ 201

  • Adam Wilk
  • Dianna Cichocki
  • Laura Amo
  • Raghvendra Singh
  • Raymond Orrange
  • Scott Laing

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