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Information is not sufficient to find mean deviation and standard deviation.

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15y ago

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Related Questions

Why we calculate standard deviation and quartile deviation?

we calculate standard deviation to find the avg of the difference of all values from mean.,


What is mean deviation and why is quartile deviation better than mean deviation?

What is mean deviation and why is quartile deviation better than mean deviation?


Relation between quartile deviation and mean deviation?

mean deviation =(4/5)quartile deviation


Is the ratio of quartile deviation to mean deviation is raw?

yes


What does 2 mean when the means 0?

It is not possible to answer without any information on the spread (range, inter-quartile range, mean absolute deviation, standard deviation or variance).


How do you calculate the third quartile for a mean of 110 and a standard deviation of 15?

If this is the only information you have, the answer would be somewhere around 125. Usually, you would find the third quartile by first finding the median. Then find the median of all of the numbers between the median and the largest number, which is the third quartile.


What is a Measure of spread about the mean?

Standard error, standard deviation, variance, range, inter-quartile range as well as measures based on other percentiles.


What is the relation between mean deviation and quartile deviation?

Mean deviation and quartile deviation are both measures of dispersion in a dataset, but they differ in their calculations and focus. Mean deviation quantifies the average absolute deviations of data points from the mean, providing a comprehensive view of variability. In contrast, quartile deviation, also known as semi-interquartile range, specifically measures the spread of the middle 50% of the data by focusing on the first and third quartiles. While both serve to assess variability, mean deviation considers all data points, whereas quartile deviation emphasizes the central portion of the dataset.


Which measure of variation is appropriate when using the mean and which is appropriate when using the median?

When using the mean: the variance or standard deviation. When using the median: the range or inter-quartile range.


How do you find two standard deviations above a mean?

It is mean + 2*standard deviation.


How do you find the mean from raw score z score and standard deviation?

To find the mean from a raw score, z-score, and standard deviation, you can use the formula: ( \text{Raw Score} = \text{Mean} + (z \times \text{Standard Deviation}) ). Rearranging this gives you the mean: ( \text{Mean} = \text{Raw Score} - (z \times \text{Standard Deviation}) ). Simply substitute the values of the raw score, z-score, and standard deviation into this formula to calculate the mean.


How do you find deviation mean?

There is no such thing. Maybe your professor meant , Standard Deviation, The Mean. (2 different things.)