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AQA A Level Maths: Statistics

Revision Notes

Home / A Level / Maths: Statistics / AQA / Revision Notes / 4. Statistical Distributions / 4.3 Normal Distribution (A Level only) / 4.3.3 Standard Normal Distribution


4.3.3 Standard Normal Distribution


Standard Normal Distribution

What is the standard normal distribution? 

  • The standard normal distribution is a normal distribution where the mean is 0 and the standard deviation is 1
    • It is denoted by Z
    • begin mathsize 16px style Z tilde straight N left parenthesis 0 comma 1 squared right parenthesis end style

Why is the standard normal distribution important?

  • Any normal distribution curve can be transformed to the standard normal distribution curve by a horizontal translation and a horizontal stretch
  • Therefore we have the relationship:
    • begin mathsize 16px style Z equals fraction numerator X minus mu over denominator sigma end fraction end style
    • Where begin mathsize 16px style X tilde N left parenthesis mu comma sigma squared right parenthesis end style and begin mathsize 16px style Z tilde straight N left parenthesis space 0 comma space 1 squared right parenthesis end style
  • Probabilities are related by:
    • begin mathsize 16px style straight P left parenthesis X less than a right parenthesis equals straight P open parentheses Z less than fraction numerator a minus mu over denominator sigma end fraction close parentheses end style 
    • This will be useful when the mean or variance is unknown
  • If a value of x is less than the mean then the z-value will be negative
  • In old textbooks you might see the function begin mathsize 16px style straight capital phi left parenthesis straight z right parenthesis end style this just means begin mathsize 16px style straight P left parenthesis Z less than z right parenthesis end style

Finding Sigma and Mu

How do I find the mean (μ) or the standard deviation (σ) if one of them is unknown?

  • If the mean or standard deviation of the begin mathsize 16px style X tilde N left parenthesis mu comma sigma squared right parenthesis end style is unknown then you will need to use the standard normal distribution
  • You will need to use the formula
    • begin mathsize 16px style z equals fraction numerator x minus mu over denominator sigma end fraction end style or its rearranged form begin mathsize 16px style x equals mu plus sigma z end style
  • You will be given a probability for a specific value of begin mathsize 16px style x left parenthesis P left parenthesis X less than x right parenthesis equals p space or space P left parenthesis X greater than x right parenthesis equals p right parenthesis end style 
  • To find the unknown parameter:
  • STEP 1: Sketch the normal curve
    • Label the known value and the mean
  • STEP 2: Find the z-value for the given value of x
    • Use the Inverse Normal Distribution to find the value of z such that begin mathsize 16px style P left parenthesis Z less than z right parenthesis equals p end style or begin mathsize 16px style P left parenthesis Z greater than z right parenthesis equals p end style
    • Make sure the direction of the inequality for Z is consistent with X
    • Try to use lots of decimal places for the z-value to avoid rounding errors
      • You should use at least one extra decimal place within your working than your intended degree of accuracy for your answer
  • STEP 3: Substitute the known values into size 16px z size 16px equals fraction numerator size 16px x size 16px minus size 16px mu over denominator size 16px sigma end fraction or 
    • You will be given x and one of the parameters (μ  or σ) in the question
    • You will have calculated z in STEP 2
  • STEP 4: Solve the equation

How do I find the mean (μ) and the standard deviation (σ) if both of them are unknown?

  • If both of them are unknown then you will be given two probabilities for two specific values of x
  • The process is the same as above
    • You will now be able to calculate two z-values
    • You can form two equations (rearranging to the form size 16px x size 16px equals size 16px mu size 16px plus size 16px sigma size 16px z is helpful)
    • You now have to solve the two equations simultaneously (you can use your calculator to do this)
    • Be careful not to mix up which z-value goes with which value of begin mathsize 16px style x end style

Worked Example

It is known that the times, in minutes, taken by students at a school to eat their lunch can be modelled using a normal distribution with standard deviation 4 minutes.

Given that 10% of students at the school take less than 12 minutes to eat their lunch, find the mean time taken by the students at the school.

4-3-3-standard-normal-distribution-we-solution

Exam Tip

  • These questions are normally given in context so make sure you identify the key words in the question. Check whether your z-values are positive or negative and be careful with signs when rearranging.


  • 1. Statistical Sampling
    • 1.1 Sampling & Data Collection
      • 1.1.1 Sampling & Data Collection
    • 2. Data Presentation & Interpretation
      • 2.1 Statistical Measures
        • 2.1.1 Basic Statistical Measures
          • 2.1.2 Frequency Tables
            • 2.1.3 Standard Deviation & Variance
            • 2.2 Data Presentation
              • 2.2.1 Data Presentation
                • 2.2.2 Box Plots & Cumulative Frequency
                  • 2.2.3 Histograms
                  • 2.3 Working with Data
                    • 2.3.1 Outliers & Cleaning Data
                      • 2.3.2 Intrepreting Data
                        • 2.3.3 Skewness
                        • 2.4 Correlation & Regression
                          • 2.4.1 Correlation & Regression
                          • 2.5 Further Correlation & Regression (A Level only)
                            • 2.5.1 PMCC & Non-linear Regression
                              • 2.5.2 Hypothesis Testing for Correlation
                            • 3. Probability
                              • 3.1 Basic Probability
                                • 3.1.1 Calculating Probabilities & Events
                                  • 3.1.2 Venn Diagrams
                                    • 3.1.3 Tree Diagrams
                                    • 3.2 Further Probability (A Level only)
                                      • 3.2.1 Set Notation & Conditional Probability
                                        • 3.2.2 Further Venn Diagrams
                                          • 3.2.3 Further Tree Diagrams
                                            • 3.2.4 Probability Formulae
                                          • 4. Statistical Distributions
                                            • 4.1 Probability Distributions
                                              • 4.1.1 Discrete Probability Distributions
                                              • 4.2 Binomial Distribution
                                                • 4.2.1 The Binomial Distribution
                                                  • 4.2.2 Calculating Binomial Probabilities
                                                  • 4.3 Normal Distribution (A Level only)
                                                    • 4.3.1 The Normal Distribution
                                                      • 4.3.2 Normal Distribution - Calculations
                                                        • 4.3.3 Standard Normal Distribution
                                                        • 4.4 Choosing Distributions (A Level only)
                                                          • 4.4.1 Modelling with Distributions
                                                            • 4.4.2 Normal Approximation of Binomial
                                                          • 5. Hypothesis Testing
                                                            • 5.1 Hypothesis Testing
                                                              • 5.1.1 Hypothesis Testing
                                                              • 5.2 Hypothesis Testing (Binomial Distribution)
                                                                • 5.2.1 Binomial Hypothesis Testing
                                                                • 5.3 Hypothesis Testing (Normal Distribution) (A Level only)
                                                                  • 5.3.1 Sample Mean Distribution
                                                                    • 5.3.2 Normal Hypothesis Testing
                                                                  • 6. Large Data Set
                                                                    • 6.1 Large Data Set
                                                                      • 6.1 Large Data Set


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                                                                    Author: Daniel

                                                                    Dan graduated from the University of Oxford with a First class degree in mathematics. As well as teaching maths for over 8 years, Dan has marked a range of exams for Edexcel, tutored students and taught A Level Accounting. Dan has a keen interest in statistics and probability and their real-life applications.


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