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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.
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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