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What is the standard deviation of the data set 5 7 9 11 13?
It is approx 2.828
What is th mean absolute deviation 10 7 13 10 8?
The absolute deviation of 10, 7, 13, 10, 8 is 9.6.
What is the mode for data set 11 12 13?
The mode is the data set element(s) that is(are) repeated the most. If every data set element occurs the same number of times, there is no mode. As there is only one occurrence of each data set element in {11, 12, 13} there is no mode. If your data set read {11, 12, 12, 13, 13, 12} your mode would be 12. If your data set read {11, 12, 12, 13, 13} your modes would be 12 & 13.
What is the Calculated Standard Deviation In The Following Data 13 12 9 15 11 16 17 8 12 7 12?
It is 3.045
If the mean of a set of 12 numbers is 13 then the sum of the number is?
156
What is the standard deviation of the data set 5 7 9 11 13?
It is approx 2.828
What is the purpose of finding the standard deviation of a data set?
The purpose of obtaining the standard deviation is to measure the dispersion data has from the mean. Data sets can be widely dispersed, or narrowly dispersed. The standard deviation measures the degree of dispersion. Each standard deviation has a percentage probability that a single datum will fall within that distance from the mean. One standard deviation of a normal distribution contains 66.67% of all data in a particular data set. Therefore, any single datum in the data has a 66.67% chance of falling within one standard deviation from the mean. 95% of all data in the data set will fall within two standard deviations of the mean. So, how does this help us in the real world? Well, I will use the world of finance/investments to illustrate real world application. In finance, we use the standard deviation and variance to measure risk of a particular investment. Assume the mean is 15%. That would indicate that we expect to earn a 15% return on an investment. However, we never earn what we expect, so we use the standard deviation to measure the likelihood the expected return will fall away from that expected return (or mean). If the standard deviation is 2%, we have a 66.67% chance the return will actually be between 13% and 17%. We expect a 95% chance that the return on the investment will yield an 11% to 19% return. The larger the standard deviation, the greater the risk involved with a particular investment. That is a real world example of how we use the standard deviation to measure risk, and expected return on an investment.
What does it mean if the standard deviation is equal to the mean?
A large standard deviation indicates that the distribution is heavily weighted far from the mean. Take the following example: {1,1,1,1,1,19,19,19,19,19} Mean is 10 and StDev = 9.49 Now look at this data set: {5, 6, 7, 8, 9, 11, 12, 13, 14, 15} Mean is still 10, but StDev = 3.5
What does it mean when a data set of 10 measurements has a mean of 15 and a standard deviation of 0?
It means that all of the ten numbers are 15!Standard deviation tells you how spread out the data is from the mean value. Or in other words, it tells you how far the numbers in your data are away from the mean value.If the standard deviation is a high number, it means the data is largely spread out and that there are big differences in the data. The numbers in the data would be quite far from each other. For example, if you had data like: 8, 35, 13, 47, 22, 64, this would probably mean that you'll get a high standard deviation because each of the numbers are very spread out.On the other hand, if the standard deviation is small, it tells you that the numbers in the data are quite close together and that there is only a small difference between the numbers in the data. For example, if you had data like: 19, 25, 20, 22, 23, 18, this would probably mean that you'll get a low standard deviation because each of the numbers aren't that spread outIn the scenario you've given, the standard deviation is ZERO. This means that there is no spread or variation AT ALL with the numbers in your data. This means every single number in the data is the same.Since your mean is 15 and every number in your data is the same, that means that all the ten numbers in your data have to be 15!Hope that makes sense.Jamz159
If there are 13 values in a data set in order from smallest to largest what is the third quartile of the data set?
The mean of the 10th and 11th values
If there are 13 values in a data set in order from smallest to largest what is the first quartile of the data set?
The mean of the 3rd and 4th values
What is th mean absolute deviation 10 7 13 10 8?
The absolute deviation of 10, 7, 13, 10, 8 is 9.6.
What is the mean absolute deviation for 12 9 12 13 15 8 11 14 10 and 16?
The mean absolute deviation is 2
The mean is 10 What is the variance of the data set 4 9 9 13?
The variance is 13.5833
If the coefficient of determination for the data set is 0.75 and the SSE for the data set is 13 what is the SST for the data set?
It is 52.
What is the mode for data set 11 12 13?
The mode is the data set element(s) that is(are) repeated the most. If every data set element occurs the same number of times, there is no mode. As there is only one occurrence of each data set element in {11, 12, 13} there is no mode. If your data set read {11, 12, 12, 13, 13, 12} your mode would be 12. If your data set read {11, 12, 12, 13, 13} your modes would be 12 & 13.
What is the mean absolute deviation for 10 20 15 17 and 13?
It is 2.8
