Studied by 0 people
Looks like no one added any tags here yet for you.
Methods for organizing and summarizing information
descriptive statistics
Collection of all individuals or items under consideration in a statistical study
population
Part of the population from which information is obtained
sample
Methods for drawing and measuring the reliability of conclusions about a population based on information obtained from a sample of the population
inferential statistics
True or false: The sample will always be bigger than the population
false; the sample derives from the population so it will never exceed the population size
Descriptive or inferential: no inferences are drawn from the data
descriptive
Descriptive or inferential: inferences are drawn from the data
inferential
Descriptive or inferential: the fact that Truman-Barkley got 49.7% of the votes in that tally then that represents the fact that 49% of the voters represented for him nationwide
inferential; drawing inferences about the data
A sampling procedure for which each possible sample of a given size is equally likely to be the one obtained
simple random sampling
A sample obtained by simple random sampling
simple random sample
What are the 2 types of simple random sampling?
with replacement (SRSWR) and without replacement (SRS)
In a designed experiment, the individuals or items on which the experiment is performed
experimental units
Two or more treatments should be compared
control
The experimental units should be randomly divided into groups to avoid unintentional selection bias in constituting the groups
randomization
A sufficient number of experimental units should be used to ensure that randomization creates groups that resemble each other closely and to increase the chances of detecting any differences among the treatments
replication
The characteristic of the experimental outcome that is to be measured or observed
response variable
A variable whose effect on the response variable is of interest in the experiment
factor
The possible values of a factor
levels
For one-factor experiments, it is the levels of the single factor
For multifactor experiments, it is a combination of levels of the factors
treatment
All the experimental units are assigned randomly among all the treatments
completely randomized design
The experimental units are assigned randomly among all the treatments separately within each block
randomized block design
