3.1 Flashcards
(33 cards)
What is a random variable?
This is a function that represents a set of numbers and there is a probability associated with a number being picked from the sample space.
What is an observation?
This is an individual occurrence.
What is the data?
This is the recorded information of one or more variables for a set of observations.
What is the dataset?
This is a particular set of data.
What is the nominal scale?
These are observations that are categorized into groups that cannot be ranked or ordered.
What is the ordinal scale?
These are observations that are categorized into groups that can be ranked or ordered.
What is the interval scale?
The most you can do with this scale is subtract the values.
What is the ratio scale?
This scale is also only quantitatively useful.
What is the mean?
This is the average of the data and it is used to gauge the data surrounding it.
What is the proportion?
This is a ratio of the category over the total observations.
What is the population?
These are the set of instances that are associated with the variable of interest.
What is the sample?
This is the selected subset of observations from the population.
What are the parameters?
These are the means or proportions at the population level.
What are the sample statistics?
These are the sample level means and proportions.
What is simple random sample?
This is a random selection of objects from a size n.
What is stratified sampling?
This is when the sample is divided into subgroups based on observations or characteristics and randomly selects X objects overall.
What is cluster sampling?
The objects of interest that are chosen are randomly picked from subgroups that are not that different from each other.
What is systematic sampling?
This is when a specific number on a list of the sample space is chosen.
What is convenience sampling?
This is when the objects of interest are chosen based on ease of attaining.
What is voluntary sampling?
This is when people are the subjects of interest and they volunteer to be in the sample.
What is sample bias?
This is when the subset of the population has a higher or lower chance of being selected for a sample compared to the rest of the population.
What is non-response bias?
For whatever reason some portion of the sample’s response is not recorded.
What is measurement bias?
This is when the response recorded from the sample is not true.
What is an explanatory variable?
This is the variable that is able to cause changes to another variable.