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Statistical question
it can be answered by collecting many pieces of information, or data, and summarizing the data
Statistical variable
a quantity of quality that can be measured or counted, and for which data are expected to differ from one observation to another
Categorical variable
data that falls into categories, used for qualitative data and generally not numerical data
Quantitative variable
a quantity that can be counted
Population
the set of all members of a group you want to know more about
Sample
a subset of the population that is being studied to answer a statical question about the population
Parameter
a measure that describes the entire population
Statistic
a measure that describes a sample of the population
Random sample
a sample selected so that each object/person in the population has an equal chance of being selected and each object/person is chosen independently of any other objects in the sample
Stratified sampling
when a population is divided into groups with similar characteristics and a sample is randomly chosen from each group
Cluster sampling
when a population is divided into convenient clusters, and entire clusters are chosen at random as the sample
Systematic sampling
when you start with one member chosen at random then use a rule, such as “every 3rd member of the population” to select members of the sample
Convenience sampling
only choosing subjects that are in close proximity or easy to get to
Self-selected sampling
using a sample made up of volunteers
Sampling methods with a high risk of bias
convenience and self-selected sampling
Experiment
involves randomly dividing a population into two groups, applying a different treatment to each group, and measuring the difference between the treatments
Sample survey
asks every member of a randomly selected sample the same set of questions and records the answers to try and draw a conclusion about the population
Observational study
you don’t assign treatments to the subjects being studied. The subjects are already affected by the treatments under investigation
How do you identify if a value is an official outlier
value < Q1 - 1.5(IQR) or value > Q3 + 1.5(IQR)