Principles of managerial statistics and data science
"This book introduces the topics of Big Data, data analytics and data science and features the use of open source data. Among the statistical topics described in this book are: data visualization, descriptive measures, probability, probability distributions, the concept of mathematical expectat...
| Format: | eBook |
|---|---|
| Published: |
Hoboken, N.J.:
Wiley
2020.
Hoboken, N.J. : 2020. |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009849092406719 |
Table of Contents:
- Statistics suck; so why do I need to learn about it?
- Concepts in statistics
- Data visualization
- Descriptive statistics
- Introduction to probability
- Discrete random variables
- Continuous random variables
- Properties of sample statistics
- Interval estimation for one population parameter
- Hypothesis testing for one population
- Statistical inference to compare parameters from two populations
- Analysis of variance (ANOVA)
- Simple linear regression
- Multiple linear regression
- Inference on association of categorical variables
- Nonparametric testing
- Forecasting.
