How science works Flashcards
Difference between continuous and discontinuous data
Continuous: data that falls into discrete categories (bar charts) e.g eye colour
Discontinuous: Data that does not fall into discrete categories (line graphs) e.g temperature
What is normal distribution
A bell shaped graph. Most results in the middle and tapers off towards either extreme
Mean, median and mode
Mean: the readings all added together and divided by the number of readings
Median: middle value in results in rank order
Mode: most frequently occurring value
What is standard deviation
A measure of spread of results around the mean.
The greater the standard deviation, the less reliable the results are.
Why is standard deviation more useful than range?
Takes into account all the data, not just the extremes so is less influenced by outliers.
Tells us how spread out the result is around the mean
Used in statistical tests to tel us if there is a significant difference between the two sets of data
What do SD error bars tell us
If error bars overlap, the difference between two sets of data is not significant and is due to chance and vice versa
What is uncertainty?
The interval within the true value is expected to lie, with a given level of confidence of probability
What is percentage error?
The difference between approximate and exact values as a percentage
What does reliable mean?
The results can be consistently reproduced in independent experiments
What does repeatable mean?
If the experiment is repeated and the same results are obtained
What does reproducible mean?
If the experiment is repeated by someone else and the same results are obtained
What is the difference between monitoring and controlling a variable?
Monitoring is taking readings of a variable during an investigation. Controlling is keeping a variable at a predetermined or set level during an experiment.
What is the difference between outliers and anomalies?
Anomalies are values not judged to be part of the variation caused by random uncertainty, whilst outliers are the most extreme parts of the variation, but are real results.
Correlations
Shows that there is a relationship between 2 variables, but may not be a causal one.
Causal links
A change in one variable causing the change in another