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1. What is the primary purpose of collecting data?
2. Which of the following is an example of structured data?
3. What does metadata represent?
4. Which of the following is an outlier?
5. What statistical technique is most affected by outliers?
6. In structured data, what is an attribute?
7. Which of the following is not a measure of central tendency?
8. What is the correct order of the data processing cycle?
9. Which of the following is used to summarize data for easy understanding?
10. What is the standard deviation used for?
11. What is the mode of the dataset [34, 34, 27, 28, 27, 34, 34]?
12. Which of the following storage devices is volatile?
13. Unstructured data can include all except:
14. Which of the following tasks represents data collection?
15. Which tool is suggested for data processing in future chapters?
16. Which statistical technique is suitable for finding income disparity?
17. What does the median represent in a dataset?
18. Which of the following best describes unstructured data?
19. What is the formula for standard deviation (σ) as per the chapter?
20. Assertion (A): Raw data by itself is usually not meaningful for decision-making. Reason (R): Raw data can be interpreted directly without the need for processing.
21. Assertion (A): Structured data is easier to manage and analyze using spreadsheet or database soft- ware. Reason (R): Structured data is organized in a well-defined format, typically using rows and columns where each column represents a data attribute.
22. Assertion (A): Metadata helps in identifying and organizing unstructured data. Reason (R): Metadata provides information about data, such as file type, size, resolution, and content description.
23. Assertion (A): Median is a preferred measure of central tendency when data contains outliers. Reason (R): Median is calculated by averaging all the data values in the dataset.
24. Assertion (A): Standard deviation gives a more accurate measure of variability than range. Reason (R): Standard deviation considers the deviation of each data point from the mean, while range considers only the highest and lowest values.
25. Assertion (A): Dynamic pricing models in cab and airline services rely on real-time data analysis. Reason (R): These pricing models are based on historical sales reports compiled over a period of several months.
26. Assertion (A): Unstructured data cannot be processed efficiently using traditional database tools. Reason (R): Traditional database tools are designed to work with structured data that has a fixed schema, like tables with defined columns.
27. Assertion (A): Range and standard deviation are both used to measure how spread out data values are from each other. Reason (R): Range and standard deviation are used to find the most frequently occurring value in a dataset.
28. Assertion (A): Data entry is an essential step in the data processing cycle. Reason (R): Data entry is the same as the process of collecting real-world data from various sources.
29. Assertion (A): Mode can be calculated for both numeric and non-numeric data values. Reason (R): Mode identifies the value(s) that occur most frequently in the dataset.

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