Chapter 4 (Unit 1) Flashcards
The entire group of individuals about which we want information in a statistical study.
population
The part of the population from which we actually collect information. We use information from this to draw conclusions about the entire population.
sample
When a sample is selected from the population of all individuals about which we desire information (and base conclusions).
sample survey
When we choose individuals for a sample who are easiest to reach results.
convenience sample
The design of a statistical study that systematically favors certain outcomes; using a method that will consistently overestimate or underestimate the unknown value.
bias
A sample that consists of people who choose themselves by responding to a general appeal. This type of sample shows bias because people with strong opinions (often in the same direction) are most likely to respond.
voluntary response sample
A subset of a statistical population in which each member of the subset has an equal probability of being chosen. This type of sample is meant to be an unbiased representation of a group.
simple random sample (SRS)
A long string of the digits 0, 1, 2, 3, 4, 5, 6, 7, 8, and 9. Each entry in this is equally likely to be any of the 10 digits 0-9. The entries are independent of each other. That is, knowledge of one part of the table gives no information about any other part.
table of random digits
To select this type of sample, first classify the population into groups of similar indiviudals, called strata. Then choose a separate SRS in each stratum and combine these SRS’s to form the full sample.
stratified random sample
Important groups
strata
In this type of sample, the bottom population is divided into smaller groups. These groups mirror the characteristics of the population. Then you choose an SRS of these smaller groups. All individuals in the chosen smaller groups are included in the sample.
cluster sample
The process of drawing conclusions about a population on the basis of sample data.
inference
When errors occur during the act of choosing a sample.
sampling errors
This occurs when some groups in the population are left out of the process of choosing the sample. They are represented inadequatley in the sample.
undercoverage
Errors that can plague even a census (errors arising during the course of all survey activities other than sampling).
nonsampling errors