data that represents values against one variable

data values in a category that show the actual count of something within the data set

the number of values within a data set that fall below a certain percentage of the total number of values

Using statistical data in geography

Geography

Using atlases

Using OS maps to locate places

Using OS maps to analyse physical features

Describing landscapes using maps

Sketch maps and cross sections

Using and interpreting photographs

Constructing graphs in geography

Interpreting graphs in geography

Using and interpreting spatial data

Using GIS to visualise data in a webmap

This unit teaches pupils about geographical skills. Pupils will learn how to identify, describe and analyse atlas and OS maps at different scales. They will also learn how to construct and interpret photos, diagrams, graphs and thematic maps. Pupils will also learn numerical and statistical skills.

Geographical and statistics skills

Which term refers to the most common value in a data set?

None of the mode, median nor mean values are 'better' to use than the others.

Calculating the mode is the best way to summarise a data set.

Calculating the median is the best way to summarise a data set.

Calculating the mean is the best way to summarise a data set.

Which of the following statements are true?

The number of values that fall below a certain percent of the total number of values is called a ...

the data is more spread out throughout the data set.

the data is more clustered within the data set.

The minimum and maximum values in the data set are further apart.

The lower quartile is greater than the upper quartile.

If one data set has a larger interquartile range than another this means that ...

Data where two variables are plotted against each other.

Data that contains both positive and negative values.

Data that can be interpreted more than one way.

Data that has more than two variables within it.

Some of the finer detail in the data may be lost.

The whole data set has to be commented on rather than just one part of it.

It ignores the overall trends and relationships within the data.

It can take a long time to statistically analyse all of the data.

Which of the following is a disadvantage of summarising data?

It is more representative of the overall population of data.

A larger data set creates more interesting patterns in the data.

A small sample is quicker and easier to analyse.

Why might a large data set, or sample, be better than a smaller one?

Which of these data presentation methods shows proportions of data?

The maximum percentage value possible is ...

A percentage increase means the new value is ...

Starter Quiz

What is bivariate data?