University:
High School
Course:
High School Mathematics
Academic year:

2022
Views:

175

Pages:

3
Author:

Karen Cantrell

Collecting Data Types of Samples random sample each member of a population has an equal chance of being selected self-selected sample members volunteer themselves from the population systematic sample using a rule to select members from a population (every other, every 5th) stratified sample divide the population into similar groups (based on a characteristic) Then randomly selecting from each group cluster sample divide the population into groups (clusters) Then pick one or more clusters. (all members of that cluster) convenience sample only members of a population who are easily reached. bias sample a sample that over/under represents part of a population unbiased sample represents the whole population Methods of Collecting Data experiment imposes a treatment on individuals in order to collect data ie drug trial observational study observe individuals and then measure variables without controlling the individuals' or their environment ie sit and watch from a bench in a park survey an investigation of one or more characteristics Ask question(s) of each participant ie Asking simulation uses a model to reproduce the conditions of a situation/process so that the "simulated" outcomes closely match the real-world outcomes. ie computer program of past data to try to "predict" what might happen biased question are questions that are framed in a way that leads to inaccurate results. Ex: encourage a particular response don't provide enough info to get an accurate opinion too sensitive to answer truthfully address more than one issue.