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Discrete and Continuous Video Lecture | Statistics for Economics - Class XI - Commerce

51 videos|41 docs|12 tests

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Video Timeline
Video Timeline
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00:10 Discrete & Continuous Series
03:49 Construction of Discrete Frequency Distribution
04:58 Discrete Frequency Distribution ​
05:50 Construction of Continuous Frequency Distribution
07:57 Class Intervals
10:21 Principles of Grouping
11:57 Simple Series
12:39 Cumulative Series
13:13 Illustration (Examples) ​
16:33 Bi-variate Frequency Distribution
More

FAQs on Discrete and Continuous Video Lecture - Statistics for Economics - Class XI - Commerce

1. What is the difference between discrete and continuous data?
Ans. Discrete data refers to information that can only take on specific values, usually whole numbers, and has distinct categories. On the other hand, continuous data can take on any value within a certain range and is often measured on a scale.
2. How can we identify if a variable is discrete or continuous?
Ans. To determine if a variable is discrete or continuous, we need to examine the nature of the data it represents. If the variable represents distinct categories or can only take on specific values, it is likely to be discrete. If the variable can take on any value within a range or is measured on a scale, it is likely to be continuous.
3. Give an example of discrete data and explain why it is discrete.
Ans. An example of discrete data is the number of siblings a person has. This is discrete because it can only take on whole numbers (0, 1, 2, etc.) and represents distinct categories (number of siblings). It cannot take on fractions or decimals, making it discrete rather than continuous.
4. Provide an example of continuous data and explain why it is continuous.
Ans. An example of continuous data is the height of individuals. This is continuous because it can take on any value within a certain range (e.g., 150 cm, 153.5 cm, 158 cm, etc.) and is measured on a scale. Heights can have decimal values, allowing for an infinite number of possible values, making it continuous.
5. Can data be both discrete and continuous? Explain.
Ans. No, data cannot be both discrete and continuous. Discrete data represents distinct categories and has specific values, while continuous data can take on any value within a range. These two types of data are mutually exclusive and cannot coexist for the same variable.
51 videos|41 docs|12 tests
Video Timeline
Video Timeline
arrow
00:10 Discrete & Continuous Series
03:49 Construction of Discrete Frequency Distribution
04:58 Discrete Frequency Distribution ​
05:50 Construction of Continuous Frequency Distribution
07:57 Class Intervals
10:21 Principles of Grouping
11:57 Simple Series
12:39 Cumulative Series
13:13 Illustration (Examples) ​
16:33 Bi-variate Frequency Distribution
More
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