Free Descriptive Statistics MCQs with Answers

• A. 50
• B. 70
• C. 50/20
• D. 50-20=30

Explanation: Adding the same constant to every observation shifts the distribution without changing its spread.

• A. Mean
• B. Median
• C. Mode
• D. G.M.

Explanation: Standard deviation is conventionally calculated as the square root of the mean squared deviations from the arithmetic mean.

• A. A.M.
• B. Median
• C. Mode
• D. G.M.

Explanation: The arithmetic mean minimizes the sum of squared deviations because the cross-product term vanishes when deviations are taken from the…

• A. Identical
• B. Different
• C. Zero
• D. None of theseDownload Reference Apps

Explanation: In a skewed distribution, the mean, median, and mode generally do not coincide, although their relative positions indicate the direction…

• A. 49.45%
• B. 95.45%
• C. 68.27%
• D. 99.73%

Explanation: For a normal distribution, the interval from the mean minus one standard deviation to the mean plus one standard deviation contains about…

• A. Multiplied
• B. Variance
• C. Change
• D. Independent

Explanation: Changing the origin by adding or subtracting a constant does not change deviations from the centre, so neither variance nor standard…

• A. Two extreme class boundaries
• B. Two extreme class frequency
• C. Two extreme class limits
• D. None of these

Explanation: For grouped data, the range is estimated as the upper boundary of the highest class minus the lower boundary of the lowest class.

• A. Rowely
• B. Lack
• C. Karl Person
• D. Mode

Explanation: Karl Pearson introduced a widely used relative measure of skewness, calculated from the relationship among the mean, mode and standard…

• A. Range
• B. variance
• C. Minimum
• D. Dispersion

Explanation: Dispersion describes the extent to which observations spread around a central value.

• A. 0
• B. 5
• C. 25
• D. None of these

Explanation: Range equals the largest observation minus the smallest observation. Since both are 5, the range is 5 − 5 = 0.

• A. +vely
• B. Skewness
• C. Negatively
• D. zero

Explanation: When the arithmetic mean exceeds the mode, the distribution is conventionally positively skewed, with a longer tail toward larger values.

• A. Positive
• B. Greater
• C. Less than
• D. Coincide

Explanation: In a perfectly symmetrical, unimodal distribution, the centre is the same whether measured by mean, median or mode.

• A. Independent
• B. Associated
• C. Dis-associated
• D. None of these

Explanation: The expected frequency under independence is (A)(B)/n. If the observed joint frequency (AB) is greater than this expected value, the…

• A. 3
• B. (2)
• C. 1
• D. D

Explanation: The joint frequency (A B C) involves three attributes together, so it is a frequency of order 3.

• A. Less than observed
• B. Greater than observed
• C. Equal to observed
• D. None of these

Explanation: When the observed joint frequency exceeds the expected frequency under independence, the attributes show positive association.

• A. Disassociation
• B. In consistent
• C. Associated
• D. None of these

Explanation: Attributes are called associated when they show a relationship or occur together more or less often than expected under independence.

• A. Constant
• B. Discreade
• C. Variable
• D. Continuous

Explanation: Richness describes a qualitative attribute or degree of a quality, rather than a numerical variable in this classification.

• A. γyx
• B. -γyx
• C. γx
• D. γo2

Explanation: The coefficient of association is symmetric with respect to the two attributes, so interchanging X and Y does not change it.

• A. Random table
• B. Contingency table
• C. Dichotomy table
• D. Chi-square table

Explanation: A contingency table classifies observations according to two attributes and displays their joint frequencies.

• A. Continuous data
• B. Random
• C. Discrete data
• D. Non of these

Explanation: Time can take fractional values such as 39.6 seconds or 40.25 seconds, so race time is continuous data rather than discrete data.