NEUR 2001 Lecture Notes - Lecture 16: Statistical Inference, Level Of Measurement, Frequency Distribution

• School: Carleton University
• Department: Neuroscience
• Course: NEUR 2001
• Professor: melissa chee

Document Summary

Nominal used to name or label a series of values. Ordinal give info on the order of choices. Ratio gives order and calculate ratios. Interval gives order of values and difference between values. Observations are inherently variable, partly due to measurement error: statistics allow accurate conclusion to be drawn from data. Allow quantification of observations, and for the observations to be summarized (discuss data as a group) Inferential to make inferences: use results from sample to make conclusions about a population, statistical significance. Identify the score that has the greatest frequency. Applies to all scales of measurement but it is not commonly used. The middle number; if there is two numbers in the middle, you take the average of the 2. Cannot be used for nominal scale, but is useful if there are outliers. All scores are added and then divided by the number of individuals. Cannot be applied to nominal or ordinal scale.