(Ch 19, stat 1040) | Term | Definition | | ---- | ---- | | Qualitative | A descriptive value (red, blue, high, low) | | Quantitative | A numerical value (7, 8, 9) | | Population | The entire set of existing units that investigators wish to study | | Sample | A portion or subset of the population | | Parameter | A number that describes a characteristic of a *population* (*10%* of US senators voted for something) | | Statistic | A number that describes a *sample* characteristic (*71%* of Americans feel that ...) | > A global consumer survey reported that 6% of US taxpayers used or owned cryptocurrency in 2020. The US government is interested in knowing if this percentage has increased. The University of Chicago surveys 1,004 taxpayers and finds that 13% have used or owned crypto in the past year (2021) In the above example: - The *population* was *US taxpayers* - The *parameter* was *6%* - The *sample* was *1004 taxpayers* - The *statistic* was *13%* ## Simple Random Samples Advantages: - Procedure is impartial - Law of Averages Disadvantages - Not always possible - Can be very expensive ## Bias | Bias Type | Description | | ---- | ---- | | Selection | When the procedure that selects the sample is biased | | Non-Response | Those that don't respond to a survey may have different characteristics than those that do respond | | | |