MATH2785 (MATH2785)

University Of New Orleans

Here are the best resources to pass MATH2785 (MATH2785). Find MATH2785 (MATH2785) study guides, notes, assignments, and much more.

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Lecture 1 Lecture 1
  • Lecture 1

  • Summary • 1 pages • 2023
  • Available in package deal
  • summary; and brief, clear, and easy-to-understand examples main concepts: statistics, data, qualitative data, quantitative data, descriptive statistics, inferential statistics, population, sample, parameter,
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Lecture 2 Lecture 2
  • Lecture 2

  • Summary • 4 pages • 2023
  • Available in package deal
  • summary; and brief, clear, and easy-to-understand examples main concepts: Variables, Relative Frequency, Quantitative data, percentage, number of classes, class width, cumulative frequency, cumulative relative frequency, discrete data, continuous data, histogram...
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Lecture 3 Lecture 3
  • Lecture 3

  • Summary • 3 pages • 2023
  • Available in package deal
  • summary; and brief, clear, and easy-to-understand examples main concepts: Calculating mean, median, mode, weighted mean, pros and cos, distribution, skewed...
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Lecture 4 Lecture 4
  • Lecture 4

  • Summary • 4 pages • 2023
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  • summary; and brief, clear, and easy-to-understand examples main concepts: Calculating Sample/population Variance, standard deviation, z-score, distribution if bell-shaped, grouped data.
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Lecture 5 Lecture 5
  • Lecture 5

  • Summary • 1 pages • 2023
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  • summary; and brief, clear, and easy-to-understand examples main concepts: Computing Percentiles, five number summary, interquartile range, limits and Box-and-Whisker Plot
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Lecture 6 Lecture 6
  • Lecture 6

  • Summary • 1 pages • 2023
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  • summary; and brief, clear, and easy-to-understand examples main concepts: Calculating Classical Probability, Empirical Probability, Complement, and rules of probabilities.
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Lecture 7-8 Lecture 7-8
  • Lecture 7-8

  • Summary • 4 pages • 2023
  • Available in package deal
  • summary; and brief, clear, and easy-to-understand examples of main concepts: Calculating probability, intersection of events, union of events, addition rule, conditional probability, multiplication rule, independent or dependent events
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