Module 1.1 Practical skills assessed in a written assessment

New data is collected and conclusions are then drawn

Data from other studies is used to draw conclusions

Are suitable results that can test the aim

A prediction using scientific knowledge and trusted information from textbooks, colleagues and papers

A type of primary research Sets out limits to observe something already happening

Secondary research Uses the raw data from a variety of different studies to try to answer a new aim Mathematical approach using statistics Allows a large data group to be studied

Has a numerical value Requires a measuring instrument to be observed

Descriptions of what is observed

The smallest change in the quantity being measure that can be observed

How close to the true value a measurement is

The factor that you are interested in changing to see the effect in has on another factor Listed in the first column of the results table

The factor that you measure or observe in an experiment This data is added to the results table as the experiment progresses

A factor that you must keep constant between each repeat of the experiment so the results can be compared Not recorded in a result table

A factor that may affect the experiment but that you have not measured or controlled

The International System of Units (SI) states the units that quantities should be measured in E.g. Distance is measured in metres (m) Time in seconds (s) Mass in kilograms (kg)

A step-by-step detailed explanation of how to complete an experiment Should be written in such a way that anyone can follow it and complete the experiment in the same way The equipment and reagents need to be listed before the method Fully labelled diagram

First column = independent variable, can be completed before experiment Other columns contain the dependent variable Each column heading must be labelled with the variable and its unit of measurement Entries to the table don’t require units as they are recorded in the headings

A measured value that could be any number E.g. Temperature

Values can only be definite numbers E.g. Atomic number

A qualitative description E.g. The colour of a precipitate

X axis (horizontal axis)

Y axis (vertical axis)

Both variables must be continuous

The independent variable can be discrete or categoric The dependent variable can be continuous or discrete