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Explanation: Sampling is a critical step in data analysis, especially when dealing with large datasets. By selecting a smaller, representative subset of the population, analysts can perform computations faster and with fewer resources while retaining the integrity of the results. Effective sampling reduces data complexity and ensures that the sample mirrors the population's characteristics, enabling reliable statistical inferences. Techniques like simple random sampling or stratified sampling ensure diversity and minimize bias, maintaining the overall data quality for analysis. Option A: While sampling aids in efficient predictions, it does not involve using all available data. Sampling is about selecting a subset, not the entire dataset. Option C: Sampling does not eliminate the need for advanced techniques; it complements them by making analysis feasible for large datasets. Option D: Including all rare events is not guaranteed through sampling; specific strategies like oversampling are needed for rare-event analysis. Option E: Sampling reduces but does not eliminate bias. Proper technique selection minimizes it.
Four number pair have been given, out of which three are alike in a certain way and one is different. Select the one that is different. (NOTE: Operation...
Which of the following terms will replace the question mark (?) in the given series?
NQLM, OSMO, PUNQ, QWOS, ?
Find the odd one out.
How will "Never Out Keep" be coded in the given language?
In which direction is point D with respect to point H?
In a certain code language, COMMENCE is written as CEENMMCO. How will COMPUTER be written as in the same language?
In a certain code language, ‘COLD’ is written as ‘FLOA’, and ‘WARM’ is written as ‘ZXUJ’. How will ‘HEAT’ be written in that languag...
Which of the following will be coded "ZM RS ZO" in the given language?
Select the set of numbers that is similar to the following set.
(8, 95, 11)
Statement:
Some P are Q
Some R are S
No Q is R
Conclusion:
I. Some S are P
II. No P is S
...