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Set of numerical data?
statistics
What is the difference between numerical and non-numerical data?
Numerical data is numbers. Non-numerical data is anything else.
Numerical ways of expressing information are called?
Numerical ways of expressing information are called statistics.
is there any numerical data related to boiling eggs?
numerical statistics behind boiled-eggs
Numerical facts based on research conducted with a sample population are known as?
The answer is Statistics
Explain numerical statements of facts that are not statistics?
all statistics are numerical statement but all numerical statement s of are not statistics explain
Set of numerical data?
statistics
What is a collection of numerical information?
That is known as 'statistics'
What is the study of Numerical Facts called?
Statistics
What is the difference between numerical and non-numerical data?
Numerical data is numbers. Non-numerical data is anything else.
Numerical ways of expressing information are called?
Numerical ways of expressing information are called statistics.
is there any numerical data related to boiling eggs?
numerical statistics behind boiled-eggs
What is the numerical pieces of information called in math vocabulary?
Statistics
A word that means a collection or set of numerical information?
Statistics
What the difference between statistics as numerical facts and statistics as a discipline or field of study?
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.
What area of math involves describing and the evaluating numerical data?
Statistics
Distinguish between parameteric statistics and non - parameteric statistics?
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.
