Further Statistics

Overview

Framework:
Access to HE 2024
Level:
Level 3
Unit No:
Not available
Credits:
6
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 how statistical diagrams can be used to support problem solving.

Assessment Criteria

  • 1.1.

    Explain how statistical diagrams can be used in problem solving activities:

    • Stem and leaf plots
    • Box and whisker plots.
2. — Be able to interpret statistical diagrams.

Assessment Criteria

  • 2.1.

    Apply stem and leaf plots to solve a problem.

  • 2.2.

    Apply box and whisker plots to solve a problem.

  • 2.3.

    Solve problems involving skewness.

3. — Be able to work with bivariate data.

Assessment Criteria

  • 3.1.

    Perform calculations to establish the correlation coefficient.

  • 3.2.

    Solve a problem involving linear regression.

4. — Be able to solve probability problems.

Assessment Criteria

  • 4.1.

    Apply a sample space diagram to solve a problem.

  • 4.2.

    Apply Venn diagrams to solve a problem.

  • 4.3.

    Apply conditional probability to solve a problem.

  • 4.4.

    Solve problems involving mutually exclusive events.

  • 4.5.

    Solve problems involving independent events.

  • 4.6.

    Solve problems with Bayes theorem.

5. — Be able to solve problems involving discrete random variables.

Assessment Criteria

  • 5.1.

    Solve problems involving the probability distribution.

  • 5.2.

    Solve problems involving probability functions.

  • 5.3.

    Solve problems involving cumulative distribution functions.

  • 5.4.

    Calculate the mean of a discrete random variable.

  • 5.5.

    Calculate the variance of a discrete random variable.

  • 5.6.

    Solve problems involving linear transformations of a discrete random variable.

6. — Be able to solve problems involving the normal distribution.

Assessment Criteria

  • 6.1.

    Use normal tables to solve a problem.

  • 6.2.

    Solve problems involving the mean and standard deviation of a normal distribution.