SSC CGL Exam > SSC CGL Videos > SSC CGL Tier 2 - Study Material, Online Tests, Previous Year > Frequency polygon and frequency curve - Presentation of Data, Business Mathematics & Statistics
Frequency polygon and frequency curve - Presentation of Data, Business Mathematics & Statistics Video Lecture | SSC CGL Tier 2 - Study Material, Online Tests, Previous Year
FAQs on Frequency polygon and frequency curve - Presentation of Data, Business Mathematics & Statistics Video Lecture - SSC CGL Tier 2 - Study Material, Online Tests, Previous Year
| 1. What is a frequency polygon? |  |
Ans. A frequency polygon is a graphical representation of a frequency distribution. It is a line graph that shows the frequency of each data point or class interval on the horizontal axis and the corresponding frequencies on the vertical axis. The points on the graph are connected by straight lines to form a polygon.
| 2. How is a frequency polygon different from a histogram? | |
Ans. While both frequency polygons and histograms represent the frequency distribution of data, they differ in their graphical representation. A frequency polygon uses line segments to connect the points representing the frequencies, whereas a histogram uses bars to represent the frequencies. The choice between these two graphical representations depends on the nature of the data and the desired visual presentation.
| 3. What is a frequency curve? | |
Ans. A frequency curve, also known as a smooth curve or a cumulative frequency curve, is a graphical representation of a cumulative frequency distribution. It depicts the cumulative frequency of data points or class intervals on the horizontal axis and the corresponding cumulative frequencies on the vertical axis. The line connecting these points forms a smooth curve, providing insights into the overall distribution of the data.
| 4. How can frequency polygons and frequency curves be useful in data analysis? | |
Ans. Frequency polygons and frequency curves play a crucial role in data analysis as they provide visual representations of the distribution of data. By plotting the frequencies or cumulative frequencies, patterns, trends, and central tendencies of the data can be easily identified. These graphical representations help in understanding the shape, spread, and skewness of the data, allowing for more informed decision-making and analysis.
| 5. Can frequency polygons and frequency curves be used for qualitative data? | |
Ans. Yes, frequency polygons and frequency curves can be used for both qualitative and quantitative data. However, their interpretation may differ. For qualitative data, the frequency of each category or attribute is plotted on the horizontal axis, and the corresponding frequencies or cumulative frequencies are plotted on the vertical axis. The resulting polygon or curve provides insights into the distribution of the qualitative data, such as the most common categories or the spread of attributes across different groups.
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