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When the data are classified in respect of successive time points, they are known as_______.
- a)Chronological data
- b)Geographical data
- c)Ordinal data
- d)Cordinal data
Correct answer is option 'A'. Can you explain this answer?
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When the data are classified in respect of successive time points, the...
Chronological Data in Statistics
Definition:
Chronological data is a type of data that is organized in order of time or date. It is a series of data points collected at regular intervals over time.
Example:
Stock prices over a period of time, temperature readings throughout a day, or annual sales data are all examples of chronological data.
Importance:
Chronological data is important in analyzing trends over time. It helps in identifying patterns, forecasting future trends, and making informed decisions.
Classification:
Chronological data can be classified into two types:
1. Longitudinal Data: This type of data involves collecting information on the same set of variables over a period of time. For example, tracking the progress of a group of students over their academic career.
2. Time Series Data: This type of data involves collecting information on a single variable at regular intervals over time. For example, tracking the stock prices of a company over a period of time.
Conclusion:
In conclusion, chronological data is a type of data that is organized in order of time or date. It is important in analyzing trends over time and can be classified into longitudinal data and time series data.
Definition:
Chronological data is a type of data that is organized in order of time or date. It is a series of data points collected at regular intervals over time.
Example:
Stock prices over a period of time, temperature readings throughout a day, or annual sales data are all examples of chronological data.
Importance:
Chronological data is important in analyzing trends over time. It helps in identifying patterns, forecasting future trends, and making informed decisions.
Classification:
Chronological data can be classified into two types:
1. Longitudinal Data: This type of data involves collecting information on the same set of variables over a period of time. For example, tracking the progress of a group of students over their academic career.
2. Time Series Data: This type of data involves collecting information on a single variable at regular intervals over time. For example, tracking the stock prices of a company over a period of time.
Conclusion:
In conclusion, chronological data is a type of data that is organized in order of time or date. It is important in analyzing trends over time and can be classified into longitudinal data and time series data.
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When the data are classified in respect of successive time points, the...
When we arrange any data in the time basis then it is known as "CHRONOLOGICAL DATA".
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When the data are classified in respect of successive time points, they are known as_______.a)Chronological datab)Geographical datac)Ordinal datad)Cordinal dataCorrect answer is option 'A'. Can you explain this answer?
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