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What is the mean and standard deviation for the following Numbers 86 73 86 55 66?
Wiki User
∙ 6y ago
Mean = 73.2Standard deviation (population) = 11.92
Wiki User
∙ 6y ago
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4.43.63.84.54.84.1 mean and standard deviation?
For the numbers 4, 43, 63, 84, 54, 84 and 1, the standard deviation is 34.20943896 and the mean is 47.57142857.
What is the mean absolute deviation of this set of numbers 3 9 27 81?
mean | 30 median | 18 standard deviation | 35.496
What is the rang and mean absolute deviation for the following numbers 72 84 92 63 74?
The range and mean absolute deviation are: Range = 29 Mean absolute deviation = 8.8
Give an example of how standard deviation can be useful Also why is underestimating the standard deviation as in the case with the Range Rule Thumb a better method than overestimating?
to calculate the standard deviation you must put each number in order from the least to the gr east then you must find your mean after you find your mean you must subtract your mean from each of the data set numbers once you finishsubtracting the data set numbers you add them up and divide by the amount of numbers there are and you have found the standard deviation.
Can a standard deviation of 4.34 be correct?
Yes, a standard deviation of 4.34 can be correct. Standard deviation is a measure of dispersion or variability in a data set. It represents the average amount by which individual data points deviate from the mean. Therefore, a standard deviation of 4.34 simply indicates that there is some variability in the data, with data points on average deviating by 4.34 units from the mean.
What are the four numbers have the smallest possible standard deviation?
If all four numbers are the same, there is no standard deviation. The mean will be equal to all 4 numbers, resulting in a 0 standard deviation. Ex) 5,5,5,5
If the standard deviation decreases does the mean decrease?
Not necessarily. The standard deviation measures (in simplified terms) how different the numbers are from each other, while the mean is their average. If the standard deviation decreases, it means the numbers are closer to each other, it doesn't change how big the numbers are.
4.43.63.84.54.84.1 mean and standard deviation?
For the numbers 4, 43, 63, 84, 54, 84 and 1, the standard deviation is 34.20943896 and the mean is 47.57142857.
If quartile deviation is 24. find mean deviation and standard deviation?
Information is not sufficient to find mean deviation and standard deviation.
What set of seven numbers with a mean of 10 and a standard deviation of zero?
[10, 10, 10, 10, 10, 10, 10] has a mean of 10 and a standard deviation of zero.
What is the mean absolute deviation of this set of numbers 3 9 27 81?
mean | 30 median | 18 standard deviation | 35.496
What is deviation in statistics?
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.
What is the rang and mean absolute deviation for the following numbers 72 84 92 63 74?
The range and mean absolute deviation are: Range = 29 Mean absolute deviation = 8.8
A standard normal distribution has a mean of and standard deviation of?
Mean 0, standard deviation 1.
What is the mean and standard deviation for the standard normal curve?
Mean = 0 Standard Deviation = 1
Give an example of how standard deviation can be useful Also why is underestimating the standard deviation as in the case with the Range Rule Thumb a better method than overestimating?
to calculate the standard deviation you must put each number in order from the least to the gr east then you must find your mean after you find your mean you must subtract your mean from each of the data set numbers once you finishsubtracting the data set numbers you add them up and divide by the amount of numbers there are and you have found the standard deviation.
What is the difference between standard error of mean and standard deviation of means?
Standard error of the mean (SEM) and standard deviation of the mean is the same thing. However, standard deviation is not the same as the SEM. To obtain SEM from the standard deviation, divide the standard deviation by the square root of the sample size.
