Mean = 163.4/2.54 = 64.33 inches approx, and sd = 6.7/2.54 = 2.64 inches, approx.
Divide each number by 2.54
There are one thousand thousandths of an inch to an inch. To convert from inches to thousandths of an inch, simply multiply the number of inches by 1,000.
There is a standard formula to convert from MMBTu to SM3. Multiply the mmbtu number by 26.37 to get the SM3 number.
multiply inches by 2.54 to get centimeters 1 in = 2.54 cm
A foot. To convert to metric, multiply the number of inches by 2.54.
3 inches = 7.62 centimetres Multiply the number of inches by 2.54 to get centimetres. Or 25.4 to get millimetres.
You need more than one number to calculate a standard deviation, so 9 does not have a standard deviation.
The smaller the standard deviation, the closer together the data is. A standard deviation of 0 tells you that every number is the same.
Standard deviations are measures of data distributions. Therefore, a single number cannot have meaningful standard deviation.
Standard deviation is a number and you would divide it in exactly the same way as you would divide any other number!
A single number, such as 478912, always has a standard deviation of 0.
A single number, such as 478912, always has a standard deviation of 0.
No. Standard deviation is the square root of a non-negative number (the variance) and as such has to be at least zero. Please see the related links for a definition of standard deviation and some examples.
Deviation, actually called "standard deviation" is, in a set of numbers, the average distance a number in that set is away from the mean, or average, number.
16.5 is 1 standard deviation from the mean. If you add the mean of 14 to the 1 standard deviation of 2.5, the result is 16.5.
The standard deviation of a single number, as in this question, is 0.
You cannot have a standard deviation for 1 number.
Let sigma = standard deviation. Standard error (of the sample mean) = sigma / square root of (n), where n is the sample size. Since you are dividing the standard deviation by a positive number greater than 1, the standard error is always smaller than the standard deviation.