{"id":6999,"date":"2021-10-22T14:37:42","date_gmt":"2021-10-22T09:07:42","guid":{"rendered":"https:\/\/mathemerize.com\/?p=6999"},"modified":"2021-10-25T09:21:49","modified_gmt":"2021-10-25T03:51:49","slug":"let-x_1-x_2-x_n-be-n-observations-such-that-sumx_i2-400-and-sumx_i-80-then-a-possible-value-of-among-the-following-is","status":"publish","type":"post","link":"https:\/\/mathemerize.com\/let-x_1-x_2-x_n-be-n-observations-such-that-sumx_i2-400-and-sumx_i-80-then-a-possible-value-of-among-the-following-is\/","title":{"rendered":"Let \\(x_1\\), \\(x_2\\), ….. , \\(x_n\\), be n observations such that \\(\\sum{x_i}^2\\) = 400 and \\(\\sum{x_i}\\) = 80. Then, a possible value of among the following is"},"content":{"rendered":"
Let \\(x_1\\), \\(x_2\\), ….. , \\(x_n\\), be n observations such that \\(\\sum{x_i}^2\\) = 400 and \\(\\sum{x_i}\\) = 80. Then, a possible value of among the following is<\/p>\n
(a) 12<\/p>\n
(b) 9<\/p>\n
(c) 18<\/p>\n
(d) 15<\/p>\n
Given \u00a0\\(\\sum{x_i}^2\\) = 400 and \\(\\sum{x_i}\\) = 80<\/p>\n
\\(\\because\\) \\(\\sigma^2\\) \\(\\ge\\) 0<\/p>\n
\\(\\therefore\\) \u00a0\\(\\sum{x_i}^2\\over n\\) – \\(({\\sum{x_i}\\over n})^2\\) \\(\\ge\\) 0<\/p>\n
\\(\\implies\\) \\(400\\over n\\) – \\(6400\\over n^2\\) \\(\\ge\\) 0<\/p>\n
\\(\\therefore\\)\u00a0 \u00a0n \\(\\ge\\) 16<\/p>\n
The mean and variance of a random variable X having a binomial distribution are 4 and 2 respectively, then P(X = 1) is<\/a><\/p>\n The median of a set of 9 distinct observations is 20.5. If each of the largest 4 observation of the set is increased by 2, then the median of the new is<\/a><\/p>\n A scientist is weighing each of 30 fishes. Their mean weight worked out is 30 g and a standard deviation of 2 g. Later, it was found that the measuring scale was misaligned and always under reported every fish weight by 2 g. The correct mean and standard deviation in gram of fishes are respectively.<\/a><\/p>\n In a series of 2n observations, half of them equals a and remaining half equal -a. If the standard deviation of the observation is 2, then |a| equal to<\/a><\/p>\n