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Measure of income inequality
In statistics and econometrics, the mean log deviation (MLD) is a measure of income inequality. The MLD is zero when everyone has the same income, and
Mean_log_deviation
Relative measure of dispersion expressed as the ratio of standard deviation to the mean
variation (CV), also known as normalized root-mean-square deviation (NRMSD), and relative standard deviation (RSD), is a standardized measure of dispersion
Coefficient_of_variation
N-th root of the product of n numbers
Arithmetic-geometric mean Generalized mean Geometric mean theorem Geometric standard deviation Harmonic mean Heronian mean Heteroscedasticity Log-normal distribution
Geometric_mean
Probability distribution
} Specifically, the arithmetic mean, expected square, arithmetic variance, and arithmetic standard deviation of a log-normally distributed variable X
Log-normal_distribution
Statistical measure
the geometric standard deviation (GSD) describes how spread out are a set of numbers whose preferred average is the geometric mean. For such data, it may
Geometric_standard_deviation
Statistical error measure
related to the mean squared error, the equivalent for mean absolute error is least absolute deviations. MAE is not identical to root-mean square error (RMSE)
Mean_absolute_error
Measure of variation in statistics
variance being the average of the squared deviations from the mean). A useful property of the standard deviation is that, unlike the variance, it is expressed
Standard_deviation
Summary statistic of variability
related to the given data set. AAD includes the mean absolute deviation and the median absolute deviation (both abbreviated as MAD). Several measures of
Average_absolute_deviation
Measure of inequality of a statistical distribution
entropy measures are frequently used (e.g. or the Theil Index and Mean log deviation as special cases of the generalized entropy index, or equivalently
Gini_coefficient
Type of average of a collection of numbers
number for which the residuals (deviations from the estimate) sum to zero. This can also be interpreted as saying that the mean is translationally invariant
Arithmetic_mean
Statistical measure of variability
data set than the standard deviation. In the standard deviation, the distances from the mean are squared, so large deviations are weighted more heavily
Median_absolute_deviation
Measure of prediction accuracy of a forecast
The mean absolute percentage error (MAPE), also known as mean absolute percentage deviation (MAPD), is a measure of prediction accuracy of a forecasting
Mean absolute percentage error
Mean_absolute_percentage_error
Measured values that are relatively normal for a particular medical test
arithmetic mean in this case, the parameters μlog and σlog can be estimated from the arithmetic mean (m) and standard deviation (s.d.) as: μ log = ln (
Reference_range
Test statistic
extensively in goodness of fit testing. It is also known as mean squared weighted deviation (MSWD) in isotopic dating and variance of unit weight in the
Reduced_chi-squared_statistic
Statistical property
(usually an estimator of a parameter, like the average or mean) is the standard deviation of its sampling distribution. The standard error is often used
Standard_error
Measure of income inequality
income inequality metrics as special cases. For example, GE(0) is the mean log deviation a.k.a. Theil L index, GE(1) is the Theil T index, and GE(2) is half
Generalized_entropy_index
Statistical measure of the magnitude of a phenomenon
group, M denotes the sample mean, μ the population mean, SD the sample's standard deviation, σ the population's standard deviation, and n is the sample size
Effect_size
Inverse of the average of the inverses of a set of numbers
only. The harmonic mean is the reciprocal of the arithmetic mean of the reciprocals of the numbers, that is, the generalized f-mean with f ( x ) = 1 x
Harmonic_mean
Bound on probability of a random variable being far from its mean
deviation of a random variable (with finite variance) from its mean. More specifically, the probability that a random variable deviates from its mean
Chebyshev's_inequality
Index to measure economic inequality
the lower end of the distribution. It is also referred to as the mean log deviation measure. GE(1) = Theil's T and is more sensitive to differences at
Theil_index
Probability distribution
mean) by the range (c − a), linearly for the mean deviation and nonlinearly for the variance: (mean deviation around mean) ( Y ) = ( (mean deviation around
Beta_distribution
Branch of probability theory
In probability theory, the theory of large deviations concerns the asymptotic behaviour of remote tails of sequences of probability distributions. While
Large_deviations_theory
Probability distribution
standard deviation away from the mean, namely at x = μ − σ {\textstyle x=\mu -\sigma } and x = μ + σ . {\textstyle x=\mu +\sigma .} Its density is log-concave
Normal_distribution
Statistical quantity
{\displaystyle S={\frac {\mu -\nu }{\sigma }}} where the mean (μ), median (ν) and standard deviation (σ) of the population have their usual meanings. The
Nonparametric_skew
Statistics concept
observation is the deviation of the observed value from the true value of a quantity of interest (for example, a population mean). The residual is the
Errors_and_residuals
Statistical phenomenon
where it's below its mean, when t < 0), is rt standard deviations above the mean of Y. Since |r| ≤ 1, Y is no farther from the mean than X is, as measured
Regression_toward_the_mean
Value that appears most often in a set of data
has standard deviation σ = 0.25, the distribution of Y is weakly skewed. Using formulas for the log-normal distribution, we find: mean = e μ + σ 2 /
Mode_(statistics)
Procedure to estimate standard deviation from a sample
estimation of a standard deviation is the calculation from a statistical sample of an estimated value of the standard deviation (a measure of statistical
Unbiased estimation of standard deviation
Unbiased_estimation_of_standard_deviation
Normalized measure of the dispersion of a probability distribution
{t_{a}}{t_{b}}}\right)\right]\right)}}\right)}} where tj is the mean absolute deviation of the jth sample and zα is the confidence interval length for
Index_of_dispersion
Measure of statistical dispersion
median of some common distributions are shown below The IQR, mean, and standard deviation of a population P can be used in a simple test of whether or
Interquartile_range
Statistical measure of effect size
the strictly standardized mean difference (SSMD) is a measure of effect size. It is the mean divided by the standard deviation of a difference between two
Strictly standardized mean difference
Strictly_standardized_mean_difference
Ratio of the desired signal to the background noise
standard deviation σN. The signal and the noise must be measured the same way, for example, as voltages across the same impedance. Their root mean squares
Signal-to-noise_ratio
Shorthand used in statistics
distributed random variable, μ (mu) is the mean of the distribution, and σ (sigma) is its standard deviation: Pr ( μ − 1 σ ≤ X ≤ μ + 1 σ ) ≈ 68.27 % Pr
68–95–99.7_rule
Statistical property quantifying how much a collection of data is spread out
Standard deviation Interquartile range (IQR) Range Mean absolute difference (also known as Gini mean absolute difference) Median absolute deviation (MAD)
Statistical_dispersion
Middle quantile of a data set or probability distribution
variability: the range, the interquartile range, the mean absolute deviation, and the median absolute deviation. For practical purposes, different measures of
Median
How many standard deviations apart from the mean an observed datum is
number of standard deviations by which the value of a raw score (i.e., an observed value or data point) is above or below the mean value of what is being
Standard_score
Statistical value representing the center or average of a distribution
distributions. Thus standard deviation about the mean is lower than standard deviation about any other point, and the maximum deviation about the midrange is
Central_tendency
Transforming data by taking the logarithm
median or the mean, by transforming back to the original scale using exponent (with some adjustments for CI for the mean), the inverse of the log transformation
Log transformation (statistics)
Log_transformation_(statistics)
Generalization of means
numbers, and f ( x ) = log ( x ) , {\displaystyle \ f(x)\ =\ \log(x)\ ,} then the f mean corresponds to the geometric mean. (The result is the same
Quasi-arithmetic_mean
Probability distribution that has the most entropy of a class
result). Every distribution with log-concave density is a maximal entropy distribution with specified mean μ and deviation risk measure D . In particular
Maximum entropy probability distribution
Maximum_entropy_probability_distribution
Statistical measure of how far values spread from their average
defined as the expected value of the squared deviation from the mean of a random variable. The standard deviation is the square root of the variance. Technically
Variance
Measure of the deviation of position over time
squared displacement, or mean square fluctuation, is a measure of the deviation of the position of a particle with respect to a reference position over
Mean_squared_displacement
Topics referred to by the same term
genetic condition Masking Level Difference, see Auditory masking Mean log deviation in statistics and econometrics Mixed layer depth in hydrography Multicast
MLD
Numeric quantity representing the center of a collection of numbers
Arithmetic-geometric mean Arithmetic-harmonic mean Cesàro mean Chisini mean Contraharmonic mean Elementary symmetric mean Geometric-harmonic mean Grand mean Heinz mean Heronian
Mean
Sampling from a population which can be partitioned into subpopulations
measurements within strata have a lower standard deviation (as compared to the overall standard deviation in the population), stratification gives a smaller
Stratified_sampling
Unbiased statistical estimator minimizing variance
the sample standard deviation is not unbiased for the population standard deviation – see unbiased estimation of standard deviation. Further, for other
Minimum-variance unbiased estimator
Minimum-variance_unbiased_estimator
Class of statistical models
log(μ) be a linear model. This produces the "cloglog" transformation log ( − log ( 1 − p ) ) = log ( μ ) . {\displaystyle \log(-\log(1-p))=\log(\mu
Generalized_linear_model
Statistical modeling method
variable that follows a Gaussian distribution, where the standard deviation is fixed and the mean is a linear combination of x → {\displaystyle {\vec {x}}} :
Linear_regression
Tool to assess control of a manufacturing process
line is drawn at the value of the mean or median of the statistic The standard deviation (e.g., sqrt(variance) of the mean) of the statistic is calculated
Control_chart
Probability distribution
1853. Poisson noted that if the mean of observations following such a distribution were taken, the standard deviation did not converge to any finite number
Cauchy_distribution
Linear regression model with a single explanatory variable
\Delta y_{i}} as the deviations in xi and yi with respect to their respective means. The above equations are efficient to use if the mean of the x and y variables
Simple_linear_regression
Type of mathematical function
distribution with specified mean μ and Deviation risk measure D. As it happens, many common probability distributions are log-concave. Some examples: the
Logarithmically concave function
Logarithmically_concave_function
preserving spread Mean reciprocal rank Mean signed difference Mean square quantization error Mean square weighted deviation Mean squared error Mean squared prediction
List_of_statistics_articles
Statistical indicators of the deviation of a sample
conventional or non-robust measures of scale, such as sample standard deviation, which are greatly influenced by outliers. The most common such robust
Robust_measures_of_scale
Fourth standardized moment in statistics
kurtosis corresponds to greater extremity of deviations (or outliers), and not the configuration of data near the mean. Excess kurtosis, typically compared to
Kurtosis
Probability distribution
\right){\frac {\sqrt {n}}{s}},} which differs from Z in that the exact standard deviation σ is replaced by the sample standard error s, has a Student's t-distribution
Student's_t-distribution
Comparisons in quantitative sciences
{\displaystyle F_{0}} and log change is F 1 {\displaystyle F_{1}} . Approximation error Errors and residuals in statistics Relative standard deviation Logarithmic scale
Relative_change
Measure of the joint variability
-1 and 1 by dividing by the geometric mean of the total variances (i.e., the product of the standard deviations) for the two random variables. A distinction
Covariance
Data visualization
samples independently from their mean values, it is more appropriate to look at the ratio of the pairs of measurements. Log transformation (base 2) of the
Bland–Altman_plot
Mathematical function, inverse of an exponential function
formula: log b x = log 10 x log 10 b = log e x log e b . {\displaystyle \log _{b}x={\frac {\log _{10}x}{\log _{10}b}}={\frac {\log _{e}x}{\log _{e}b}}
Logarithm
Averages of repeated trials converge to the expected value
will tend toward zero (standard deviation asymptotic to 1 / 2 log log log n {\textstyle 1/{\sqrt {2\log \log \log n}}} ), but for a given ε, there
Law_of_large_numbers
Type of statistics
distribution, and 5% a normal distribution with the same mean but significantly higher standard deviation (representing outliers). Robust parametric statistics
Robust_statistics
Measure of linear correlation
standard deviations. The formal definition involves a "product moment", that is, the mean (the first moment about the origin) of the product of the mean-adjusted
Pearson correlation coefficient
Pearson_correlation_coefficient
Statistical hypothesis test
{n}}}},} where x ¯ {\displaystyle {\bar {x}}} is the sample mean, s is the sample standard deviation and n is the sample size. The degrees of freedom used in
Student's_t-test
Statistical test
the population standard deviation. Next calculate the z-score, which is the distance from the sample mean to the population mean in units of the standard
Z-test
Hypothesis test to compare the survival distributions of two samples
then the logrank statistic is approximately normal with mean ( log λ ) n d 4 {\displaystyle (\log {\lambda })\,{\sqrt {\frac {n\,d}{4}}}} and variance
Logrank_test
Estimate of an interval in which future observations will fall
credible intervals may be used to estimate the population mean μ and population standard deviation σ of the underlying population, while prediction intervals
Prediction_interval
Graphical representation of the distribution of numerical data
which is less sensitive than the standard deviation to outliers in data. This approach of minimizing integrated mean squared error from Scott's rule can be
Histogram
Concept in signal processing
n]\right|^{2}}{\sum _{m=0}^{M-1}\sum _{n=0}^{N-1}\left|x[m,n]\right|^{2}}}} Root-mean-square deviation is derived from MSE by taking the square root of the MSE. It downscale
Similarity (signal processing)
Similarity_(signal_processing)
Statistical distance measure
standard deviations away P {\displaystyle P} is from the mean of D {\displaystyle D} . This distance is zero for P {\displaystyle P} at the mean of D {\displaystyle
Mahalanobis_distance
Non-informative prior distribution
the Jeffreys prior for the standard deviation σ > 0 {\textstyle \sigma >0} is p ( σ ) ∝ I ( σ ) = E [ ( d d σ log f ( x ∣ σ ) ) 2 ] = E [ ( ( x − μ
Jeffreys_prior
Statistical test that compares goodness of fit
normally-distributed. Both the mean, μ, and the standard deviation, σ, of the population are unknown. We want to test whether the mean is equal to a given value
Likelihood-ratio_test
Type of statistical measure over subsets of a dataset
a moving average (rolling average or running average or moving mean or rolling mean) is a calculation to analyze data points by creating a series of
Moving_average
Type of radio propagation model
distribution with σ {\displaystyle \sigma } standard deviation in decibels, resulting in a log-normal distribution of the received power in watts. In
Log-distance_path_loss_model
Problem in statistical estimation
m+{\frac {m\ln(2)}{k-1}}} and the following approximations for the mean and standard deviation: N ≈ μ ± σ = 89 ± 50 , μ = ( m − 1 ) k − 1 k − 2 , σ = ( k −
German_tank_problem
Type of statistical probability
{\displaystyle {\bar {X}}} and S {\displaystyle S} denote the sample mean and standard deviation of the log-transformed data for a sample of size n, a 95% confidence
Tolerance_interval
Measure of the asymmetry of random variables
{\displaystyle \mu } is the mean, ν {\displaystyle \nu } is the median, and σ {\displaystyle \sigma } is the standard deviation, the skewness is defined
Skewness
Set of quantities in probability theory
⋯ + X m ( t ) = log E [ e t ( X 1 + ⋯ + X m ) ] = log ( E [ e t X 1 ] ⋯ E [ e t X m ] ) = log E [ e t X 1 ] + ⋯ + log E [ e t X m ]
Cumulant
Functional relationship between two quantities
terms that are constant, log, and log-squared. When the mean is small and variance is large, the constant in front of the log-squared term is very small
Power_law
Variable used for specification
base-b logarithm by the formula log b ( x ) = log ( x ) log ( b ) {\displaystyle \log _{b}(x)={\frac {\log(x)}{\log(b)}}} where b is a parameter that
Parameter
Particular case of the generalized extreme value distribution
-\ln(\ln(2))\approx 0.3665} , the mean is γ ≈ 0.5772 {\displaystyle \gamma \approx 0.5772} (the Euler–Mascheroni constant), and the standard deviation is π / 6 ≈ 1.2825
Gumbel_distribution
Distribution of an uncertain quantity
tomorrow in St. Louis, to use a normal distribution with mean 50 degrees Fahrenheit and standard deviation 40 degrees, which very loosely constrains the temperature
Prior_probability
Statistical model for count data
offset(log(exposure)) + x, family=poisson(link=log) ) A characteristic of the Poisson distribution is that its mean is equal to its variance. In certain circumstances
Poisson_regression
Type of statistics
of central tendency include the mean, median and mode, while measures of variability include the standard deviation (or variance), the minimum and maximum
Descriptive_statistics
Formal IT practice
Infrastructure or the delivery of IT service and evaluation of the impact a deviation might cause to the services. Events are typically notifications created
Event_management_(ITIL)
Data clustering algorithm
to minimize each class's average square deviation from the class mean, while maximizing each class's deviation from the means of the other classes. In
Jenks natural breaks optimization
Jenks_natural_breaks_optimization
Distinction between nominal, ordinal, interval and ratio variables
also allowed, but not the mean), and the appropriate measure of dispersion is percentile or quartile (the standard deviation is not allowed). Those restrictions
Level_of_measurement
Probability distribution
(N\alpha -m)}{\Gamma (N\alpha )}}y^{m}} which shows that the mean ± standard deviation estimate of the posterior distribution for θ is y N α − 1 ± y
Gamma_distribution
Number of occurrences in an experiment or study
on raw data. There are simple algorithms to calculate median, mean, standard deviation etc. from these tables. Statistical hypothesis testing is founded
Frequency_(statistics)
Range to estimate an unknown parameter
since it entails calculating the sample mean X ¯ {\displaystyle {\bar {X}}} and sample standard deviation S {\displaystyle S} and using the asymptotically
Confidence_interval
Function related to statistics and probability theory
with: log L ( α , β ∣ x ) = α log β − log Γ ( α ) + ( α − 1 ) log x − β x . {\displaystyle \log {\mathcal {L}}(\alpha ,\beta \mid x)=\alpha \log \beta
Likelihood_function
Probability of survival beyond any specified time
distribution, for example, is defined by the two parameters mean and standard deviation. Survival functions that are defined by parameters are said to
Survival_function
Statistical property
squared-error loss function (among mean-unbiased estimators), as observed by Gauss. A minimum-average absolute deviation median-unbiased estimator minimizes
Bias_of_an_estimator
Mathematical function of two positive real arguments
In mathematics, the arithmetic–geometric mean (AGM or agM) of two positive real numbers x and y is the mutual limit of a sequence of arithmetic means and
Arithmetic–geometric_mean
Single measure of some attribute of a sample
statistics. Some include: Sample mean, sample median, and sample mode Sample variance and sample standard deviation Sample quantiles besides the median
Statistic
Detailed record of borehole contents
exponent) for a pressure pack log. Other information that is normally notated on a mud log include directional data (deviation surveys), weight on bit, rotary
Well_logging
Probability distribution
log-Cauchy distribution are finite. The mean is a moment so the log-Cauchy distribution does not have a defined mean or standard deviation. The log-Cauchy
Log-Cauchy_distribution
Fundamental theorem in probability theory and statistics
appropriate conditions, the distribution of a normalized version of the sample mean converges to a standard normal distribution. This holds even if the original
Central_limit_theorem
Estimator for quality of a statistical model
the two populations as having potentially different means and standard deviations. The likelihood function for the first model is thus the product of the
Akaike_information_criterion
Probability distribution of the possible sample outcomes
simulations, bootstrap methods, or asymptotic distribution theory. The standard deviation of the sampling distribution of a statistic is referred to as the standard
Sampling_distribution
MEAN LOG-DEVIATION
MEAN LOG-DEVIATION
Male
English
 English short form of Spanish Alonso, LON means "noble and ready." Compare with another form of Lon.
Female
English
Scottish form of French Jeanne, JEAN means "God is gracious." Compare with masculine Jean.
Male
French
A derivative of Anglo-Norman French Jehan, JEAN means "God is gracious." Compare with feminine Jean.
Surname or Lastname
English
English : topographic name from Middle English dene ‘valley’ (Old English denu), or a habitational name from any of several places in various parts of England named Dean, Deane, or Deen from this word. In Scotland this is a habitational name from Den in Aberdeenshire or Dean in Ayrshire.English : occupational name for the servant of a dean or nickname for someone thought to resemble a dean. A dean was an ecclesiastical official who was the head of a chapter of canons in a cathedral. The Middle English word deen is a borrowing of Old French d(e)ien, from Latin decanus (originally a leader of ten men, from decem ‘ten’), and thus is a cognate of Deacon.Irish : variant of Deane.Italian : occupational name cognate with 2, from Venetian dean ‘dean’, a dialect form of degan, from degano (Italian decano).
Biblical
the multitude of Gog
Male
Hebrew
Short form of Hebrew Immanuw'el (English Immanuel), MAN means "God is with us."
Male
English
Anglicized form of Irish Gaelic Cian, KEAN means "ancient, distant."
Male
English
Anglicized form of Irish Gaelic Seán, SEAN means "God is gracious."
Male
Greek
(Λώτ) Greek form of Hebrew Lowt, LOT means "covering, veil." In the bible, this is the name of a nephew of Abraham and father of Moab.
Surname or Lastname
Irish
Irish : shortened form of McMeans.English : habitational names from East and West Meon in Hampshire, which take their names from the Meon river. The word is Celtic but of uncertain meaning, possibly ‘swift one’.nickname from Middle English mene ‘inferior in rank’, ‘of low degree’ (from Old English gemǣne), or from Middle English mene ‘moderate in behaviour’ (from Old French mëen, mean).
Male
French
 French form of Latin Eligius, ÉLOY means "to choose."
Male
English
English unisex short form of French Louis and Louise, both LOU means "famous warrior."Â
Boy/Male
French, German, Polish
Long
Surname or Lastname
French
French : from the personal name Jean, French form of
John.English : variant of Jayne.A Vivien Jean, recorded in Canada in 1681, was also known as
Male
English
 English occupational surname transferred to forename use, from the Latin word decanus, DEAN means "dean; ecclesiastical supervisor."
Female
English
Pet form of Welsh Mared, MEGAN means "pearl."Â
Male
French
French form of Latin Eligius, ÉLOI means "to choose."
Girl/Female
Biblical
The multitude of Gog.
Surname or Lastname
English and French
English and French : nickname for a tall person, from Old English lang, long, Old French long ‘long’, ‘tall’ (equivalent to Latin longus).Irish (Ulster (Armagh) and Munster) : reduced Anglicized form of Gaelic Ó Longáin (see Langan).Chinese : from the name of an official treasurer called Long, who lived during the reign of the model emperor Shun (2257–2205 bc). his descendants adopted this name as their surname. Additionally, a branch of the Liu clan (see Lau 1), descendants of Liu Lei, who supposedly had the ability to handle dragons, was granted the name Yu-Long (meaning roughly ‘resistor of dragons’) by the Xia emperor Kong Jia (1879–1849 bc). Some descendants later simplified Yu-Long to Long and adopted it as their surname.Chinese : there are two sources for this name. One was a place in the state of Lu in Shandong province during the Spring and Autumn period (722–481 bc). The other source is the Xiongnu nationality, a non-Han Chinese people.Chinese : variant of Lang.Cambodian : unexplained.
Female
Spanish
Spanish form of Greek Lois, possibly LOÃDA means "agreeable."
MEAN LOG-DEVIATION
MEAN LOG-DEVIATION
Boy/Male
Tamil
Lord Shiva, The name of the God Shiva from the place thiruvarur
Girl/Female
Indian
Minor deity
Girl/Female
Hindu
Boy/Male
Scandinavian
Rules his household.
Boy/Male
Celtic
Mythical warrior.
Boy/Male
Tamil
Thangabalu | தாநà¯à®•à®ªà®²à¯à®‚
Golden
Boy/Male
Tamil
Adorning, Loving
Girl/Female
Arabic, Farsi, Iranian, Muslim
Sweet
Girl/Female
Celebrity, Gujarati, Hindu, Indian, Kannada, Sanskrit, Tamil, Traditional
Atractive; Splendid; Similar to Shobhana
Boy/Male
Hindu
MEAN LOG-DEVIATION
MEAN LOG-DEVIATION
MEAN LOG-DEVIATION
MEAN LOG-DEVIATION
MEAN LOG-DEVIATION
superl.
Of poor quality; as, mean fare.
n.
Hence: The record of the rate of ship's speed or of her daily progress; also, the full nautical record of a ship's cruise or voyage; a log slate; a log book.
superl.
Penurious; stingy; close-fisted; illiberal; as, mean hospitality.
a.
Of a mean spirit; base; groveling.
superl.
Destitute of distinction or eminence; common; low; vulgar; humble.
a.
Average; having an intermediate value between two extremes, or between the several successive values of a variable quantity during one cycle of variation; as, mean distance; mean motion; mean solar day.
superl.
Not rising to the usual height; as, a man of low stature; a low fence.
v. i.
Wanting fullness, richness, sufficiency, or productiveness; deficient in quality or contents; slender; scant; barren; bare; mean; -- used literally and figuratively; as, the lean harvest; a lean purse; a lean discourse; lean wages.
v. t.
To enter in a ship's log book; as, to log the miles run.
n.
A part of the log. See Log-chip, and 2d Log, n., 2.
adv.
In a low mean condition; humbly; meanly.
v. t.
To have in the mind, as a purpose, intention, etc.; to intend; to purpose; to design; as, what do you mean to do ?
imp. & p. p.
of Mean
v. i.
To engage in the business of cutting or transporting logs for timber; to get out logs.
a.
Last; long-delayed; -- obsolete, except in the phrase lag end.
superl.
Mean; vulgar; base; dishonorable; as, a person of low mind; a low trick or stratagem.
v.
A weight, as a log or block of wood, attached to a man or an animal to hinder motion.
superl.
Wanting dignity of mind; low-minded; base; destitute of honor; spiritless; as, a mean motive.
n.
A quantity having an intermediate value between several others, from which it is derived, and of which it expresses the resultant value; usually, unless otherwise specified, it is the simple average, formed by adding the quantities together and dividing by their number, which is called an arithmetical mean. A geometrical mean is the square root of the product of the quantities.