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Worked Examples PackStatistics & Data

Worked Examples for Mean, Standard Deviation, and Z-Scores

A more substantial worked-examples pack for descriptive statistics and spread measures, designed for revision and checking.

Filename: worked-examples-for-mean-standard-deviation-and-z-scores.pdfFile size: 3 KB

Formula highlights

Mean
mean = sum of values / number of values
Z-score
z = (x - mean) / standard deviation

Example set 1: centre

Given a small dataset, compute mean, median, mode, and range, then compare what each measure notices and what it ignores.

Example set 2: spread

Use a compact dataset to calculate variance and standard deviation step by step, making the squared-deviation logic visible.

Example set 3: z-scores

Standardise a value using the mean and standard deviation, then interpret whether it is typical or unusual within the model.

Revision reminders

  • Keep the centre and the spread conceptually separate.
  • State whether the variance/standard-deviation model is sample-style or population-style if your workflow requires the distinction.
  • Interpret results in context rather than quoting the number alone.
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