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Questions and Answers
What type of classification is based on certain attributes?
What type of classification is based on certain attributes?
What is the term for the difference between the two-class limits?
What is the term for the difference between the two-class limits?
What is the primary focus of descriptive analysis?
What is the primary focus of descriptive analysis?
What is the term for the number of items that fall in a given class?
What is the term for the number of items that fall in a given class?
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What type of data is classified on the basis of class interval?
What type of data is classified on the basis of class interval?
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What is the purpose of data analysis?
What is the purpose of data analysis?
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What is the term for the upper and lower limits of a class interval?
What is the term for the upper and lower limits of a class interval?
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What is the term for the process of transforming raw data into a summary format?
What is the term for the process of transforming raw data into a summary format?
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What type of data refers to quantitative phenomena that can be measured?
What type of data refers to quantitative phenomena that can be measured?
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What is the term for the data that can be measured through some statistical unit?
What is the term for the data that can be measured through some statistical unit?
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Study Notes
Secondary Data
- Secondary data refers to data gathered earlier for another purpose, not specifically for the current research project.
Advantages of Secondary Data
- Can be found quickly and cheaply.
- Can provide comparable information to primary data, such as census reports and industry statistics.
- Allows for extended time and space range, making it suitable for research on past events.
- Can be used to gather data on distant places, such as foreign countries, at a lower cost.
Disadvantages of Secondary Data
- Information may not meet specific research needs, as it was collected for another purpose.
- Units of measurement may not match.
- Different time periods may be involved.
- Accuracy of the information may be difficult to assess.
- Data may be partially obsolete by the time it becomes available.
Characteristics of Secondary Data
- The researcher must be careful when using secondary data and ensure it meets the following characteristics:
- No further information is provided.
Methods of Data Collection and Design of Data Collection Forms
- Sources of data can be grouped into two types: primary and secondary.
- Primary data is developed or gathered by the researcher specifically for the research project.
- Secondary data has previously been gathered by someone else and/or for another purpose.
Classification of Data
- Data can be classified according to attributes or class intervals.
- Attributes refer to descriptive characteristics, such as gender or occupation.
- Class intervals refer to numerical characteristics, such as income or age, which can be measured through statistical units.
Data Analysis
- Data analysis involves transforming processed data to find patterns and relationships among data groups.
- Analysis involves computing certain indices or measures and searching for patterns or relationships among data groups.
- Analysis can be categorized into descriptive analysis and inferential analysis.
Descriptive Analysis
- Refers to the study of the distribution of one variable.
- Involves transforming raw data into a summary format to make it easy to understand and interpret.
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Description
Identify the characteristics of secondary data in research, including advantages and disadvantages. Learn about the benefits and drawbacks of using secondary data in business research.