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Class 11 · Chapter 13 · Statistics and Probability unit (12 of 80 marks)

Statistics Class 11: notes and important questions

Revision notes, 17 board-style questions with the step marks shown, and a four-step route from the basics to 95+, each step ending in a short checkpoint.

  • 17 questions
  • 5 multiple choice, 1 assertion–reason, 3 very short answer, 4 short answer, 2 long answer, 2 case study
  • About 9 hours to master

Statistics and Probability unit: 12 of 80 theory marks (Statistics, Probability).

Revision notes

Statistics: revision notes

1. Dispersion and range

Measures of central tendency (mean, median) do not show how spread out data are. The simplest measure of dispersion is the range \(=\) maximum \(-\) minimum; it uses only the two extreme values.

2. Mean deviation

About a central value \(a\) (the mean \(\bar x\) or the median \(M\)):

  • Ungrouped: \(\text{MD}(a) = \dfrac{\sum |x_i - a|}{n}\).
  • Discrete or grouped (use class marks for \(x_i\)): \(\text{MD}(a) = \dfrac{\sum f_i|x_i - a|}{N}\), \(N = \sum f_i\).
  • For the median of a discrete frequency table, find the \(\left(\dfrac{N + 1}{2}\right)\)th value from the cumulative frequencies (\(N\) odd).

3. Variance and standard deviation

\(\sigma^2 = \dfrac{1}{N}\sum f_i(x_i - \bar x)^2 = \dfrac{1}{N}\sum f_ix_i^2 - \bar x^2\), and \(\sigma = \sqrt{\sigma^2}\). For raw data put every \(f_i = 1\) and \(N = n\).

  • Adding a constant to every value leaves \(\sigma\) unchanged; multiplying every value by \(k\) multiplies \(\sigma\) by \(|k|\) and \(\sigma^2\) by \(k^2\).
  • Step-deviation: with \(y_i = \dfrac{x_i - A}{h}\), \(\sigma_x = h\,\sigma_y\) (useful for large equal class widths).

4. Comparing spread

Of two sets with the same mean, the one with the smaller standard deviation (or variance) is less spread out, i.e. more consistent.

Worked example 1

Find the mean deviation about the mean of \(3, 5, 9, 11\).

\(\bar x = 7\); \(|x - 7| = 4, 2, 2, 4\): MD \(= \dfrac{12}{4} = 3\).

Worked example 2

Find the variance of \(2, 4, 6, 8\).

\(\bar x = 5\); squared deviations \(9, 1, 1, 9\): \(\sigma^2 = \dfrac{20}{4} = 5\).

Worked example 3

The SD of a set is \(3\). Find the SD after each value is doubled and then increased by \(7\).

\(2 \times 3 = 6\) (adding \(7\) changes nothing).

Common errors

  • Dropping the modulus in the mean deviation (the deviations then add to \(0\)).
  • Using the class limits instead of the class marks for grouped data.
  • Dividing by \(n\) (number of classes) instead of \(N = \sum f_i\).
  • Forgetting to take the square root for the standard deviation, or subtracting \(\bar x\) instead of \(\bar x^2\) in the short formula.

Exam tips

  • Set out a table with columns \(x_i, f_i, f_ix_i, |x_i - \bar x|\) (or \((x_i - \bar x)^2\)) and totals: the method marks are in the table.
  • Leave a standard deviation as a surd (for example \(4\sqrt2\)) unless a value is supplied.

Topics in this chapter: Dispersion and range · Mean deviation · Variance and standard deviation · Comparing spread.

Route to 95: four steps

Work through the steps in order. Take each checkpoint closed book, about 1.5 minutes per mark; pass at 80% to move on. Two misses in a row means going back one step.

Step 1

Secure the basics

You can find the range, a simple mean deviation and a simple variance, and know how SD responds to scaling.

Read first: 1. Dispersion and range; 2. Mean deviation; 3. Variance and standard deviation 5 practice questions · checkpoint: 3 questions, 3 marks, pass 80%
Practise step 1
Step 2

Exam standard

You can find mean deviations and variances from frequency tables, including about the median.

Read first: 2. Discrete and grouped data; 3. Variance; Worked examples 1-3 6 practice questions · checkpoint: 3 questions, 8 marks, pass 80%
Practise step 2
Step 3

Full marks on long answers

You can compare the spread of two data sets and interpret the result.

Read first: 4. Comparing spread 3 practice questions · checkpoint: 2 questions, 9 marks, pass 80%
Practise step 3
Step 4

95+ stretch (HOTS)

You can work backwards from a mean and variance to missing or corrected values.

Read first: 3. Short formula for Σx²; Common errors 3 practice questions · checkpoint: 3 questions, 9 marks, pass 80%
Practise step 4

Practice questions

Original questions in the board's styles. Multiple-choice answers are checked as you go; for written answers, compare your working with the step mark scheme and record your marks. 2 of the 17 are competency-based (case studies and questions set in a real-life situation): the "Competency-based" button shows just those.

Q1·1 mark·Multiple choiceDispersion and range

The range of the data \(12, 7, 19, 3, 15\) is

  1. (a)\(22\)
  2. (b)\(19\)
  3. (c)\(12\)
  4. (d)\(16\)
Q2·1 mark·Multiple choiceMean deviation

The mean deviation about the mean of \(2, 4, 6, 8, 10\) is

  1. (a)\(2\)
  2. (b)\(2.4\)
  3. (c)\(6\)
  4. (d)\(0\)
Q3·1 mark·Multiple choiceVariance and standard deviation

The variance of \(1, 2, 3, 4, 5\) is

  1. (a)\(3\)
  2. (b)\(\sqrt2\)
  3. (c)\(2\)
  4. (d)\(10\)

Where marks are lost in Statistics

  • Modulus left out in mean deviation. Fix: |xᵢ − a| is always non-negative.
  • Class limits used instead of class marks. Fix: xᵢ = (lower + upper)/2 for each class.
  • Divided by the number of classes. Fix: divide by N = Σfᵢ.
  • Variance given when the standard deviation was asked (or the reverse). Fix: σ = √σ².
  • Corrections to wrong data applied to the mean only. Fix: correct Σx and Σx² separately, then recompute.

Test Statistics against the clock

Want it against the clock? Take a timed 30-mark chapter test on Statistics, new questions each time (CBSE Essentials or the free trial).