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Edexcel International A Level Maths: Statistics 1

Revision Notes

Home / International A Level / Maths: Statistics 1 / Edexcel / Revision Notes / 3. Statistical Distributions / 3.2 Normal Distribution / 3.2.3 Normal Distribution - Calculations


3.2.3 Normal Distribution - Calculations


Throughout this section we will use the random variable begin mathsize 16px style X tilde straight N left parenthesis mu comma space sigma squared right parenthesis end style . For normal,  can take any real number. Therefore any values mentioned in this section will be assumed to be any real number.

Calculating Normal Probabilities

How do I find probabilities using a normal distribution?

  • The area under a normal curve between the points and  is equal to the probability P(a < X < b )
    • Remember for a normal distribution begin mathsize 16px style P left parenthesis a less or equal than X less or equal than b right parenthesis equals P left parenthesis a less than X less than b right parenthesis end style so you do not need to worry about whether the inequality is strict (< or >) or weak (≤ or ≥)
  • The equation of a normal distribution curve is complicated so the area must be calculated numerically
  • You will be expected to standardise all normal distributions to and use the table of the normal distribution to find the probabilities
    • It is likely that your calculator has a function that can find normal probabilities, if so it is a good idea to learn to use it so that you can check your probabilities
    • However you must show your calculations to get the z values and use the tables to get all the marks

How do I calculate the probability for a normal distribution?

  • A random variable begin mathsize 16px style X tilde straight N left parenthesis mu comma sigma squared right parenthesis end style  can be coded to model the standard normal distribution Error converting from MathML to accessible text. using the formula

begin mathsize 16px style Z equals fraction numerator X minus mu over denominator sigma end fraction end style

  • You can calculate a probability begin mathsize 16px style straight P left parenthesis X less than x right parenthesis end style using the relationship begin mathsize 16px style straight P left parenthesis X less than x right parenthesis equals straight P open parentheses Z less than fraction numerator x minus mu over denominator sigma end fraction close parentheses end style
  • Always sketch a quick diagram to visualise which area you are looking for
  • Once you have determined the z value use the table of the normal distribution to find the probability
    • Refer to your sketch to decide if you need to subtract the probability from one
  • The probability of a single value is always zero for a normal distribution
    • You can picture this as the area of a single line is zero
    • begin mathsize 16px style bold P bold left parenthesis bold italic X bold equals bold italic x bold right parenthesis bold equals bold 0 end style
  • begin mathsize 16px style straight P left parenthesis X less than mu right parenthesis equals straight P left parenthesis X greater than mu right parenthesis equals 0.5 end style
    • You can look at which side of the mean x is on and the direction of the inequality to decide if your answer should be greater or less than 0.5
  • As begin mathsize 16px style straight P left parenthesis X equals a right parenthesis equals 0 end style you can use:
    • begin mathsize 16px style straight P left parenthesis X less than a right parenthesis plus straight P left parenthesis X greater than a right parenthesis equals 1 end style
    • begin mathsize 16px style straight P left parenthesis X greater than a right parenthesis equals 1 minus straight P left parenthesis X less than a right parenthesis equals 1 minus straight capital phi open parentheses fraction numerator a minus mu over denominator sigma end fraction close parentheses end style
    • begin mathsize 16px style straight P left parenthesis a less than X less than b right parenthesis equals straight P left parenthesis X less than b right parenthesis minus straight P left parenthesis X less than a right parenthesis equals straight capital phi open parentheses fraction numerator b minus mu over denominator sigma end fraction close parentheses minus straight capital phi open parentheses fraction numerator a minus mu over denominator sigma end fraction close parentheses end style

Inverse Normal Distribution

Given the value of P(X < a)  or P(X > a)  how do I find the value of a?

  • Given a probability you will have to look through the table of the normal distribution to locate the z-value that corresponds with that probability
  • Look at whether your probability is greater or less than 0.5 and the direction of the inequality to determine whether your z-value will be positive or negative
    • If begin mathsize 16px style straight P left parenthesis X less than a right parenthesis end style is more than 0.5 or begin mathsize 16px style straight P left parenthesis X greater than a right parenthesis end style is less than 0.5 then a should be bigger than the mean
      • z will be positive
    • If begin mathsize 16px style straight P left parenthesis X less than a right parenthesis end style is less than 0.5 or begin mathsize 16px style straight P left parenthesis X greater than a right parenthesis end style is more than 0.5 then a  should be smaller than the mean
      • z will be negative
  • You do not need to remember these, a sketch will help you see it
    • Always sketch a diagram
  • If your probability is less than 0.5 you will need to subtract it from one to find the corresponding z value
    • Remember that the position of the z-value will not change, only the direction of the inequality
  • Once you have the correct value substitute it into the formula begin mathsize 16px style z equals fraction numerator a minus mu over denominator sigma end fraction end style   and solve to find the value of a
  • Always check that your answer makes sense by considering where a is in relation to the mean

Given the value of P(µ- a < X < µ + a) I find the value of a  ?

  • A sketch making use of the symmetry of the graph is essential
  • If you are given begin mathsize 16px style P left parenthesis mu minus a less than X less than mu plus a right parenthesis equals a percent sign end style  then begin mathsize 16px style straight P left parenthesis X less than mu plus a right parenthesis end style will be begin mathsize 16px style open parentheses fraction numerator 100 plus a over denominator 2 end fraction close parentheses percent sign end style 
    • This is easier to see from a sketch than to remember
    • You can then look through the tables for the corresponding z-value and substitute into the formula  begin mathsize 16px style z equals fraction numerator left parenthesis mu plus a right parenthesis minus mu over denominator sigma end fraction equals a over sigma end style

Exam Tip

  • The most common mistake students make when finding values from given probabilities is forgetting to check whether the z-value should be negative or not.  Avoid this by checking early on using a sketch whether z is positive or negative and writing a note to yourself before starting the other calculations.


  • 1. Data Presentation & Interpretation
    • 1.1 Statistical Measures
      • 1.1.1 Basic Statistical Measures
        • 1.1.2 Frequency Tables
          • 1.1.3 Standard Deviation & Variance
            • 1.1.4 Coding
              • 1.1.5 Statistical Modelling
              • 1.2 Working with Data
                • 1.2.1 Data Presentation
                  • 1.2.2 Stem and Leaf Diagrams
                    • 1.2.3 Box Plots
                      • 1.2.4 Histograms
                        • 1.2.5 Outliers
                          • 1.2.6 Intrepreting Data
                            • 1.2.7 Skewness
                            • 1.3 Correlation & Regression
                              • 1.3.1 Properties of Scatter Diagrams
                                • 1.3.2 Correlation & Regression
                                  • 1.3.3 Coding Bivariate Data
                                • 2. Probability
                                  • 2.1 Basic Probability
                                    • 2.1.1 Calculating Probabilities & Events
                                      • 2.1.2 Venn Diagrams
                                        • 2.1.3 Tree Diagrams
                                        • 2.2 Further Probability
                                          • 2.2.1 Conditional Probability
                                            • 2.2.2 Further Venn Diagrams
                                              • 2.2.3 Further Tree Diagrams
                                                • 2.2.4 Probability Formulae
                                              • 3. Statistical Distributions
                                                • 3.1 Discrete Random Variables
                                                  • 3.1.1 Discete Probability Distributions
                                                    • 3.1.2 E(X) & Var(X) (Discrete)
                                                      • 3.1.3 aX+b
                                                        • 3.1.4 Discrete Uniform Distribution
                                                        • 3.2 Normal Distribution
                                                          • 3.2.1 The Normal Distribution
                                                            • 3.2.2 Standard Normal Distribution
                                                              • 3.2.3 Normal Distribution - Calculations
                                                                • 3.2.4 Finding Sigma and Mu


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                                                              Author: Amber

                                                              Amber gained a first class degree in Mathematics & Meteorology from the University of Reading before training to become a teacher. She is passionate about teaching, having spent 8 years teaching GCSE and A Level Mathematics both in the UK and internationally. Amber loves creating bright and informative resources to help students reach their potential.


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