Vocab Exam 1 Flashcards
Population
The entirety of data points that is of interest
Parameter
The true value of the population of interest. This can be the mean, variance, proportion, etc.
Estimate
The process of inferring the underlying value of interest from incomplete data
Sampling Error
The chance difference in the sample’s estimate of the population’s parameter, which results from not sampling the entire population
Bias
Systemic deviation between a sample and its population that results in a directional difference in a sample’s estimate of a population’s parameter
Accuracy
How close the estimate is to the true population parameter
Precision
The spread or variability between sample estimates
Random sampling
Samples that fulfill the following two criteria:
1. Every data point has an equal probability of being included in the sample
2. Selection of data points is independent
Convenience sample
The sample is based on individuals easily available to the researcher
Volunteer bias
Arises form systemic difference between individuals who volunteer and the population of interest
Frequency distribution
The number of times each value occurs in your sample
Population distribution
The probabilities associated with each outcome across the entire population
Discrete distribution
Only certain values are possible (e.g. number of children, shoe size, wins at March Madness)
Continuous distribution
Any value is (theoretically) possible (e.g. height, time to complete an exam, amount of rainfall)