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There are several ways of classifying of data in statistics. One is by the method of obtaining the data: if you collect the data yourself then they are primary but if you compile them from some existing source, then they are secondary.

Another system of classification is by the nature of the variable: dependent or independent.

A third system depends on whether the data are continuous or discrete. Continuous data can take all possible real values withing a domain; discrete data can take only certain (usually integer) values.

A fourth system is by the nature of the values that the data can take:

Nominal (or qualitative), where there is no inherent ordering of the data: for example, make of car or colour of hair.Ordinal. Such data have an inherent order to them but the differences between the categories are not related. For example, {Agree strongly, agree, disagree, disagree strongly}.Interval scale. On the ordinal scale the difference between two values is clearly defined. However, the zero value is arbitrary, for example in the Celsius or Fahrenheit scales. 10 degrees is not twice as warm as 5 degrees.Ratio scale. On this scale the data are measured on an absolute scale - the zero is not arbitrary.in

Q: What are the types of data I statistics?

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ways of presenting data in statistics

All statistics are data because all statistics are formed of numbers and numbers are a type of data (numrical). But not all data is statistics because not all data is numbers, it can also be words, pictures etc. It's like saying all apples are fruit but all fruit are not apples.

how is data collected and used for the purpose of national statistics

There are two types of statistics. One is called descriptive statistics and the other is inferential statistics. Descriptive statistics is when you use numbers. Inferential statistics is when you draw conclusions or make predictions.

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Some common types of secondary data include statistics, company reports, academic papers, government publications, and market research reports. These sources are typically collected by other individuals or organizations and can be used to support research, analysis, or decision-making.

ways of presenting data in statistics

In statistics, cases are comprised of the data that is being studies. The cases in statistics can be updated frequently as the data changes.

two types is: 1. Descriptive statistics. 2. Inferential statistics.

Descriptive statistics is a summary of data. Inferential statistics try to reach conclusion that extend beyond the immediate data alone.

All statistics are data because all statistics are formed of numbers and numbers are a type of data (numrical). But not all data is statistics because not all data is numbers, it can also be words, pictures etc. It's like saying all apples are fruit but all fruit are not apples.

The answer is generally no. I note there is no hard and fast definition of the field of statistics. The definition of the field or discipline of statistics is not to reduce the number of values in the set of collected data. An objective of statistics is to characterize or add meaning to the collected data, through calculated values of the data. In this sense, statistics summarizes the data.

Descriptive data is data that is used to summarize or describe samples of data. Descriptive data is different from inferential statistics because inferential statistics uses data to learn from it.

how is data collected and used for the purpose of national statistics

Data is considered to be raw facts or statistics. Data is raw and unorganized facts. Raw data is also called primary data.

descriptive statistics-quantitavely describe the main features of a collection of data. Descriptive statistics are distinguished from inferential.Statistics(or inductive statistics),in that descriptive statistics aim to summarize a data set,rather than use the data to learn about the population that the data are thought to represent.

descriptive statistics-quantitavely describe the main features of a collection of data. Descriptive statistics are distinguished from inferential.Statistics(or inductive statistics),in that descriptive statistics aim to summarize a data set,rather than use the data to learn about the population that the data are thought to represent.