Glossary
- Page ID
- 13577
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\(\newcommand{\avec}{\mathbf a}\) \(\newcommand{\bvec}{\mathbf b}\) \(\newcommand{\cvec}{\mathbf c}\) \(\newcommand{\dvec}{\mathbf d}\) \(\newcommand{\dtil}{\widetilde{\mathbf d}}\) \(\newcommand{\evec}{\mathbf e}\) \(\newcommand{\fvec}{\mathbf f}\) \(\newcommand{\nvec}{\mathbf n}\) \(\newcommand{\pvec}{\mathbf p}\) \(\newcommand{\qvec}{\mathbf q}\) \(\newcommand{\svec}{\mathbf s}\) \(\newcommand{\tvec}{\mathbf t}\) \(\newcommand{\uvec}{\mathbf u}\) \(\newcommand{\vvec}{\mathbf v}\) \(\newcommand{\wvec}{\mathbf w}\) \(\newcommand{\xvec}{\mathbf x}\) \(\newcommand{\yvec}{\mathbf y}\) \(\newcommand{\zvec}{\mathbf z}\) \(\newcommand{\rvec}{\mathbf r}\) \(\newcommand{\mvec}{\mathbf m}\) \(\newcommand{\zerovec}{\mathbf 0}\) \(\newcommand{\onevec}{\mathbf 1}\) \(\newcommand{\real}{\mathbb R}\) \(\newcommand{\twovec}[2]{\left[\begin{array}{r}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\ctwovec}[2]{\left[\begin{array}{c}#1 \\ #2 \end{array}\right]}\) \(\newcommand{\threevec}[3]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\cthreevec}[3]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \end{array}\right]}\) \(\newcommand{\fourvec}[4]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\cfourvec}[4]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \end{array}\right]}\) \(\newcommand{\fivevec}[5]{\left[\begin{array}{r}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\cfivevec}[5]{\left[\begin{array}{c}#1 \\ #2 \\ #3 \\ #4 \\ #5 \\ \end{array}\right]}\) \(\newcommand{\mattwo}[4]{\left[\begin{array}{rr}#1 \amp #2 \\ #3 \amp #4 \\ \end{array}\right]}\) \(\newcommand{\laspan}[1]{\text{Span}\{#1\}}\) \(\newcommand{\bcal}{\cal B}\) \(\newcommand{\ccal}{\cal C}\) \(\newcommand{\scal}{\cal S}\) \(\newcommand{\wcal}{\cal W}\) \(\newcommand{\ecal}{\cal E}\) \(\newcommand{\coords}[2]{\left\{#1\right\}_{#2}}\) \(\newcommand{\gray}[1]{\color{gray}{#1}}\) \(\newcommand{\lgray}[1]{\color{lightgray}{#1}}\) \(\newcommand{\rank}{\operatorname{rank}}\) \(\newcommand{\row}{\text{Row}}\) \(\newcommand{\col}{\text{Col}}\) \(\renewcommand{\row}{\text{Row}}\) \(\newcommand{\nul}{\text{Nul}}\) \(\newcommand{\var}{\text{Var}}\) \(\newcommand{\corr}{\text{corr}}\) \(\newcommand{\len}[1]{\left|#1\right|}\) \(\newcommand{\bbar}{\overline{\bvec}}\) \(\newcommand{\bhat}{\widehat{\bvec}}\) \(\newcommand{\bperp}{\bvec^\perp}\) \(\newcommand{\xhat}{\widehat{\xvec}}\) \(\newcommand{\vhat}{\widehat{\vvec}}\) \(\newcommand{\uhat}{\widehat{\uvec}}\) \(\newcommand{\what}{\widehat{\wvec}}\) \(\newcommand{\Sighat}{\widehat{\Sigma}}\) \(\newcommand{\lt}{<}\) \(\newcommand{\gt}{>}\) \(\newcommand{\amp}{&}\) \(\definecolor{fillinmathshade}{gray}{0.9}\)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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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. | ||||
binomial random variable | A random variable that counts successes in a fixed number of independent, identical trials of a success/failure experiment. | ||||
box plot | For a data set, a diagram constructed using the five-number summary, which graphically summarizes the distribution of the data. | ||||
chi-square goodness-of-fit test | A test based on a chi-square statistic to check whether a sample is taken from a population with a hypothesized probability distribution. | ||||
chi-square random variable | A random variable that follows a chi-square distribution. | ||||
chi-square test | A test based on a chi-square statistic to check whether two factors are independent. | ||||
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. | ||||
conditional probability | The probability of the event A taking into account the fact that event B is known to have occurred. | ||||
confidence interval | An interval with endpoints , 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. | ||||
continuous | A random variable whose possible values contain an interval of decimal numbers. | ||||
critical value | The number or one of a pair of numbers that determines the rejection region. | ||||
data list | An explicit listing of all the individual measurements made on a sample. | ||||
degrees of freedom | A number that specifies a particular t-distribution and that is computed based on the sample size. | ||||
density function | The function such that probabilities of a continuous random variable X are areas of regions under the graph of . | ||||
Descriptive statistics | The organization, display, and description of data. | ||||
error | Using , 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 | Its mean. | ||||
extrapolation | The process of using the least squares regression equation to estimate the value of y at an x value not in the proper range. | ||||
random variable | A random variable following an F-distribution. | ||||
F-distribution | A particular probability distribution specified by two degrees of freedom, |
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factors | A variable with several qualitative levels. | ||||
five-number summary | Of a data set, the list |
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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 specific alternative hypothesis based on information in a sample. | ||||
independent | Events whose probability of occurring together is the product of their individual probabilities. | ||||
Inferential statistics | Drawing conclusions about a population based on a sample. | ||||
interquartile range (IQR) | Of a data set, the difference between the first and third quartiles. | ||||
intersection of events | Both events occur. | ||||
least squares regression equation | The equation of the least squares regression line. | ||||
least squares regression line | The line that best fits a set of sample data in the sense of minimizing the sum of the squared errors. | ||||
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 of the test | The probability that defines an event as “rare;” the probability that the test procedure will lead to a Type I error. | ||||
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. | ||||
most conservative estimate | The estimate obtained using , which gives the largest estimate of n. | ||||
mutually exclusive | Events that cannot both occur at once. | ||||
normal distribution | Assignment of probabilities to a continuous random variable using a bell curve for the density function. | ||||
normal random variable | A continuous random variable whose probabilities are determined by a bell curve. | ||||
NOVA | 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. | ||||
percentile rank | Of a measurement x, the percentage of the data that are less than or equal to x. | ||||
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 regression line | The line with equation |
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population standard deviation | The variability of population data as measured by the number . | ||||
probability distribution | A list of each possible value and its probability. | ||||
probability of an event | A number that measures the likelihood of the event. | ||||
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 , , 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 | ||||
rejection region | An interval or union of intervals such that the null hypothesis is rejected if and only if the statistic of interest lies in this region. | ||||
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. | ||||
sample | The objects examined. | ||||
sample data | The measurements from a sample. | ||||
sample mean | The familiar average of a sample data set. | ||||
sample median | The middle value when data are listed in numerical order. | ||||
sample mode | The most frequent value in a data set. | ||||
sample standard deviation | The variability of sample data as measured by the number . | ||||
sample standard deviation of errors | The statistic . | ||||
sampling distribution | The probability distribution of a sample statistic when the statistic is viewed as a random variable. | ||||
standard deviation | The number (also computed using |
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standard normal random variable | The normal random variable with mean 0 and standard deviation 1. | ||||
standardized test statistic | The standardized statistic used in performing the test. | ||||
statistic | A number computed from the sample data. | ||||
Statistics | Collection, display, analysis, and inference from data. | ||||
tail | The region under a density curve whose area is either or for some number . | ||||
Type II error | Failure to reject a false null hypothesis. | ||||
union of events | One or the other event occurs. | ||||
z-score | Of a measurement x, the distance of x from the mean in units of standard deviation. |