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Edexcel International AS Maths: Statistics 1

Revision Notes

Home / International AS / Maths: Statistics 1 / Edexcel / Revision Notes / 3. Statistical Distributions / 3.2 Normal Distribution / 3.2.4 Finding Sigma and Mu


3.2.4 Finding Sigma and Mu


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 table of the 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
    • The table gives the -value to three decimal places to avoid rounding errors
      • Use the sketch to help you decide whether your z value is positive or negative
      • You should use the 3 decimal places throughout your calculations so that your final answer can be rounded to 3 significant figures
  • 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 
    • Be careful not to mix up which z-value goes with which value of begin mathsize 16px style x end style

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. 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: 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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