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
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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.