
“Standard Deviation and Coefficient of Dispersion”
Authored by Pratyushkant Tiwari
Mathematics
University
Used 2+ times

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10 questions
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1.
MULTIPLE CHOICE QUESTION
20 sec • 2 pts
What is the relationship between Standard Deviation and Variance ?
Standard Deviation is the square of the Variance
Standard Deviation is the half of the Variance
Standard Deviation is the double of the Variance
Standard Deviation is the square root of the Variance
Answer explanation
2.
MULTIPLE CHOICE QUESTION
1 min • 2 pts
Calculate the Standard Deviation of the following data set : 4,8,7,5 ?
8.5
√17
√8.5
4.25
Answer explanation
Use the formula for ungrouped data
3.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
If the standard deviation of a data set is 0, what can you conclude about the data?
The data set is empty
All the values in the data set are same
The data set contains at least one value as 0
The data set contains only one value
Answer explanation
The sum of the square of the mean difference will become 0 because the mean will be equal to all the data sets.
4.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
Calculate the Standard Deviation with the above given data :
3
√9
√3
√1.5
Answer explanation
Look at the formula of Standard Deviation for ungrouped data.
5.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
What does the Coefficient of Dispersion measures ?
The central value of the data set
The uniformity of data relative to median
The sum of all data points in the dataset
The maximum and minimum values of a dataset
Answer explanation
In the formula you can see the deviation of the datasets are calculated about median hence it calculates the uniformity.
6.
MULTIPLE CHOICE QUESTION
20 sec • 2 pts
The deviation of the datasets in the Coefficient of Dispersion is calculated about which of the following measure of central tendency ?
Regression
Skewness
Median
Kurtosis
Answer explanation
In the formula you can see the deviation of the datasets are calculated median.
7.
MULTIPLE CHOICE QUESTION
30 sec • 2 pts
A higher value of Coefficient of Dispersion indicates ?
Larger value of median
Higher uniformity in the dataset
Lower uniformity in the dataset
Smaller size of the dataset
Answer explanation
Higher values of Coefficient of Dispersion gives more deviation from the median that lower uniformity in the dataset
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