CA Foundation Exam > CA Foundation Questions > Variance may be positive, negative or zero.a)...
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Variance may be positive, negative or zero.
- a)true
- b)false
- c)both
- d)none
Correct answer is option 'B'. Can you explain this answer?
Verified Answer
Variance may be positive, negative or zero.a)trueb)falsec)bothd)noneCo...
Variance measures how far a data set is spread out. The technical definition is “The average of the squared differences from the mean” but all it really does is to give you a very general idea of the spread of your data. A value of zero means that there is no variability; All the numbers in the data set are the same.
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Variance cannot be negative: The reason is that the way variance is calculated makes a negative result mathematically impossible.
Variance is the average squared deviation from the mean.
Most Upvoted Answer
Variance may be positive, negative or zero.a)trueb)falsec)bothd)noneCo...
Explanation:
Variance is always a non-negative value. It measures how far a set of numbers is spread out from their average value. Therefore, the correct answer is option B, false.
Below are the key points to consider:
- Variance is a measure of how spread out a set of data is.
- It is always a non-negative value.
- A variance of zero indicates that all the values in a set are identical.
- A positive variance indicates that the values in a set are spread out from their mean value.
- A negative variance is not possible as it implies that the values are closer together than their mean value, which contradicts the definition of variance.
To summarize, variance is always a non-negative value and can never be negative.
Variance is always a non-negative value. It measures how far a set of numbers is spread out from their average value. Therefore, the correct answer is option B, false.
Below are the key points to consider:
- Variance is a measure of how spread out a set of data is.
- It is always a non-negative value.
- A variance of zero indicates that all the values in a set are identical.
- A positive variance indicates that the values in a set are spread out from their mean value.
- A negative variance is not possible as it implies that the values are closer together than their mean value, which contradicts the definition of variance.
To summarize, variance is always a non-negative value and can never be negative.
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Community Answer
Variance may be positive, negative or zero.a)trueb)falsec)bothd)noneCo...
Variance: The square of the standard deviations is called variance.
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Variance may be positive, negative or zero.a)trueb)falsec)bothd)noneCorrect answer is option 'B'. Can you explain this answer?
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