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Important MCQs on Collection, Classification and Presentation of Data-2 Video Lecture | Statistics for SSC CGL
FAQs on Important MCQs on Collection, Classification and Presentation of Data-2 Video Lecture - Statistics for SSC CGL
| 1. How is data collected in statistical analysis? |  |
Ans. Data can be collected through various methods such as surveys, experiments, observations, and existing records. This data is then organized and analyzed to draw meaningful conclusions.
| 2. What is the importance of classifying data in statistical analysis? | |
Ans. Classifying data helps in organizing information into categories or groups, making it easier to analyze and interpret. It allows for a better understanding of patterns and trends within the data.
| 3. What are the different ways to present data in statistical analysis? | |
Ans. Data can be presented using tables, charts, graphs, and diagrams. Each method has its own advantages and is chosen based on the type of data and the purpose of the analysis.
| 4. How can outliers affect data analysis results? | |
Ans. Outliers are data points that significantly differ from the rest of the data. They can skew the results of data analysis, leading to inaccurate conclusions. It is important to identify and handle outliers appropriately to ensure the validity of the analysis.
| 5. What is the role of data visualization in statistical analysis? | |
Ans. Data visualization involves representing data in a visual format such as charts or graphs. It helps in identifying patterns, trends, and relationships within the data that may not be apparent in raw numbers. Visualizing data can make complex information more understandable and facilitate better decision-making.
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