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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.
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A boat travels 30 km upstream and 45 km downstream in 6 hours. If the speed of the stream is 4 km/h and the boat’s speed in still water is 8 km/h, wha...
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A boat goes 6km an hour in still water, it takes thrice as much time to go the same distance against the current in comparison to the direction of the c...
A boat running downstream covers a distance of 48 km in 3 hrs and covering the same distance upstream in 12 hrs. What is the speed of a boat in still wa...
A boat goes 52 km in Downstream in 4 hours and takes 5 hours to complete a distance of 15 km in upstream. Find the speed of boat in still water.
A boat takes 7 hours to cover 266 km upstream and 9 hours to cover 468 km downstream. Find the time taken by the boat to cover 528 km upstream and 540 k...
The downstream speed of a boat is 6 km/hr more than its upstream speed and the ratio of the speed of the boat in still water to the speed of the stream ...