Quiz 1 Slatistics
Simple Random Sample (SRS): Each member of the population has an equal chance of being selected.
Census: Data collection that includes every member of the population.
Convenience Sample: A sample drawn from a part of the population that is easy to reach, often leading to biased results.
Voluntary Response Sample: A sample consisting of volunteers, typically those with strong opinions, which can result in bias.
Random Sampling: The process of selecting a sample in such a way that every individual has a known, equal chance of being chosen.
Stratified Sampling: Dividing the population into distinct subgroups (strata) and randomly sampling from each subgroup.
Systematic Sampling: Selecting every kkkth member from a list of the population.
Cluster Sampling: Dividing the population into sections (clusters) and randomly selecting entire clusters for the sample.
Confounding: Occurs when two variables are intertwined in such a way that their individual effects on a response variable cannot be distinguished from each other.
Categorical Variables: Variables that categorize or describe attributes of a population. They can be:
Nominal: Categories with no logical order.
Example of Nominal: Eye color.
Ordinal: Categories with a logical order.
Example of Ordinal: Education level (e.g., high school, bachelor's, master's).
Numerical Variables: Variables that represent quantities and can be measured. They can be:
Discrete: Countable values.
Example of Discrete: Number of parking spots.
Continuous: Values that can take on any value within a range.
Example of Continuous: Height or temperature.
Variable: A characteristic or attribute that can take on different values.
Population: The entire group of interest in a study.
Parameter: A numerical value summarizing a characteristic of a population (e.g., population mean).
Sample: A subset of the population selected for study.
Statistic: A numerical value summarizing a characteristic of a sample (e.g., sample mean).
These corrections and refinements should help clarify the concepts for your quiz. Good luck!
Simple Random Sample (SRS): Each member of the population has an equal chance of being selected.
Census: Data collection that includes every member of the population.
Convenience Sample: A sample drawn from a part of the population that is easy to reach, often leading to biased results.
Voluntary Response Sample: A sample consisting of volunteers, typically those with strong opinions, which can result in bias.
Random Sampling: The process of selecting a sample in such a way that every individual has a known, equal chance of being chosen.
Stratified Sampling: Dividing the population into distinct subgroups (strata) and randomly sampling from each subgroup.
Systematic Sampling: Selecting every kkkth member from a list of the population.
Cluster Sampling: Dividing the population into sections (clusters) and randomly selecting entire clusters for the sample.
Confounding: Occurs when two variables are intertwined in such a way that their individual effects on a response variable cannot be distinguished from each other.
Categorical Variables: Variables that categorize or describe attributes of a population. They can be:
Nominal: Categories with no logical order.
Example of Nominal: Eye color.
Ordinal: Categories with a logical order.
Example of Ordinal: Education level (e.g., high school, bachelor's, master's).
Numerical Variables: Variables that represent quantities and can be measured. They can be:
Discrete: Countable values.
Example of Discrete: Number of parking spots.
Continuous: Values that can take on any value within a range.
Example of Continuous: Height or temperature.
Variable: A characteristic or attribute that can take on different values.
Population: The entire group of interest in a study.
Parameter: A numerical value summarizing a characteristic of a population (e.g., population mean).
Sample: A subset of the population selected for study.
Statistic: A numerical value summarizing a characteristic of a sample (e.g., sample mean).
These corrections and refinements should help clarify the concepts for your quiz. Good luck!