Yes, a standard deviation of 435,000 is possible and indicates a high level of dispersion in a dataset. Standard deviation measures the amount of variation or spread in a set of values; thus, if the data points are widely spread apart from the mean, a large standard deviation can occur. This could be typical in datasets with large values, such as income or real estate prices.
To calculate the mean, coefficient of variation, and standard deviation in a program, you first need to collect the data into an appropriate data structure like an array or a list. Then, compute the mean by summing all the data points and dividing by the number of points. The standard deviation can be calculated by finding the square root of the average of the squared differences between each data point and the mean. Finally, the coefficient of variation is obtained by dividing the standard deviation by the mean and expressing it as a percentage.
None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0
The mean average deviation is the same as the mean deviation (or the average deviation) and they are, by definition, 0.
No. The mean deviation is 0. Always.
The minimum deviation in a spectrometer experiment occurs when the refracted ray is parallel to the base of the prism, resulting in the prism being in a state of minimum deviation.
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Yes, a standard deviation of 435,000 is possible and indicates a high level of dispersion in a dataset. Standard deviation measures the amount of variation or spread in a set of values; thus, if the data points are widely spread apart from the mean, a large standard deviation can occur. This could be typical in datasets with large values, such as income or real estate prices.
What is mean deviation and why is quartile deviation better than mean deviation?
Information is not sufficient to find mean deviation and standard deviation.
mean deviation =(4/5)quartile deviation
To calculate the mean, coefficient of variation, and standard deviation in a program, you first need to collect the data into an appropriate data structure like an array or a list. Then, compute the mean by summing all the data points and dividing by the number of points. The standard deviation can be calculated by finding the square root of the average of the squared differences between each data point and the mean. Finally, the coefficient of variation is obtained by dividing the standard deviation by the mean and expressing it as a percentage.
The mean average deviation is the same as the mean deviation (or the average deviation) and they are, by definition, 0.
None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0None.The mean of a single number is itself.Therefore deviation from the mean = 0Therefore absolute deviation = 0Therefore mean absolute deviation = 0
No. The average of the deviations, or mean deviation, will always be zero. The standard deviation is the average squared deviation which is usually non-zero.
No. The mean deviation is 0. Always.
Because the average deviation will always be zero.