Chapter No # 1: Most Important Short Questions

• What is meant by primary data?
• Define inferential statistics.
• Explain discrete and continuous data.
• Name the sources of secondary data.
• Differentiate between population and sample.
• What is the difference between constant and variable?

Chapter No # 2

• Define parameter and statistics.
• Give the use of statistics.
• Define secondary data with an example.
• Differentiate quantitative vs qualitative variable.
• What is descriptive statistic?
• Define classification and histogram.
• Define tabulation and main parts of a table.
• What is ogive and frequency distribution?
• Differentiate group and ungroup data.

Chapter No # 3

• Define Arithmetic, Harmonic and Geometric mean.
• Two demerits of geometric mean.
• Write two qualities of a good average.
• Empirical relationship between median and mode.
• Discuss advantages of median.
• Find mode of letters “STATISTICS”.
• What is an array?
• Define measures of Central tendency.
• Simple AM vs Weighted AM.
• Define quartiles and percentiles.
• Define pie chart and relative frequency.
• Define VENN diagram and frequency polygon.
• What is class mark and class limits?

Chapter No # 4

• Define skewness and absolute dispersion.
• Define range with its formula.
• Define dispersion and its types.[cite: 9]
• Define Coefficient of Variation (CV).
• Define moments and moment ratios.
• Define relative dispersion and Kurtosis.
• What is a symmetrical distribution?
• Describe properties of variance.
• Define standard deviation and mean deviation.

Chapter No # 5

• Define price relatives and quantity index numbers.
• Steps involved in construction of index numbers.
• Define composite and simple index numbers.
• Describe chain base method
• Define CPI (Consumer Price Index).
• What is base period and its uses?
• Fixed base vs Chain base method.
• Base year weighted vs current weighted index.

Chapter No # 6

• State the addition law of probability.
• Define permutations and exhaustive events.
• What is conditional probability and sample space?
• Define mutually exclusive and independent events.
• Distinguish simple vs compound events.
• Range of probability of an element.
• Write sample space for three fair coins.
• Define combination and multiplication law.

Chapter No # 7

• What is random experiment?
• Define continuous random variable.
• Three properties of random experiment.
• How random numbers can be generated?
• Variable vs Random variable.
• Discrete random variable with two examples.

Chapter No # 8

• Properties of discrete probability distribution.
• Define probability density function (PDF).
• Write down properties of expectation.
• Expected value of a random variable
• What is mathematical expectation?

Chapter No # 9

• Two properties of binomial experiment.
• What is binomial probability distribution?
• Two properties of hypergeometric experiment.
• Define Bernoulli trials.
• Define hypergeometric distribution.
• What are the parameters of distribution?
• Variance of hypergeometric distribution.