Term
|
Definition
The entire group of individuals in which we want information from |
|
|
Term
|
Definition
Part of the population from which we collect information from. |
|
|
Term
|
Definition
Choosing individuals that are easiest to reach. |
|
|
Term
|
Definition
When a statistical study favors a certain outcome. |
|
|
Term
Voluntary Response Sample |
|
Definition
People that choose to respond to a survey. Very often, they show bias because people with strong opinions respond. |
|
|
Term
|
Definition
Of a certain size of people, certain individuals from that population choose in such a way that every set of a certain number of individuals as an equal chance to be part of the sample that is actually selected |
|
|
Term
|
Definition
A long string of digigts (0,1,2,3,4,5,6,7,8,9, etc.) with certain properties.
- Each entry in the table is equally likely to be any of the 10 digits 0-9
-The entries are independent of each other. One part of the table gives no information about any other part. |
|
|
Term
|
Definition
First, classify the population into strata. Then choos a separate SRS in each stratum and combine the SRSs to form the full sample. |
|
|
Term
|
Definition
A population of similar individuals. |
|
|
Term
|
Definition
Division of the population into smaller groups. These should mirror the characteristics of the population |
|
|
Term
|
Definition
First, divide into clusters. Then chose an SRS of the clusters. All the individuals in the chosen clusters are included in the sample. |
|
|
Term
|
Definition
When some groups in the population are left out of the process of chosing the sample. |
|
|
Term
|
Definition
When an individual chosen for the sample can't be contacted of refuses to participate. |
|
|
Term
|
Definition
Observation of individuals and measurment of variables of interest. Doesn't attempt to influence the responses. |
|
|
Term
|
Definition
Deliberately imposes some treatment on individuals to measure the responses. |
|
|
Term
|
Definition
A variable that is not among the explanitory or response variables in a study, but it may still influence a result. |
|
|
Term
|
Definition
When two variables are associated in such a way that their effects on a response variable cannot be distinguished from each other. |
|
|
Term
|
Definition
Specific condition applied to the individuals in an experiment. |
|
|
Term
|
Definition
The smallest collection of individuals to which treatments are applied. |
|
|
Term
|
Definition
When experimental units are often humans. |
|
|
Term
|
Definition
Experimental units are assigned to treatments at random, using some sort of chance process. |
|
|
Term
Completely Randomized Design |
|
Definition
Treatments are assigned to all of the experimental units completely by chance. |
|
|
Term
|
Definition
Neither the subject or those who interact with them and measure the response know which treatment a subject recieved. |
|
|
Term
Statictically Significant |
|
Definition
Observed effect so large that it would rarely occur by chance. |
|
|
Term
|
Definition
Group of experimental units that are known before the experiment to be similar in some way. It is expected to affect the response to the treatments in some way. |
|
|
Term
|
Definition
The random assignment to experimental units to treatments is carried out separately within each block. |
|
|
Term
|
Definition
When one party knows which treatment is recieved and the other party doesn't know. |
|
|
Term
|
Definition
A "fake treatment" that some experiments use for a control group. It helps prevent confounding. |
|
|
Term
|
Definition
Some patients that recieve a placebo get better because they expect the treatment to work even though they have recieved an inactive treatment. |
|
|