How Science Works Flashcards
Accuracy
An accurate measure is one which is close to the true value
Anomalous data
Fall outside the normal or expected range
Allows anomalous data to be identified with greater certainty
Calibration
Involves fixing known points and constructing a scale between points
Causal link
A change in one variable that is caused by a change in another variable
Chance
Scientists carry out stats tests to assess the probability that the results of an investigation being due to chance
Confounding variable
May affect the outcome of an investigation
Must be kept constant to prevent bias
Control group
Treated the same as experimental group to allow comparisons to be made
Ensures data is valid because any differences due to single independent variable
Correlation
Relationship between two variables
Double-blind trial
Assessing effects of new drug
Neither patients/scientists know which treatment an individual is taking until after trial. Increases validity/avoids bias
Errors
Cause readings to be different from true value
Fair test
Only iv allowed effect of dv- achieved by keeping all other variables the same
Null hypothesis
Stats test requires a clear hypothesis to test
Placebo
Given to control group
Ensures validity
Protocol
Once an experiment has been done and gives valid and reliable results, can be used by other scientists
Random distribution
Arises as a result of chance
Will only be valid if collected at random
Avoids observer bias and allows stats tests to be used