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Chapter 1 Terms

Across
Type of study where the investigators do not assign the treatments
Quantitative variables that can take on any value in some interval
A sampling technique where every nth item is selected to the sample
A sampling technique where each collection of n population items is equally likely to make up the sample
Sampling technique that is not drawn by a well-defined random method
Entire collection of individuals
Qualitative variables whose categories have no natural order
This type of error occurs when data is collected erroneously or the sample is biased / nonrepresentative
A sampling technique where a population is divided into groups such that each group has similar characteristics and a simple random sample is chosen from each group
This type of bias may occur when the investigator has an interest in the outcome of an experiment.
Type of experiment in which the investigator assigns treatments to experimental units at random
Down
Type of bias that may occur when people are reluctant to admit to behavior that would reflect negatively on them
Quantitative variables whose possible values can be listed
Sampling technique in which the population is subdivided into groups, a random sample of groups is chosen and every individual of the chosen groups is sampled.
Type of bias that occurs when some members of the population are more likely to be included in the sample than others.
A subset of the population
Branch of mathematics concerned with collecting, describing and drawing conclusions from data
Type of variables that classify individuals into categories
Type of variables that tells how much or how many
A variable that is related to the treatment and outcome that makes it difficult to determine whether differences in the outcome are due to the treatment or this
Qualitative variables whose categories have a natural ordering