Describing and Illustrating Quantitative Data
Bibliographic Data
| ID | 23658071 |
|---|---|
| Authors | Tadayoshi Kaya (corresponding author) |
| Year | 2012 |
| Publication date | 2012-11-05 |
| Open Access | Yes |
| Type | CHAPTER |
| Venue | Encyclopedia of Applied Linguistics (SOURCE_BOOK) |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/9781405198431.wbeal0313 |
| OpenAlex | W1855075074 |
| ISBN | 9781405198431 |
| Language | EN |
| References cited | 6 |
Descriptive statistics, which aim to quantitatively summarize, organize, and visualize data sets, will be explained in detail in this entry. By first dealing with your data descriptively, you will be able to familiarize yourself with them, comprehend them more profoundly, and choose the right statistics to analyze them.
Data mining · Data science · Descriptive statistics · Information retrieval · Statistics · Summary statistics · Computer Science · Data Analysis with R · Data Visualization and Analytics · Mathematics · Statistics Education and Methodologies
| Highly cited | No |
|---|