Overview
Qualification Grading Type
Graded
Unit Learning Outcomes
1.
Understand how statistical diagrams can be used to support problem solving.
Assessment Criteria
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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
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2.1.
Apply stem and leaf plots to solve a problem.
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2.2.
Apply box and whisker plots to solve a problem.
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2.3.
Solve problems involving skewness.
3.
Be able to work with bivariate data.
Assessment Criteria
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3.1.
Perform calculations to establish the correlation coefficient.
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3.2.
Solve a problem involving linear regression.
4.
Be able to solve probability problems.
Assessment Criteria
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4.1.
Apply a sample space diagram to solve a problem.
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4.2.
Apply Venn diagrams to solve a problem.
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4.3.
Apply conditional probability to solve a problem.
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4.4.
Solve problems involving mutually exclusive events.
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4.5.
Solve problems involving independent events.
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4.6.
Solve problems with Bayes theorem.
5.
Be able to solve problems involving discrete random variables.
Assessment Criteria
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5.1.
Solve problems involving the probability distribution.
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5.2.
Solve problems involving probability functions.
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5.3.
Solve problems involving cumulative distribution functions.
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5.4.
Calculate the mean of a discrete random variable.
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5.5.
Calculate the variance of a discrete random variable.
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5.6.
Solve problems involving linear transformations of a discrete random variable.
6.
Be able to solve problems involving the normal distribution.
Assessment Criteria
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6.1.
Use normal tables to solve a problem.
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6.2.
Solve problems involving the mean and standard deviation of a normal distribution.