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Newest Business Statistics summaries

Lecture 7-8 Lecture 7-8

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    Lecture 7-8

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    October 2023
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  • 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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(MATH 2785) Business Statistics First Exam Prep

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    (MATH 2785) Business Statistics First Exam Prep

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    October 2023
  • Statistics giving you a hard time? Chill out with this complete guide of Lecture 1-7 . I'll help you out with easy-to-understand and step-by-step examples of the main concepts.
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Lecture 1 Lecture 1

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    Lecture 1

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  • 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 5 Lecture 5

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    Lecture 5

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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 2 Lecture 2

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    Lecture 2

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  • 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 4 Lecture 4

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    Lecture 4

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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 3 Lecture 3

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    Lecture 3

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    3
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  • 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 6 Lecture 6

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    Lecture 6

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    October 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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