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ANOVA, Time Series & Index Numbers

Paper-II Statistics (Post-specific) · Statistics Syllabus

Useful for: SSC CGL

Overview

ANOVA compares several means; time-series analysis separates trend and seasonal effects; index numbers measure relative change.

Key points

  • ANOVA F-ratio = mean square between groups ÷ mean square within groups.
  • Time-series components: trend, seasonal, cyclical and irregular.
  • Moving averages smooth short-term fluctuations to show trend.
  • Laspeyres index uses base-year quantities; Paasche uses current-year quantities.
  • Fisher’s ideal index = √(Laspeyres × Paasche).

Explanation

  • Fisher’s index satisfies the time-reversal and factor-reversal tests.
  • CPI measures retail prices for consumers; WPI measures wholesale prices.
  • A chain index links each year to the previous year.
  • Seasonal indices average 100 over a year.

Step by step

  1. Identify the measure or test asked and its formula.
  2. Organise the data (table, totals) before computing.
  3. Interpret the result (sign, size, significance).

Examples

  • Laspeyres 120, Paasche 125 → Fisher = √15,000 ≈ 122.47.
  • Three-year moving averages of 10, 12, 14, 16 → 12 and 14.
  • Between-group mean square 40 and within-group 10 → F = 4.

Traps and advanced points

  • Trap: Using quantities from the wrong year.
  • Trap: Taking Fisher as the arithmetic mean.
  • Trap: Mixing trend and seasonal effects.

Quick revision

  • Fisher = √(L × P).
  • Four time-series components.
  • F = between/within.

Practice MCQs

  1. ANOVA is used to test the equality of

    1. proportions only
    2. two variances only
    3. several means
    4. correlation

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    Answer: (c) several means. It splits total variation into between and within groups.

  2. The test statistic in ANOVA follows the

    1. normal distribution only
    2. t distribution
    3. F distribution
    4. binomial distribution

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    Answer: (c) F distribution. F = between-group mean square ÷ within-group mean square.

  3. The long-term movement in a time series is called the

    1. trend
    2. seasonal variation
    3. irregular variation
    4. cyclical noise

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    Answer: (a) trend. Moving averages can estimate it.

  4. Regular variations that repeat within a year are

    1. seasonal variations
    2. trend
    3. cyclical variations
    4. random walks

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    Answer: (a) seasonal variations. Festival sales are an example.

  5. Laspeyres' price index uses the quantities of the

    1. base year
    2. current year
    3. average of both years
    4. next year

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    Answer: (a) base year. Paasche's index uses current-year quantities.

  6. Fisher's ideal index number is the

    1. sum of both
    2. arithmetic mean of both
    3. geometric mean of Laspeyres' and Paasche's indices
    4. difference of both

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    Answer: (c) geometric mean of Laspeyres' and Paasche's indices. It satisfies the time and factor reversal tests.

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