Averages-From-Grouped-Data Aqa Higher

Averages from grouped data

What is grouped data?

• Data can be collected into groups or class intervals

  • It is useful for organising data if you have a lot of individual data points

  • You can present grouped data in a grouped frequency table

• Grouped data may be discrete or continuous

  • Discrete data is numerical data that can only take on specific values, it needs to be counted

    • E.g. Shoe size

  • Continuous data can take any value within a range of infinite values, it needs to be measured

    • E.g. Length of a foot in cm

Why do I find an estimate for the mean from grouped data?

• It is impossible to find the mean for grouped data, because we don’t have access to the original data values

  • i.e. there is no way to find the exact sum of all the data values

  • so we can’t use the formula,

• However we can estimate the mean for grouped data

  • To do this we use the class midpoints as our data values

    • e.g. if a class interval is 150 ≤ x < 160

    • we assume that all the data values are equal to the midpoint, 155

How do I find an estimate for the mean from grouped data?

• To find an estimate for the mean from grouped data, complete the following steps:

• STEP 1
  Draw an extra two columns on the end of a table of the grouped data

  • In the first new column write down the midpoint of each class interval

  • If the midpoint isn’t obvious, add the endpoints and divide by 2

    • e.g. if a class interval is 150 ≤ x < 160

    • the midpoint is

• STEP 2
  Calculate “frequency” × “midpoint” (this is often called fx)

  • Write these values in the second column you added to the table

• STEP 3
  Find the total for the fx column

  • If the question does not tell you the total number of data values (i.e. the total frequency), find the total of the frequency column also

• STEP 4
  Estimate the mean by using the formula

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