AQA A-Level Geography skills and fieldwork overview quiz quiz

Proportional-symbol map

Choropleth map

Flow-line map

Isoline map

It cannot show any spatial pattern

It implies uniform values within each area and is sensitive to the class boundaries chosen

It can only show movement of goods

It always exaggerates the smallest areas

Choropleth map

Isoline map

Proportional-symbol map

Dot density covering whole regions

Data with three components that sum to 100 percent

Movement of people between two places

A single time series

The spread of a single data set

(new value minus original value) divided by original value, times 100

new value divided by original value

original value minus new value, times 100

new value minus original value, divided by 100

The most frequent value

The spread of the middle 50 percent of the data

The arithmetic mean

The total range of all values

No relationship between the variables

A perfect negative correlation

A perfect positive correlation

That one variable causes the other

To convert it into a percentage

To check whether the correlation is statistically significant rather than due to chance

To prove that one variable causes the other

To increase the sample size

Because correlation always means the variables are unrelated

Because a relationship between two variables may be coincidental or caused by a third factor

Because Spearman's rank cannot be calculated reliably

Because significance testing is not part of geography

Random sampling

Systematic sampling

Stratified sampling

Opportunistic sampling only

It guarantees no pattern is ever missed

It gives even, simple coverage, for example along a transect or grid

It always removes all bias

It requires no planning

One day, physical geography only

A minimum of four days, covering physical and human geography

Ten days, human geography only

No fieldwork is required

60 marks and 20 percent of the A-Level

120 marks and 40 percent of the A-Level

30 marks and 10 percent of the A-Level

It is not formally assessed

Data collection

Presentation of data

Evaluation

Choosing the title

Primary data is always quantitative; secondary data is always qualitative

Primary data is collected first-hand by the investigator; secondary data comes from existing sources

Primary data is less reliable than secondary data

There is no difference

It is not important as long as data is collected

Because the strategy affects how representative and unbiased the data is, and the justification is credited

Because it removes the need for evaluation

Because it guarantees a significant correlation