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प्रश्न
Data represented through arithmetic line graph help in understanding ______
पर्याय
long-term trend
cyclicity in data
seasonality in data
all the above
उत्तर
Data represented through arithmetic line graphs help in understanding long-term trends.
Explanation:
Data represented through an arithmetic line graph (or time-series graph) helps in understanding the long-term trend and periodicity.
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संबंधित प्रश्न
The width of rectangles in a histogram should essentially be equal.
Histogram can only be formed with the continuous classification of data.
Histogram and column diagram is the same method of presentation of data.
The mode of a frequency distribution can be known graphically with the help of a histogram.
The median of a frequency distribution cannot be known from the ogives.
Suppose you want to emphasize the increase in the share of urban non-workers and lower level of urbanization in India as shown in the Census of India, 2001. How would you do it in the tabular form?
How does the procedure of drawing a histogram differ when class intervals are unequal in comparison to equal class intervals in a frequency table?
The Indian Sugar Mills Association reported that ‘Sugar production during the first fortnight of December 2001 was about 3,87,000 tonnes, as against 3,78,000 tonnes during the same fortnight last year (2000). The off-take of sugar from factories during the first fortnight of December 2001 was 2,83,000 tonnes for internal consumption and 41,000 tonnes for exports as against 1,54,000 tonnes for internal consumption and nil for exports during the same fortnight last season.’
Suppose you were to present these data in a diagrammatic form which of the diagrams would you use and why?
The Indian Sugar Mills Association reported that ‘Sugar production during the first fortnight of December 2001 was about 3,87,000 tonnes, as against 3,78,000 tonnes during the same fortnight last year (2000). The off-take of sugar from factories during the first fortnight of December 2001 was 2,83,000 tonnes for internal consumption and 41,000 tonnes for exports as against 1,54,000 tonnes for internal consumption and nil for exports during the same fortnight last season.’
Present these data diagrammatically.
