| Question | Answer |
| Hypothesis | "testable" statement that connects I.V. and D.V. |
| Independent Variable | deliberately changed; plotted on x-axis |
| Dependent Variable | measured variable; plotted on y-axis |
| Random Errors | caused by any factor that randomly effects the measurements of the I.V. ie. human errors |
| Identification of Random Errors: | amount of scatter can reflect amount of random errors. HIGH scatter = HIGH R.E. LOW scatter = LOW R.E. |
| REDUCTION of Random Errors: | increase in sample size allows averages to be calculated so the EFFECT of random errors can be MINIMISED. |
| ELIMINATION of Random Errors: | measurements CANNOT be perfect so R.E. can't be eliminated |
| Precision: (only for random errors) | (only for random errors) how well random errors are minimised. HIGH scatter {HIGH R.E}. = LOW PRECISION LOW scatter {LOW R.E.} = HIGH PRECISION |
| Systematic Errors | present when measured values differ CONSISTENTLY from the TRUE VALUE ie. faulty equipment, incorrect calibrations and experimental design |
| Identification of Random Errors: | g |
| REDUCTION of Random Errors: | h |
| Accuracy (only for systematic errors) | how close the results are to the TRUE VALUE |
| Experimental results can only be: | SUPPORTED or REFUTED {not proved} |
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