CONCEPTS Flashcards
Used to infer effects from a set of numbers without knowing why the numbers are like they are
Statistics
Yields the same output when stimulated several times with the same input
Deterministic
Yields different output from the same input
Random
Partly deterministic and random
Stochastic
Deterministic is ________ because it has no uncertainty however it is _________
Superior; Rare
Numerical value assigned to an observation which reflects the magnitude or amount of some characterisitc
Measurement
Determines the type of analysis that can be made from the data
Scale of Measurement
Classification of observation into mutually exclusive categories of equal rank
Nominal
Ranked in hierarchy of states
Ordinal
Length of successive intervals in constant
Interval
Have a true zero point
Ratio
Type of probability that the outcomes are countable or finite
Discrete Probability
What are the four properties of binomial distribution?
-There are only TWO POSSIBLE OUTCOMES (“success” or “failure”) for each trial.
-Each trial is INDEPENDENT of all the others.
-The probability of success DOES NOT CHANGE from trial to trial.
-The trials are performed on a FIXED number of times.
Type of probability distribution where the number of trials is not fixed
Negative binomial
Type of probability distribution where the probability of success is very small
Poisson Distribution
A special case of the negative binomial when the interest is the number of trials prior to the initial success
Geometric Distribution
An extension of the binomial where more than two mutually exclusive outcomes are possible
Multinomial Distribution
Governs an experiment called sampling without replacement
Hypergeometric Distribution
Variation in the measurements due to instrumental error becomes apparent with repeated measurements
Experimental error
Variation due to experimental error and between members of a set are sometimes mixed with each other
Confounded error
Statistical tests are based on the assumption that random variables are _________
Normally distributed
Well-defined set (finite or infinite) of elements
Population
Subset of elements taken from a population
Sample
Deliberate or accidental exclusion of certain characteristics from a sample
Bias