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78 Cards in this Set

  • Front
  • Back
S (Uppercase Sigma) - Σ
Summation
m (Mu) - μ
Population mean
s (Lowercase Sigma) - σ
Population standard deviation
p (Pi) - π
Probability of success in a binomial trial, also population proportion
e (Epsilon) - ε
Maximum allowable error
c2 (Chi Square) - χ²
Nonparametric hypothesis test, Goodness-of-fit test
!
Factorial
H0 (subscript 0)
Null hypothesis
H1 (subscript 1)
Alternate hypothesis
X-bar
Sample mean
s
Sample standard deviation
ρ (rho)
Sample proportion
α
Level of Significance, Type I error
β
Type II error
N
Population size
n
Sample size
F
F-test
Z
Z-Score; Standard normal variable
(Normal variable with mean = 0 & SD = 1)
Zc (subscript c)
Critical vale of Z
p-value
Attained level of significance
df
Degrees of freedom
P (A | B)
Probability of A given B, conditional probability
P(x)
Probability of x
R
Sample Correlation coefficient
r2 (superscript 2)
Coefficient of determination
R2 (superscript 2)
Multiple correlation coefficient
t
Student t-score
S2 (superscript 2)
Sample variance
σ2 (superscript 2)
Population variance
Class frequency
The number of observations in each class
Class midpoint
The point halfway between the upper and lower limit of a class
Cumulative frequency polygon
A graph that shows the number of observations below a certain value
Frequency distribution
A grouping of data into categories showing the number of observations in each mutually exclusive category
Frequency polygon
A graph that consists of line segments connecting the points formed by the intersection of the class midpoint and the class frequency
Histogram
A graph in which the classes are marked on the horizontal axis and the class frequencies on the vertical axis. The class frequencies are represented by the heights of the bars and the bars are drawn adjacent to each other
Relative class frequency
Shows what percent each class is of the total number of observations (frequencies)
Arithmetic mean
The sum of observations divided by the total number of observations.
Chebyshev's theorem
For any set of observations (sample or population), the minimum proportion of the values that lie within k standard deviations of the mean is at least 1 - 1/k2, where k is any constant greater than 1.
Empirical Rule
For a symmetrical, bell-shaped frequency distribution, approximately 68 percent of the observations will lie within plus and minus one standard deviation of the mean; about 95 percent of the observations will lie within plus and minus two standard deviations of the mean; and practically all (99.7 percent) will lie within plus and minus three standard deviations of the mean.
Geometric mean
The nth root of the product of n values.
Mean Deviation
The mean of the absolute values of the deviations from the arithmetic mean.
Measure of location
A single value that summarizes a set of data. It locates the center of the values.
Median
The midpoints of the values after all observations have been ordered from the smallest to the largest, or from largest to smallest. Fifty percent of the observations are above the median and 50 percent are below the median.
Mode
The value of the observation that appears most frequently.
Negatively skewed distribution
The long tail is to the left or in the negative direction. The mean is smaller than the median or mode.
Parameter
A characteristic of a population.
Positively skewed distribution
The long tail is to the right; that is, in the positive direction. The mean is larger than the median or the mode.
Range
The difference between the largest and smallest values in a data set.
Standard Deviation
The square root of the variance.
Statistic
A characteristic of a sample.
Weighted mean
The value of each observation is multiplied by the number of times it occurs. The sum of these products is divided by the total number of observations to determine the weighted mean.
Symmetrical distribution
A distribution that has the same shape on either side of the median.
Variance
The arithmetic mean of the squared deviations from the mean.
Bivariate data
A collection of paired data values.
Box Plot
A graphical display based on five statistics: the minimum value, Q1 (the first quartile), Q2 the median, Q3 (the third quartile) and the maximum value.
Coefficient of variation
The ratio of the standard deviation to the arithmetic mean, expressed as a percent.
Contingency table
A table used to classify sample observations according to two or more identifiable characteristics.
Dot Plot
A graph for displaying a set of data. Each numerical value is represented by a dot placed above a horizontal number line.
First Quartile
The point below which ¼ or 25% of the ranked data values lie. (It is designated Q1).
Scatter diagram
A graph in which paired data values are plotted on an X,Y Axis
Stem-and-Leaf Display
A statistical technique for displaying a set of data. Each numerical value is divided into two parts: The leading digit(s) become the stem, and the trailing digits the leaf. The stems are located along the main vertical axis, and the leaf for each observation along the horizontal axis.
Third Quartile
The point below which ¾ or 75% of the ranked data values lie. (It is designated Q3)
Continuous variable
A quantitative variable that can assume any value within a range
Descriptive statistics
Methods of organizing, summarizing, and presenting data in an informative way
Discrete variable
A quantitative variable that can only assume certain values There is usually a "gap" between the values
Exhaustive
A property of a set of categories such that each individual, object, or measurement must appear in a category
Inferential statistics
The methods used to find out something about a population, based on a sample
Interval level
Includes the ranking characteristics of the ordinal scale and, in addition, the difference between values is a constant size
Mutually exclusive
A property of a set of categories such that an individual or object is included in only one category
Nominal level
A level of measurement in which the data are sorted into classes with no particular order to the classes
Ordinal level
A level of measurement that presumes that one category is ranked higher than another category
Population
The entire set of all individuals or objects of interest or the measurements obtained from all individuals or objects of interest
Qualitative variable
A variable that has the characteristic of being nonnumeric
Quantitative variable
A variable being studied that can be reported numerically
Ratio level
Has all the characteristics of the interval scale, but additionally there is a meaningful zero point and the ratio of two values is meaningful
Sample
A portion, or part, of the population of interest
Statistics
The science of collecting, organizing, presenting, analyzing, and interpreting data to assist in making more effective decisions
Class interval
The size or width of the class