DATABASE FUNDAMENTALS
DATA WAREHOUSING AND DATA MINING
Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Increase
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Decrease
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None of the above
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None of the above
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Detailed explanation-1: -The mean of the dataset would always change if we change any value of the data set.
Detailed explanation-2: -High correlation implies that after exercise the test scores are high. Correlation does not imply causation. Correlation measures the strength of linear relationship between amount of exercise and test scores.
Detailed explanation-3: -Because the mean is based on every score in the set of scores, changing a score will also change the mean. Similarly, adding or removing scores will also almost always change the mean, unless the score that is added or remove is exactly equal to the mean.
Detailed explanation-4: -In Statistics, there are three Measures of Central Tendency: Mean, Median and Mode. Mean is defined as the average value of a dataset.