Module 1: Overview of Statistics Flashcards
Sampling unit
-unit being selected at random (email address)
Sample
-collection of sampling units that you randomly selected (72 email addresses)
Observation unit
-scale for data collection/subject of the study (individual person)
Statistical population
-collection of all sampling units that could have been in your study (all people in toronto with an email address)
Population of interest
-collection of sampling units that you hope to draw a conclusion about, defined by scope of your research question
Measurement variable
-what we want to measure about the observation unit (height, age, voting intent)
Measurement unit
-scale of the measurement variable (cm, year), if the data are categorical there is no measurement unit
Descriptive statistics
-characterize the data in your sample (averages, tables, graphs)
Inferential statistics
-use info from your sample to make a probabilistic statement about a statistical population
4 steps of overall framework
-sampling (creating study and collecting samples)
-measuring (taking measurements from observation units)
-calculating descriptive statistics (describe data in your sample)
-calculating inferential statistics (use info in data to draw a conclusion about the statistical population)