Univariate Point Estimation Task
A Univariate Point Estimation Task is a point estimation task that is a univariate prediction task.
- Example(s):
- Counter-Example(s):
- See: Univariate Data, Forecasting Task, Parameter Estimation.
References
2013
- http://en.wikipedia.org/wiki/Univariate_analysis
- Univariate analysis is the simplest form of quantitative (statistical) analysis.[1] The analysis is carried out with the description of a single variable and its attributes of the applicable unit of analysis. For example, if the variable age was the subject of the analysis, the researcher would look at how many subjects fall into a given age attribute categories.
Univariate analysis contrasts with bivariate analysis – the analysis of two variables simultaneously – or multivariate analysis – the analysis of multiple variables simultaneously. Univariate analysis is also used primarily for descriptive purposes, while bivariate and multivariate analysis are geared more towards explanatory purposes. Univariate analysis is commonly used in the first stages of research, in analyzing the data at hand, before being supplemented by more advance, inferential bivariate or multivariate analysis.[2][3]
A basic way of presenting univariate data is to create a frequency distribution of the individual cases, which involves presenting the number of attributes of the variable studied for each case observed in the sample. This can be done in a table format, with a bar chart or a similar form of graphical representation. A sample distribution table and a bar chart for an univariate analysis are presented below (the table shows the frequency distribution for a variable "age" and the bar chart, for a variable “incarceration rate"): - this is an edit of the previous as the chart is an example of bivariate, not univariate analysis - as stated above, bivariate analysis is that of two variables and there are 2 variables compared in this graph: incarceration and country.
- Univariate analysis is the simplest form of quantitative (statistical) analysis.[1] The analysis is carried out with the description of a single variable and its attributes of the applicable unit of analysis. For example, if the variable age was the subject of the analysis, the researcher would look at how many subjects fall into a given age attribute categories.
- ↑ Earl R. Babbie, The Practice of Social Research", 12th edition, Wadsworth Publishing, 2009, ISBN 0-495-59841-0, p. 426-433
- ↑ Harvey Russell Bernard, Research methods in anthropology: qualitative and quantitative approaches, Rowman Altamira, 2006, ISBN 0-7591-0869-2, p. 549
- ↑ A. Cooper, Tony J. Weekes, Data, models, and statistical analysis, Rowman & Littlefield, 1983, ISBN 0-389-20383-1, pp. 50–51