The mean is 12.4
The mean will increase from 14 to 20. The median will increase from 12 to 15.
15
since there are zeros the total amount of data given is different. for example: 14+16=30 30/2= 15 with zeros: 14+16+0=30 30/3=10
To find the missing number in a data set with a mean of 15, you need to know the total number of values (n) in the data set and the sum of the existing numbers. The mean is calculated as the sum of all values divided by n. If you have the sum of the existing numbers, you can rearrange the formula: missing number = (mean × n) - sum of existing numbers. Without additional information, the exact missing number cannot be determined.
11
The mean is 12.4
The mean will increase from 14 to 20. The median will increase from 12 to 15.
a data set in this case can be any collection of numbers you choose. Say we define Set A = {1,2,3,4,5} The Median for Set A is 3. The mean is the sum of the numbers divided by 5 in this case. 15/5 = 3 is the mean of Set A.
15
9
since there are zeros the total amount of data given is different. for example: 14+16=30 30/2= 15 with zeros: 14+16+0=30 30/3=10
9 15 15 15 16 (five data) Range = 16 - 9 = 7 Mean = (9 + 15 + 15 + 15 + 16)/5 = 70/5 = 14 So we have: (9 - 14)2 = (-5)2 = 25 (the square of the difference of data value and the mean value) (15 - 14)2 = 12 = 1, 3(1) = 3 (16 - 14)2 = 22 = 4, the sum is 32 The standard deviation = √(32/5) ≈ 2.5
6.
To find the missing number in a data set with a mean of 15, you need to know the total number of values (n) in the data set and the sum of the existing numbers. The mean is calculated as the sum of all values divided by n. If you have the sum of the existing numbers, you can rearrange the formula: missing number = (mean × n) - sum of existing numbers. Without additional information, the exact missing number cannot be determined.
(15 + 19)/2 = 17
Mean = (12+14+25+10+25+15+11)/7 = 112/7 = 16