Chapter 1: Data – Its Source and Compilation
Geography - Practical Work in Geography • Class 12
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Chapter Analysis
Intermediate19 pages • EnglishQuick Summary
The chapter explains what data is, its types, and the importance of data in geographical studies. It covers the methods of data collection, sources of primary and secondary data, and discusses the presentation and processing of data. Examples of frequency distribution, cumulative frequencies, and methods like the Ogive are provided to illustrate data analysis techniques.
Key Topics
- •Definition and Types of Data
- •Primary and Secondary Data Sources
- •Methods of Data Collection
- •Frequency Distribution and Polygons
- •Cumulative Frequencies
- •Tabulation and Classification of Data
- •Statistical Fallacies
- •Data Presentation Techniques
Learning Objectives
- ✓Understand the concept and significance of data in geography.
- ✓Differentiate between primary and secondary data.
- ✓Learn various data collection methods and their applications.
- ✓Understand statistical tools like frequency distributions and Ogives.
- ✓Develop skills in data presentation and interpretation.
- ✓Recognize and avoid common statistical fallacies.
Questions in Chapter
A number or character which represents measurement is called.
Answer: Data
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Differentiate between data and information.
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Discuss the national and international agencies where from secondary data may be collected.
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Additional Practice Questions
What is the difference between primary and secondary data?
mediumAnswer: Primary data is collected directly from first-hand sources by means of observations, surveys, or experiments specifically for the research in question. Secondary data is collected from previously collected data by other sources like government publications, journals, etc.
Explain the importance of tabulation in data processing.
mediumAnswer: Tabulation helps organize data systematically in rows and columns, making it easier to understand, compare, and analyze. It facilitates a clear presentation, which aids in drawing logical conclusions from the data.
Describe how an Ogive curve is constructed.
hardAnswer: An Ogive is constructed by plotting cumulative frequencies on a graph. If using the 'less than' method, cumulative frequencies are plotted against the change in the upper class boundary. For the 'more than' method, cumulative frequencies are plotted against the lower class boundaries.
Why is statistical fallacy dangerous in data analysis?
hardAnswer: Statistical fallacy, like using averages blindly, can lead to incorrect interpretations and conclusions, as it may disregard significant variations or outliers in the data that could alter the understanding of the actual situation.
What is frequency distribution and why is it useful?
easyAnswer: Frequency distribution is a summary of how often different scores occur within a sample of scores. It is useful because it provides a clear picture of how data values are distributed and where they cluster.