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Lecture 1

PSYB07H3 Lecture Notes - Lecture 1: Sample Size Determination, Human Height

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Dwayne Pare

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Datum: Singular form of data
Population: entire collection of events in which you are interested. You study population
PARAMETERS and use GREEK LETTERS for variables.
Sample: subset of said population. If you survey the entire population, then population=sample.
You study sample STATISTICS and use ROMAN/NORMAL LETTERS for variables.
Descriptive Stats: describe a data set numerically. Can be a parameter if based on population
or a statistic if based on a sample
Inferential Stats: make conclusions about populations from samples
External Validity: The degree to which the sample reflects the population. This is affected by:
Sample size (higher sample size is better)
Random sampling (positive)
Internal Validity: The degree to which the experiment measures what it’s supposed to
Discrete variable: Something that can take a limited number of values (Y/N)
Continuous variable: Something that can theoretically take any value along a scale (%)
This is a bar graph - used when data is discrete
This is a histogram - used for continuous data
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