Quantitative Methods – Statistics

Overview

Framework:
Access to HE 2024
Level:
Level 3
Unit No:
Not available
Credits:
3
Guided learning hours:
Not available

Qualification Grading Type

Graded

For the full unit details, please download the latest version of the qualification specification. This is available for download on the relevant qualifications page.

Unit Learning Outcomes

To view the assessment criteria and any additional content, please expand the relevant learning outcome below.

1. — Understand different diagrams used to represent data.

Assessment Criteria

  • 1.1.

    State the advantages and disadvantages of a wide range of diagrams to represent data.

2. — Be able to organise and present data.

Assessment Criteria

  • 2.1.

    Identify data as qualitative, quantitative, discrete, or continuous.

  • 2.2.

    Select the dominant features of data and suggest plausible interpretations.

  • 2.3.

    Construct suitable charts and diagrams including histograms and line graphs with suitable scales.

3. — Know how to calculate and use averages.

Assessment Criteria

  • 3.1.

    Calculate the mean, median and mode of grouped data.

4. — Know how to calculate and use measures of spread.

Assessment Criteria

  • 4.1.

    Calculate standard deviation of raw data and grouped data.

  • 4.2.

    Use mean and standard deviation to compare different data sets.

5. — Be able to use bivariate data.

Assessment Criteria

  • 5.2.

    Make statements about the possible causal relationship between variables with strong correlation.

6. — Be able to calculate probability.

Assessment Criteria

  • 6.1.

    Calculate the probability of combined events.

  • 6.2.

    Construct tree diagrams and use them to solve problems involving combined events.

  • 6.3.

    Identify events which are independent or mutually exclusive.