Statistics as a numerical facts are data collected and organised numerically, whilst Statistic as a discipline or field of study which involves collecting, organizing, summarizing and presenting of data.
A statistic (as a numerical fact) is a value taken from a sample of a population. For example a summary of a political poll would produce many numerical statistics. Statistics as a discipline involves creating and carrying out sampling designs, knowing how to analyze data, creating mathematical models for different processes, predicting future results, and optimizing systems. That is why statistics can by applied to any other field of study, any time you have to research, prove, or improve something the discipline of statistics is very valuable.
What is the difference between statistics and parameter
Asymmetric is the opposite of symmetric
When referring to statistics, variable means that numbers change and can go up and down. If something is constant, numbers remain unchanged.
The simplest answer is that parametric statistics are based on numerical data from which descriptive statistics can be calculated, while non-parametric statistics are based on categorical data. Takes two example questions: 1) Do men live longer than women, and 2), are men or women more likely to be statisticians. In the first example, you can calculate the average life span of both men and women and then compare the two averages. This is a parametric test. But in the second, you cannot calculate an average between "man" and "woman" or between "statistician" or "non-statistician." As there is no numerical data to work with, this would be a non-parametric test. The difference is vitally important. Because inferential statistics require numerical data, it is possible to estimate how accurate a parametric test on a sample is compared to the relevant population. However, it is not possible to make this estimation with non-parametric statistics. So while non-parametric tests are still used in many studies, they are often regarded as less conclusive than parametric statistics. However, the ability to generalize sample results to a population is based on more than just inferential statistics. With careful adherence to accepted random sampling, sample size, and data collection conventions, non-parametric results can still be generalizable. It is just that the accuracy of that generalization can not be statistically verified.
A statistic (as a numerical fact) is a value taken from a sample of a population. For example a summary of a political poll would produce many numerical statistics. Statistics as a discipline involves creating and carrying out sampling designs, knowing how to analyze data, creating mathematical models for different processes, predicting future results, and optimizing systems. That is why statistics can by applied to any other field of study, any time you have to research, prove, or improve something the discipline of statistics is very valuable.
statistics means numerical facts systematically collected and statistic means, scientific matter or technique of statistical analysis.
A statistic is a number or a fraction or any form of numerical data. A fact is an accepted theory or idea that can be proven.
What is the difference between statistics and parameter
Numerical data is numbers. Non-numerical data is anything else.
algebric uses variables and numerical uses numbers
it has to have an x number in it.
The variable.
supervisory apritude is the superior responce of the way of your thougts numerical aptitude is the the knowledge of the numerical calculations
The variable.
A variable expression includes variables.
Numerical equations have only numbers and symbols, while algebraic equations have variables also.