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What is the mean absolute deviation for 12 9 12 13 15 8 11 14 10 and 16?
The mean absolute deviation is 2
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 are 5 numbers with a mean of 12 and a range of 3?
(10, 12, 12, 13, 13)
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.
The probability that a radish seed will germinate is 0.7. A gardener plants seeds in batches of 13. What is the standard deviation for the number of seeds germinating in each batch?
The answer is 9.1
What is the standard deviation for 11 13 15 16 20 21?
3.898717738 is the standard deviation.
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
What is the answer for calculate the mean and standard deviation for the subset of Fibonacci series given here 8 13 21 34 55 89 144?
49.30179172 is the standard deviation and 52 is the mean.
What is the mean absolute deviation for 12 9 12 13 15 8 11 14 10 and 16?
The mean absolute deviation is 2
What is the standard deviation of these set of numbers 6 7 7 12 12 11 9 9 8 4 6 13 14?
For 6 7 7 12 12 11 9 9 8 4 6 13 14: σ=3.0947
What is the standard deviation of the data set 5 7 9 11 13?
It is approx 2.828
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 are 5 numbers with a mean of 12 and a range of 3?
(10, 12, 12, 13, 13)
What set of 5 pieces has a mean of 12 and a range of 3?
(10, 12, 12, 13, 13)
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 are standard carpet widths?
13 ft ......... Standard Width in Rolls is 12, 13, and finally 15 foot. 12 is the most common, 15 second and finally 13 foot widths.
The average height of flowering cherry trees in a nursey is 11ft If the heights are normally distributed with a standard deviation of 1.6ft find the probability that a tree is less than 13 ft?
mean = 11ftstandard deviation = 1.6ftx=13z= 13-11 = 1.251.6P(0
