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42 Cards in this Set

  • Front
  • Back
Median/Median Rank
The median refers tot he score or rating in the middle of a data distribution where the values have been ordered by magnitude. If the distribution has an even number of values, the median refers to the average of the two values in the middle of the ordered distribution.
Mode
the mode refers to the most frequently appearing value(or values) within the distribution; the absolute max within the distribution. For grouped data distributions, the mode refers to the midpoint of the class interval that contains the most scores or ratings
Percentile Point
the percentie point refers to a value in a distribution of ordered scores or ratings that is greater than or equal tot he values of a specified percentage of scores in the distribution
Deciles
refer to a range of values whose upper limit is max of a percentile that is a multiple of ten
Quartiles
refers to a range of values whose upper limit is a max of a percentile that is a multiple of 25.
Range
Range = Y(max)-Y(min)
Interquartile Range
IQR = Y(.75)-Y(.25)
Semi-interquartile range
SIQR = IQR/2
Probability of occurance of Event A
P[A] stands for the proportion of times event A is expected to occur. a fraction from 0.0-1.0
Probabilty of a non-occurance of event A
P[~A] = 1 - P[A]
Probability of Both of two independent events occuring [multiplicaiton rule]
P[A and B] = P[A]*P[B]
Probabilty of at least one of two independent events occur
P[A or B] = P[A] + P[B] - (P[A]*P[B])
Proportion
refers to a decimal fraction ranging from zero to one that shows the part of the total that has a certain characteristic
percentage (%)
refers to the number per hundred that has a certain characteristic
N or n
refers to the total number of subjects or cases
frequency(f)
refers to the number of subjects or cases having a particular value or range of values from some variables
relative frequency (rf)
refers to the proportion of subjects or cases having a particular value or range of values for some variable
percentage frequency (%f)
refers to the percentage of subjects or cases having a particular value or range of values
cumulative frequency (cf)
refers to the number of subjects or cases having a particular value or less for some variable
raw scores
refer to untransformed scores
standardized scores
refer to transformed scores distributed according tohe frequency pattern of the normal distribution
z scores
refer to the standardized scores distributed according to the frequency pattern of the normal distribution

z = Y - u(y) / @(y)
T scores
T = 10z+50
nominal
do not represent amounts
ordinal
represent amounts, may not represent equal amounts
interval
represent amounts, represent equal amounts, negative amounts are possible
ratio
represent amounts, represent equal amounts, negative amounts are impossible
population
refers to all sampling elements with a particular characteristic in common
sampling element
refers to a single member of a population
Sampling unit
refers to the object of study
sample
refers to a subject of sampling elements selected from a population
parameter
refers to a numerical value that descirbes a charcteristic of a distribution of values for a varialbe within a population
statistic
refers to a numerical value that describes a characteristic of a distribution of values for a variable within a sameple
sampling frame
a list of all the sampling units in a population
descriptive statistics
techniques used to characterize, summarize, and interpret data obtained from groups (samples or populations)
inferential statistics
techniques used to evaluate the adequacy of a generalization from obtained sample data to populations
independent variable
the variable that ids the speculative causes under study
levels of the independent varialbe
the values an independent variable may assume
dependent variable
the variable that describes the outcome status resulting from the influence of differnt levels of the independent variable
dependent measuer
the procedures used to measure the dependent variable
reseach hypothesis
a declarative statement that assets an expected relationship between two variables
extraneous variable
a variable other than the independent variable that could affect the dependnt one