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A student calculated mean and standard deviation of observations as and respectively. Later it was discovered that he had taken by mistake instead of , then new standard deviation is:
If , then the inequality that holds for all values of is:
If the mean deviation of the numbers from their mean is , then the value of is:
Suppose values taken by a random variable are such that , where denotes the value of in the case for , then:
The mean of first natural numbers is equal to , then is equal to:
Two variables have least square regression lines and , then correlation between and is:
If the mean of the squares of first natural numbers be 11, then is equal to:
If and are the means of two distributions such that \overline{X}_1 < \overline{X}_2, and is the mean of the combined distribution, then:
The mean deviation from the mean of the AP , is:
In a group of 200 students, the mean and the standard deviation of scores were found to be 40 and 15, respectively. Later on, it was found that the two scores 43 and 35 were misread as 34 and 53, respectively. The corrected mean of scores is:
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