The Get-It-Done Data Analysis: Perform a Statistical Analysis That Will Get Your Research Published
Chapter 1
- Publisher
- NOBLE GRAY PRESS
- Initial publish date
- Dec 2021
- Category
- Biostatistics, Statistics, Statistics, Statistics, General, Regression Analysis, Multivariate Analysis, Statistics, Statistics
- Recommended Age
- 18
- Recommended Grade
- 12
-
eBook
- ISBN
- 9781990070365
- Publish Date
- Dec 2021
- List Price
- $19.99
Classroom Resources
Where to buy it
Description
A dataset is a collection of information that you gather from a single, several or a large number of sources. When explaining or process or a phenomenon, you need a dataset to be able explain that process or phenomenon. In this chapter, I discuss the elements that comprise a good dataset; a dataset that will help you understand a process or a phenomenon.
About the authors
Contributor Notes
Dr. Edgar Guzman holds PhD in Water Sciences with specialization in Applied Statistics for Hydrology. Dr. Guzman has two decades of academic and business experience. For the past decade, he has been acting as a business consultant catering to the diverse Statistics consulting needs of academic and business clients. During this time, Dr. Guzman has consulted over a hundred clients in Canada, Europe, Asia, and Australia. The focus of his research is Applied Statistics in the medical and business fields. Dr. Guzman is the first author of a number of articles in peer-reviewed scientific journals in North America and is a reviewer in 6 North American peer-reviewed scientific journals.
Excerpt: The Get-It-Done Data Analysis: Perform a Statistical Analysis That Will Get Your Research Published: Chapter 1 (by (author) Edgar Guzman; by (photographer) Lana Guzman)
The basis of a good study is the information collected for the purpose of performing an analysis that will improve your understanding of the process or phenomenon studied. As such, you need to ensure that the information gathered is pertinent to the study. This means that not any information will be appropriate for the study.