NEUR 2001 Lecture Notes - Lecture 17: Sample Size Determination, Statistical Inference, Bar Chart

• School: Carleton University
• Department: Neuroscience
• Course: NEUR 2001
• Professor: Melissa Chee

Document Summary

Scales of measurement: nominal used to name or label a series of values, ordinal give information on the order of choices, typically measures non-numerical concepts. Interval gives order of values and difference between values: ratio gives order and calculate ratios. Why do we need statistics: observations are inherently variable, this is partly due to measurement error. Environmental, observer, participant changes: statistics allow accurate conclusions to be drawn from data, despite this variability statistics draw meaning from the data, allow quantification of observations, better than more or less, allow observations to be summarized. If you examined 100 mice, you do not want to describe each mouse individually allow you to discuss data as a group. Types of statistics: descriptive statistics to describe data, organize data, summarize data. Inferential statistics to make inferences from data: method that uses results from a sample to make conclusions about a population.