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Edexcel International AS Maths: Statistics 1

Revision Notes

Home / International AS / Maths: Statistics 1 / Edexcel / Revision Notes / 1. Data Presentation & Interpretation / 1.1 Statistical Measures / 1.1.3 Standard Deviation & Variance


1.1.3 Standard Deviation & Variance


Standard Deviation & Variance

The variance is another measure for the spread of the data, it measures the variability from the mean of the data.

What is the variance and the standard deviation?

  • The variance is a statistic that tells us how varied a set of data is
    • Data that is more spread out will have a greater variance
    • Data that is consistent and close together will have a smaller variance
  • The standard deviation is the square root of the variance
  • The symbol for the population standard deviation is the lowercase Greek letter sigma, σ  and for variance is sigma squared, σ2
  • Standard deviation and variance are used interchangeably within this course so make sure you look out for which one a question shows or asks for

How are the variance and standard deviation calculated?

  • There is more than one formula that can be used for calculating the variance, and you should choose the most useful one
  • For a set of begin mathsize 16px style n end style values begin mathsize 16px style x subscript 1 comma space x subscript 2 comma space... space comma space x subscript i space comma space... space comma x subscript n end stylethe variance is the sum of the squares of the deviations from the mean, divided by the frequency
    • Variance =
      • This formula can be time consuming and therefore is rarely used in this statistics course
  • A second, easier to use version of the variance is:
    • Variance = begin mathsize 16px style fraction numerator straight capital sigma x squared over denominator n end fraction minus x with bar on top squared end style
    • This version is easier to work with and should be used in most instances
      • The summary statistic begin mathsize 16px style S subscript x x end subscript equals straight capital sigma left parenthesis x subscript i space minus space top enclose x right parenthesis squared space equals space straight capital sigma x subscript i squared minus end stylebegin mathsize 14px style left parenthesis straight capital sigma x subscript i right parenthesis squared over n end style  can help derive different formulae as shown below:

Variance =begin mathsize 16px style sigma squared equals fraction numerator straight capital sigma left parenthesis x minus x with bar on top right parenthesis squared over denominator n end fraction equals S subscript x x end subscript over n equals 1 over n open parentheses straight capital sigma x squared minus left parenthesis straight capital sigma x right parenthesis squared over n close parentheses equals fraction numerator straight capital sigma x squared over denominator n end fraction minus open parentheses fraction numerator straight capital sigma x over denominator n end fraction close parentheses squared equals fraction numerator straight capital sigma x squared over denominator n end fraction minus x with bar on top squared space space end style

      • An easy way to remember this is to think of it as ‘the sum of x squared over n minus the sum of the mean squared’
      • Most calculators can be used to find summary statistic such as the standard deviation and variance fairly quickly, practice finding it on yours
  • The standard deviation is the square root of the variance
    • Standard deviation = begin mathsize 16px style sigma space equals space square root of fraction numerator straight capital sigma left parenthesis x minus x with bar on top right parenthesis squared over denominator n end fraction end root equals square root of fraction numerator straight capital sigma x squared over denominator n end fraction minus x with bar on top squared end root space equals square root of S subscript x x end subscript over n end root end style
      • You are given the formula for Sxx but not for variance or standard deviation
  • The units for standard deviation are the same as the units for the data and the units for variance are the same as the units for the data but squared

How are the variance and standard deviation calculated from a frequency table?

  • The method for finding the variance from a frequency table is similar to that of the mean
    • If calculating from a grouped frequency table, find the midpoints, begin mathsize 16px style x end style,  first
    • Multiply each x value by its corresponding frequency and use these values within the formulae
    • The formulae will become
      • Variance = sigma squared equals space fraction numerator straight capital sigma f left parenthesis x minus x with bar on top right parenthesis squared over denominator straight capital sigma f end fraction equals fraction numerator straight capital sigma f x squared over denominator straight capital sigma f end fraction minus open parentheses fraction numerator straight capital sigma f x over denominator straight capital sigma f end fraction close parentheses squared
      • Standard deviation = sigma space equals space square root of fraction numerator straight capital sigma f left parenthesis x minus x with bar on top right parenthesis squared over denominator straight capital sigma f end fraction end root equals square root of fraction numerator straight capital sigma f x squared over denominator straight capital sigma f end fraction minus open parentheses fraction numerator straight capital sigma f x over denominator straight capital sigma f end fraction close parentheses end root squared

Worked Example

Phoom recorded the length of time, t , it took him, in minutes, to answer a selection of further calculus exam questions. The data is summarised in the table below.

Time (minutes)

Frequency

 2 space less or equal than space t space less than space 4

1

 4 space less or equal than space t space less than space 6

4

 6 space less or equal than space t space less than space 8

7

 8 space less or equal than space t space less than space 10

5

 10 space less or equal than space t space less than space 12

2

 12 space less or equal than space t space less than space 20

2

(i)
Calculate an estimate of the variance of the time taken to complete a question, include units with your answer.

 

(ii)
Write down an estimate of the standard deviation of the time taken to complete a question, include units with your answer.

2-1-3-sd-and-variance-we-solution-part-1

2-1-3-sd-and-variance-we-solution-part-2

Exam Tip

  • Look out for whether a question gives or asks for the standard deviation or variance, especially if the question is using sigma notation.
  • Choose which formula to use wisely, most of the time the summary statistics will be given so only one of the formulae will be possible. On the rare occasion that you are asked to calculate directly from a table think carefully about which version of the formula is quickest and easiest to use. It will almost always be the second version given in this revision note.


  • 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


                                                                DOWNLOAD PDF

                                                              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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