Classifications of data
A. According to Nature
1. Quantitative data- information obtained from numeral variables(e.g. age, bills, etc)
2.Qualitative Data- information obtained from variables in the form of categories, characteristics names or labels or alphanumeric variables (e.g. birthdays, gender etc.)
B. According to Source
1. Primary data- first- hand information (e.g. autobiography, financial statement)
2. Secondary data- second-hand information (e.g. biography, weather forecast from news papers)
C. According to Measurement
1. Discrete data- countable numerical observation.
-Whole numbers only
- has an equal whole number interval
- obtained through counting(e.g. corporate stocks, etc.)
2. Continuous data-measurable observations.
-decimals or fractions
-obtained through measuring(e.g. bank deposits, volume of liquid etc.)
D. According to Arrangement
1. Ungrouped data- raw data
- no specific arrangement
2. Grouped Data - organized set of data
- at least 2 groups involved
-arranged
ways of presenting data in statistics
Discrete and continuous.
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
Length and weight, for example.
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.
Quantitative data.
Discrete and continuous.
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.
A table constructed for statistical purposes needs to be clearly defined. There should be definitive classifications along the x axis with clearly defined data segments along the y axis.
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.
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.
Length and weight, for example.
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.