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Which one of the following is correct if each of the values of the set of data increases by 12?
Question

Which one of the following is correct if each of the values of the set of data increases by 12?

A.

Increase the mean by 12

B.

Increase the standard deviation by 12

C.

Increase the coefficient of variation by 12

D.

No change in the value of the coefficient of variation

Correct option is A

When each value in a dataset is increased by a constant (here, 12), the following effects occur:

Mean Effect: The mean of a dataset is given by:

​If we add 12 to each value in the dataset, then:

Hence, the mean increases by 12.

Standard Deviation Effect: The standard deviation measures the dispersion of data points from the mean and is given by:​

Since each value increases by 12, the difference X- X̄ remains the same, so standard deviation does not change.

Coefficient of Variation (C.V.) Effect: The coefficient of variation is defined as:

Since the standard deviation remains unchanged, but the mean increases, the C.V. actually decreases, meaning option (3) is incorrect.​

No Change in C.V.: Since C.V. depends on the mean and standard deviation, and the mean has changed, the C.V. cannot remain the same. Thus, option (4) is incorrect.​

Information Booster:

  • Mean Shift Property: When a constant is added to each data point, the mean shifts by the same constant, while dispersion-related measures remain unchanged.
  • Effect on Variance & Standard Deviation: Both variance and standard deviation remain the same because the relative distances between data points do not change.
  • Effect on Median & Mode: The median and mode also increase by the same constant as the mean when a constant is added to all values.
  • Application in Statistics: This property is often used in data normalization and transformations, particularly in standardization techniques.

Additional Knowledge:

(2) Increase the standard deviation by 12. 

  • Standard deviation measures how spread out the data is from the mean. Since the difference Xi−XˉX_i - \bar{X}XiXˉ does not change, standard deviation remains unchanged.
  • Adding a constant shifts all data points by the same amount, keeping their relative differences the same.

(3) Increase the coefficient of variation by 12. 

  • Coefficient of variation (C.V.C.V.C.V.) is dependent on the ratio of standard deviation to mean.
  • Since standard deviation remains the same but the mean increases, C.V. actually decreases instead of increasing.

(4) No change in the value of the coefficient of variation. 

  • Since the mean increases while the standard deviation remains constant, the C.V. must change.
  • This contradicts the statement that there is no change, making this option incorrect.

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