(1) Name 3 statistics that describe the center of a distribution:
(a) mean_____________ (b) median___________ (c) mode_____________
(2) Name 3 statistics that describe the spread of a distribution:
(a) standard dev.____ (b) variance_________ (c) inter-quartile range (also coef of variation)
(3) Name the 2 main forms of statistical inference.
(a) estimation___________________ (b) hypothesis (significance) testing
(4) Describe a difference between a parameter and a statistic.
Parameter - from population, error-free, constant, typically unknown or hypothetical. Often represented with Greek symbols,
such as �.
Statistics - from sample, error-prone, random variables, calculation from data. Often represented with Roman letters with
overhead hats or bars, such as "x bar" or "p hat."
(5) Define "type I error."
Incorrect rejection of a true null hypothesis
(6) Define "alpha."
Probability of a type I error, or likelihood the researcher is willing to take in missing the parameter (in a confidence interval)
(7) Is cholesterol level measured in mg/dl of blood best described as a continuous, ordinal, or categorical variable.
Continuous
(8) Is behavior type identified as type A or type B best described as a continuous, ordinal, or categorical variable?
Categorical (binary)
(9) Does a row of data in a data table correspond to a variable, value, or observation?
Observation
(10) Does a 95% confidence interval for a mean seek to capture the sample mean or population mean?
The confidence interval seeks to capture the parameter (population mean)