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TERMS
| Question | Answer |
|---|---|
| independent variable | factor being changed by the experiment (must be operationalised) |
| dependent variable | that which changes as a result of changing the IV (operationalise) |
| hypothesis | if....then... when...changes, then... (operationalise!!) |
| aim | the scientific purpose of the experiment (links the IV and DV to show the purpose) |
| research question | basically the aim in question form |
| how to minimise potential risks | wears safety glasses, aprons, hair tied back |
| control group | a seperate group in the experiment that isn't under the same conditions as the other measurments (usually no IV applied) |
| what does a control group do ? | checks for the validity of the experiment, if there are no changes, then there isn't a second IV that is impacting the DV (experiment fulfils the aim) |
| control variables | variables that are kept constant throughout the experiment, allowing the IV to be the only factor changing the DV |
| qualitative data | data that is descriptive and non-numerical (bar graph) |
| quantitative data | data that can be counted and measured using numbers (line graph) |
| graphs L | IV - x axis DV - y axis |
| outliers | readings that lie a long way from other results, often caused by random errors, or changes in controled varibales |
| how can the impact of outliers be reduced ? | averaging results, removing the value |
| precision | how close two or more measurment values agree with eachother between repeated trials (caused by random errors) |
| random erros | unpredictable fluctuations in measurements (measuremnet instruments) |
| systematic errors | consistent, directional errors that skew data towards one direction (methodology) |
| repeatability | closeness of results between trials / under identical conditions |
| reproduceability | closeness of results under different measurement conditions |
| validity | when the experiment measures what it claims to be measuring |
| how do uncontrolled variables impact validity ? | uncontrolled variables limit the methodology by introducing an unwanted second IV, meaning the data may not reflect the true effect of the IV on the DV |