# Statistics Chapter 1 Vocab

## Terms

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- Statistics
- is the science of collecting, organizing, analyzing, and interpreting data in order to make decisions.
- Population
- is the collection of all outcomes, responses, measurements, or counts that are of interest.
- Sample
- is the subset of a population
- Parameter
- is a numerical description of a population characteristic.
- Stat
- a numerical description of a sample characteristic.
- Descriptive stat
- is the branch of stats that involves the organization, summarization, and display of data.
- Inferential stat
- is the branch of stats that involves using a sample to draw conclusions about a population. A basic tool in the study of inferential stats is probability.
- Qualitative data
- consist of attributes, labels, or nonnumerical entries.
- Quantitative data
- consist of numerical measurements or counts.
- Nominal level of measurement
- are qualitative only. Data at this level are categorized using names, labels, or qualities. No mathematical computations can be made at this level.
- Ordinal level of measurement
- are qualitative or quantitative. Data at this level can be arranged in order, but differences between data entries are not meaningful.
- Interval level of measurement
- are quantitative. The data can be ordered, and you can calculate meaningful differences between data entries. At the interval level, a zero entry simply represents a position on a scale; the entry is not an inherent zero.
- Ratio level of measurement
- are similar to data at the interval level, with the added property that a zero entry is an inherent zero. A ratio of two data values can be formed so one data value can be expressed as a multiple of another.
- Random sample
- is one in which every member of the population has an equal chance of being selected.
- Simple Random Sample
- is a sample in which every possible sample of the same size has the same chance of being selected.
- Stratified sample
- is important for the sample to have members from each segment of the population
- Cluster sample
- When the population falls into naturally occurring subgroups, each having similar characteristics.
- Systematic Sample
- is a sample in which each member of the population is assigned a number.
- Convenience sample
- consists only on avaliable members of the population.
- 4 different ways of collecting data
- Experiment, Simulation, Census, and Sampling