Probability and Statistics

Which measure describes the central tendency of a distribution?

• Variance

• Skewness

• Kurtosis

• Mean

What does variance measure in a distribution?

• Central tendency

• Dispersion

• Skewness

• Shape

What does skewness measure in a distribution?

• Central tendency

• Dispersion

• Symmetry

• Shape

Which distribution shape is associated with a positive (right) skew?

• J-shaped (normal)

• Bimodal

• Rectangular (Negative left skew)

• None of the above

What does kurtosis measure in a distribution?

• Central tendency

• Dispersion

• Symmetry

• Shape

Which term describes the probability distribution of a single variable in a joint distribution?

• Marginal probability

• Conditional probability

• Variance

• Skewness

Which distribution shape is associated with a negative (left) skew?

• J-shaped (normal)

• Bimodal

• Rectangular (Negative left skew)

• None of the above

What is the range of distribution

• The difference between the mean and median

• • The difference between the first and third quartiles

• • The difference between the biggest and smallest values

• The standard deviation

What does conditional probability represent?

• • The probability distribution of a single variable

• The probability of an event occurring given that another event has occurred

• The difference between the biggest and smallest values

• The measure of dispersion

How is the mean calculated for a set of data?

• • Divide the range by the number of observations

• Add up all the variables and divide by the number of observations

• • Take the square root of the variance

• Find the difference between the biggest and smallest values