Information is not sufficient to find mean deviation and standard 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?
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.
When using the mean: the variance or standard deviation. When using the median: the range or inter-quartile range.
There are many:Range,Inter-quartile range,Percentile rangesMean absolute deviation from the mean or medianVarianceStandard deviationStandardised 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?
mean deviation =(4/5)quartile deviation
yes
It is not possible to answer without any information on the spread (range, inter-quartile range, mean absolute deviation, standard deviation or variance).
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.
Standard error, standard deviation, variance, range, inter-quartile range as well as measures based on other percentiles.
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.
When using the mean: the variance or standard deviation. When using the median: the range or inter-quartile range.
It is mean + 2*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.
There is no such thing. Maybe your professor meant , Standard Deviation, The Mean. (2 different things.)