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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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3 ways of presenting data in statistics?
ways of presenting data in statistics
Two classifications of quantitative data?
Discrete and continuous.
Why it is said all statistics are data but all data are not 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?
how is data collected and used for the purpose of national statistics
What are two classifications of quantitative data?
Length and weight, for example.
3 ways of presenting data in statistics?
ways of presenting data in statistics
What are cases 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.
The classification and collection of data that are in the form of numbers is called?
Quantitative data.
What are the Principles of table construction in statistics?
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.
Two classifications of quantitative data?
Discrete and continuous.
What are descriptive statistics and inferential statistics?
Descriptive statistics is a summary of data. Inferential statistics try to reach conclusion that extend beyond the immediate data alone.
Why it is said all statistics are data but all data are not 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.
Statistics may be regarded as the study of the reduction of the data?
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.
What is descriptive data?
Descriptive data refers to information that summarizes the characteristics of a dataset, providing insights into its central tendencies, variability, and distribution. This type of data is used to describe the basic features of the data in a clear and understandable way, without making inferences or predictions.
How is data collected and used for the purpose of national statistics?
how is data collected and used for the purpose of national statistics
What are two classifications of quantitative data?
Length and weight, for example.
What is raw facts or statistics?
Data is considered to be raw facts or statistics. Data is raw and unorganized facts. Raw data is also called primary data.
