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Edexcel IAL - Statistics 1- 5.1 Discrete Random Variables- Study notes  - New syllabus

Edexcel IAL – Statistics 1- 5.1 Discrete Random Variables -Study notes- New syllabus

Edexcel IAL – Statistics 1- 5.1 Discrete Random Variables -Study notes -Edexcel A level Maths- per latest Syllabus.

Key Concepts:

  • 5.1 Discrete Random Variables

Edexcel IAL Maths-Study Notes- All Topics

Discrete Random Variables

A random variable is a variable whose value depends on the outcome of a random experiment. A discrete random variable is one that can take only a finite or countably infinite set of distinct values.

 

Definition

A discrete random variable, usually denoted by \( X \), assigns a numerical value to each outcome in a sample space.

Typical examples include:

  • The number of heads obtained when tossing coins
  • The number shown on a rolled die
  • The number of defective items in a batch

Probability Distribution

The probability distribution of a discrete random variable lists all possible values of the variable and their corresponding probabilities.

For a discrete random variable \( X \):

\( P(X = x) \geq 0 \) for all values of \( x \)

\( \sum P(X = x) = 1 \)

Probabilities may be given:

  • In a table
  • By a formula

Interpretation

When working with discrete random variables, students are expected to:

  • Identify the random variable clearly
  • State the possible values it can take
  • Assign probabilities correctly

Example :

A fair six-sided die is rolled once. Define a suitable discrete random variable and state its possible values.

▶️ Answer/Explanation

Let \( X \) be the number shown on the die.

Possible values: \( 1, 2, 3, 4, 5, 6 \)

Conclusion: \( X \) is a discrete random variable with six possible values.

Example :

Two coins are tossed. Let \( X \) be the number of heads obtained. List the possible values of \( X \).

▶️ Answer/Explanation

Possible outcomes are \( HH, HT, TH, TT \).

Corresponding values of \( X \) are:

0, 1, 2

Conclusion: \( X \) takes the values 0, 1, and 2.

Example :

Explain why the time taken for a car to travel a fixed distance is not a discrete random variable.

▶️ Answer/Explanation

Time can take any value within an interval.

Conclusion: The variable is continuous, not discrete.

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