Glossary
- Page ID
- 20777
Words (or words that have the same definition) | The definition is case sensitive | (Optional) Image to display with the definition [Not displayed in Glossary, only in pop-up on pages] | (Optional) Caption for Image | (Optional) External or Internal Link | (Optional) Source for Definition |
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(Eg. "Genetic, Hereditary, DNA ...") | (Eg. "Relating to genes or heredity") | The infamous double helix | https://bio.libretexts.org/ | CC-BY-SA; Delmar Larsen |
Word(s) |
Definition |
Image | Caption | Link | Source |
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A Glossary from "Introductory Statistics" | Schafer and Zhang | ||||
alternative hypothesis | A statement that is accepted as true only if there is convincing evidence in favor of it. | ||||
ANOVA F-test | a test based on an F
statistic to check whether several population means are equal. |
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binomial random variable | A
random variable that counts successes in a fixed number ofindependent , identical trials of a success/failure experiment. |
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Box Plot | For a data set, a diagram constructed using the
five-number summary , which graphically summarizes the distribution of the data. |
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Chi-Square Goodness of Fit Test | A test based on a chi-square
statistic to check whether asample is taken from a population with a hypothesizedprobability distribution . |
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Chi-Square Random Variable | A
random variable that follows a chi-square distribution. |
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Chi-Square test | A test based on a chi-square
statistic to check whether twofactors areindependent . |
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Coefficient of Determination | A number that measures the proportion of the variability in y that is explained by x. | ||||
Complement of an Event | The
event does not occur |
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Conditional Probability | The probability of the
event A taking into account the fact thatevent B is known to have occurred. |
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Confidence Interval | An interval with endpoints x-±E, computed from the
sample data in such a way that a specified proportion of all intervals constructed by this process will contain the parameter of interest. |
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Continuous | A
random variable whose possible values contain an interval of decimal numbers. |
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Critical Value | The number or one of a pair of numbers that determines the
rejection region . |
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Data List | An explicit listing of all the individual measurements made on a
sample |
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Degrees of Freedom | A number that specifies a particular t-distribution and that is computed based on the
sample size. |
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Density Function | The function f(x) such that probabilities of a
continuous random variable X are areas of regions under the graph of y=f(x). |
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Descriptive Statistics | The organization, display, and description of data. | ||||
Error | Using y−y^, the actual y-value of a data point minus the y-value that is computed from the equation of the line fitting the data. | ||||
Event | Any set of outcomes. | ||||
Expected Value | The mean of a distribution. | ||||
Extrapolation | The process of using the
least squares regression equation to estimate the value of y at an x value not in the properrange . |
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F-Distribution | A particular
probability distribution specified by twodegrees of freedom , df1 and df2. |
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Factors | A variable with several qualitative levels. | ||||
F Random Variable | A
random variable following an F-distribution. |
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Five Number Summary | Of a data set, the list {xmin, Q1, Q2, Q3, xmax}. | ||||
Frequency | Of a class of measurements, the number of measurements in the data set that are in the class. | ||||
Hypothesis | A statement about a population parameter. | ||||
Hypothesis Testing | A statistical procedure in which a choice is made between a
null hypothesis and a specificalternative hypothesis based on information in asample . |
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Independent Events | Events whose probability of occurring together is the product of their individual probabilities. | ||||
Inferential Statistics | The process of drawing conclusions about a population based on a
sample. . |
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Interquartile Range (IQR) | Of a data set, the difference between the first and third
quartiles. . |
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Intersection of Events | Both events occur. | ||||
Least Squares Regression Equation | The equation y^=β^1x+β^0 of the
least squares regression line . |
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Least Squares Regression Line | The equation y^=β^1x+β^0 of the
least squares regression line . |
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Level of Confidence | The proportion of confidence intervals which, if under repeated random sampling were always constructed according to the formula of the text, would contain the parameter of interest. | ||||
Level of Significance | The probability α that defines an
event as “rare;” the probability that the test procedure will lead to a Type Ierror . |
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Linear Correlation Coefficient | A number computed directly from the data that measures the strength of the linear relationship between the two variables x and y. | ||||
Mutually Exclusive | Events that cannot both occur at once. | ||||
Normal Distribution | Assignment of probabilities to a
continuous random variable using a bell curve for thedensity function . |
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Normal Random Variable | A
continuous random variable whose probabilities are determined by a bell curve. |
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ANOVA | Analysis of variance. | ||||
Null Hypothesis | The statement that is assumed to be true unless there is convincing evidence to the contrary. | ||||
Observed Significance or p-value | The probability, if H0 is true, of obtaining a result as contrary to H0 and in favor of Ha as the result observed in the
sample data . |
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Percentile Rank | Of a measurement x, the percentage of the data that are less than or equal to x. | ||||
Population Mean | The familiar average of a population data set. | ||||
Population Standard Deviation | The variability of population data as measured by the number σ2=Σ(x−μ)^2/N. | ||||
Probability Distribution | A list of each possible value and its probability. | ||||
Probability of an Event | A number that measures the likelihood of the
event . |
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Probability of an Outcome | A number that measures the likelihood of the outcome. | ||||
Qualitative Data | Measurements for which there is no natural numerical scale. | ||||
Quantitative Data | Numerical measurements that arise from a natural numerical scale. | ||||
Quartiles | Of a data set, the three numbers Q1, Q2, Q3 that divide the data approximately into fourths. | ||||
Random Variable | A numerical value generated by a random experiment. | ||||
Range | The variability of a data set as measured by the number R=xmax−xmin. | ||||
Rejection Region | An interval or union of intervals such that the
null hypothesis is rejected if and only if thestatistic of interest lies in this region. |
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Relative Frequency Histogram | A graphical device showing how data are distributed across the
range of their values by collecting them into classes and indicating the proportion of measurements in each class. |
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Sample | The objects examined. | ||||
Sample Data | The measurements from a
sample . |
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Sample Mean | The familiar average of a
sample data set. |
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Sample Median | The middle value when data are listed in numerical order. | ||||
Sample Mode | The most frequent value in a data set. | ||||
Sample Variance (the square root of which is the sample standard deviation) | The variability of
sample data as measured by the number Σ(x−x-)^2/(n−1). |
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Sampling Distribution | The
probability distribution of asample statistic when thestatistic is viewed as arandom variable . |
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Standard Deviation of the Population | The number Σ(x−μ)^2P(x) (also computed using [Σx^2P(x) ]−μ2), measuring its variability under repeated trials. | ||||
Standard Normal Random Variable | The
normal random variable with mean 0 andstandard deviation 1. |
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Standardized Test Statistic | The standardized
statistic used in performing the test. |
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Statistic | A number computed from the
sample data . |
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Statistics (as a discipline) | Collection, display, analysis, and inference from data. | ||||
Tail | The region under a density curve whose area is either P(X<x*) or P(X>x*) for some number x*. | ||||
Type II Error | Failure to reject a false
null hypothesis . |
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Union of Events | One or the other
event occurs. |
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Z-score | Of a measurement x, the distance of x from the mean in units of
standard deviation . |