Overview
Qualification Grading Type
Ungraded
Unit Learning Outcomes
1.
Understand different diagrams used to represent data.
Assessment Criteria
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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
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2.1.
Identify data as qualitative, quantitative, discrete, or continuous.
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2.2.
Select the dominant features of data and suggest plausible interpretations.
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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
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3.1.
Calculate the mean, median and mode of grouped data.
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3.2.
Choose an appropriate average and justify the selection.
E.g.,Exam marks- mean; Exam grades - median; qualitative data - mode.
4.
Know how to calculate and use measures of spread.
Assessment Criteria
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4.1.
Calculate standard deviation of raw data and grouped data.
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4.2.
Use mean and standard deviation to compare different data sets.
5.
Be able to use bivariate data.
Assessment Criteria
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5.1.
Calculate a coefficient of correlation.
E.g., Spearman or Product moment.
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5.2.
Make statements about the possible causal relationship between variables with strong correlation.
6.
Be able to calculate probability.
Assessment Criteria
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6.1.
Calculate the probability of combined events.
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6.2.
Construct tree diagrams and use them to solve problems involving combined events.
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6.3.
Identify events which are independent or mutually exclusive.