Correlation describes the extent to which the relationship is close to a linear relationship.

Correlation

Maths

Checking understanding of the mean

Calculating the mean

Understanding the median

Calculating the median

Understanding the mode

Calculating the mode

Understanding and calculating the range

Summarising data

Changing a data point

Evaluating the range

Comparing statistical representations

Comparing summaries of data

Analysing different statistical representations

Statistical problems - data collection

Statistical problems - statistical summaries

Statistical problems - data presentations

Statistical problems - drawing conclusions

Problem solving with numerical summaries of data

In this unit, pupils consider the mean, median and mode and evaluate their usefulness in a variety of contexts. In the sampling unit, pupils are given the opportunity to consider where the data came from and how it was collected and can therefore start to evaluate how good a representation the sample is of the whole population.

In this unit, pupils learnt how to calculate the mean and began to use the mean to make comparisons between two sets of data. Pupils also considered whether the mean was an appropriate way of representing the data 

In this unit pupils explore the concept of measures of central tendancy, developing understanding of different types of average and their relative benefits and drawbacks. We then investigate other summaries of data such as the range and data comparison techniques.

Numerical summaries of data

The word {{ }} describes the extent to which the association is close to a linear association.

A positive correlation suggests that as the independent variable increases, the dependent variable {{ }}.

Which graph shows a negative correlation?

Which type of correlation best describes the data in the scatter graph?

Which graph could be described as having an association/relationship which is not linear?

True or false? Correlation always implies that one variable is affecting the other.

Bivariate data has {{ }} variables that are together.

Which type of graph can be used to display bivariate data by plotting coordinates on a grid?

Which variable is usually assigned to the horizontal axis of a scatter graph?

Which scatter graphs shows a case where as one variable increases the other variable also tends to increase?

In which graph does the line have a positive gradient?

The line in the graph has a {{ }} gradient.

Correlation

Lesson outcome