Respuesta :
Answer:
Standard deviation ,mean ,regression,inferential statistics
Explanation:
Standard deviation is a measure of the amount of variation of a set readings
The techniques that are used for representing and evaluating statistics are:
"Descriptive statistical analysis, Inferential statistical analysis, Associational statistical analysis, Predictive analysis, Prescriptive analysis, Exploratory data analysis and Causal analysis"
What is Descriptive statistical analysis?
The simplest type of statistical analysis is known as descriptive statistics because it employs figures to characterize the properties of a data collection. It makes complex data sets easier to analyze by condensing them into smaller, simpler forms.
Brief descriptive coefficients, or descriptive statistics, are a way to quickly sum up a collection of information that may represent the full population or only a sample of it.
Measurements of central tendency or measures of variability are the two fundamental types of measures used in descriptive statistics (or spread)
This essentially includes descriptive statistics are typically nonparametric data and are not produced on the foundation of probability theory like inferential statistics are.
What is Inferential statistical analysis?
Based on data from a sample group inside a population, inferential statistical analysis is being used to infer or make conclusions about the broader population.
A statistician who utilizes analytical methods to make inferences about the larger population by analyzing samples drawn at random is said to be using inferential statistics. Sweeping generalisations about a group are what inferential statistics are designed to do.
By generating estimates and testing hypotheses, for instance, inferential statistical research insinuates characteristics of a population. The reported data set is thought to be a sample of a general population.
To learn more about Inferential statistical analysis here,
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