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Overview

Framework:
RQF
Level:
Level 3
Unit No:
H/617/6665
Credits:
3
Guided learning hours:
24 hours

Aim

The aim of this unit is to provide learners with a fundamental awareness of key statically measures with a focus on how statistical data can be represented.

Unit Learning Outcomes

1

Be able to use numerical measures, graphs and diagrams.

  • Statistical diagrams
    Bar charts; cumulative frequency diagrams; holograms; scatter diagrams; pie charts; histograms; line graphs.
  • Averages;
    Mean, median and mode of a data set.
  • Spread
    Standard deviation (SD) of raw and grouped data; using mean and SD to compare data sets; outliers.

Assessment Criteria

  • 1.1

    Interpret statistical diagrams.

  • 1.2

    Calculate and use averages.

  • 1.3

    Calculate and use measures of spread.


2

Be able to organise and present data.

  • Types
    Qualitative; quantitative; discrete; continuous.

  • Charts and diagrams
    Bar charts; cumulative frequency diagrams; holograms; scatter diagrams; pie charts; histograms; line graphs.

Assessment Criteria

  • 2.1

    Organise types of data as qualitative, quantitative, discrete or continuous.

  • 2.2

    Construct suitable charts and diagrams for presenting data to others.


3

Be able to calculate probability.

  • Probabilities
    Single; independent; mutually exclusive; conditional probabilities.
  • Diagrams
    Tree; Venn; two-way tables.

Assessment Criteria

  • 3.1

    Calculate and compare probabilities.

  • 3.2

    Interpret probabilities using diagrams.

  • 3.3

    Use language and symbols appropriate to probability.


4

Be able to correlate data.

  • Calculate
    Spearman’s correlation coefficient; Pearson’s correlation coefficient.

Assessment Criteria

  • 4.1

    Calculate the correlation between data.


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