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Introduction to Business Statistics

12 jour(s)

Objectifs

This course employs extensive use of data and statistical methods to support and improve organizational decision-making. Topics include data visualizations, descriptive statistics, probability distributions, sampling, confidence intervals, hypothesis testing, regression analysis, and the use of computer software for statistical applications. The primary focus will be on the flexibility of the analysis, and the ability to present the results in an intuitive and understandable manner for greater organizational impact. The ethical issues related to big data will also be discussed.

Contenu

Descriptive Statistics

  • Measures of central tendency (Mean, Median, Mode)
  • Mean of a Frequency Distribution, Weighted mean, Geometric Mean
  • Measures of variation (Variance and Standard Deviation)
  • Chebyshev’s Theorem, Empirical Rule, Z-Score

Probability

  • Probability vs. Odds; Law of Large Numbers, Complement Rule
  • Rule of Addition, Rule of Multiplication, Conditional Probability
  • Factorial Math, Combinations and Permutations

Discrete Probability Distributions

  • Expected value
  • The Binomial Distribution
  • The Poisson Distribution

The Normal Distribution

Hypothesis Testing, Estimates and Sample Sizes



Le contenu de ce descriptif de formation est de la seule responsabilité de son auteur, l'organisme de formation Jack Welch College of Business & Technology at Sacred Heart University Luxembourg.

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Caractéristiques
Niveau Avancé
Organisation Formation inter-entreprise
Langues de prestation
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