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SAMPLING ERROR

  • Sampling error
  • Statistical error

    In statistics, sampling errors are incurred when the statistical characteristics of a population are estimated from a subset, or sample, of that population

    Sampling error

    Sampling_error

  • Standard error
  • Statistical property

    standard error is often used in calculations of confidence intervals. The sampling distribution of a mean is generated by repeated sampling from the same

    Standard error

    Standard error

    Standard_error

  • Sampling (statistics)
  • Selection of data points in statistics

    number sampling Sample size determination Sampling (case studies) Sampling bias Sampling distribution Sampling error Sortition Survey sampling The textbook

    Sampling (statistics)

    Sampling (statistics)

    Sampling_(statistics)

  • Non-sampling error
  • systematic errors and random errors that are not due to sampling. Non-sampling errors are much harder to quantify than sampling errors. Non-sampling errors in

    Non-sampling error

    Non-sampling_error

  • Margin of error
  • Statistic expressing the amount of random sampling error in a survey's results

    The margin of error is a statistic expressing the amount of random sampling error in the results of a survey. The larger the margin of error, the less confidence

    Margin of error

    Margin of error

    Margin_of_error

  • Stratified sampling
  • Sampling from a population which can be partitioned into subpopulations

    In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations. In statistical surveys, when

    Stratified sampling

    Stratified sampling

    Stratified_sampling

  • Convenience sampling
  • Sampling from the part of the population close at hand

    sampling (also known as grab sampling, accidental sampling, or opportunity sampling) is a type of non-probability sampling that involves the sample being

    Convenience sampling

    Convenience_sampling

  • Survey sampling
  • Statistical selection process

    based on probability sampling have greater difficulty measuring their bias or sampling error. Surveys based on non-probability samples often fail to represent

    Survey sampling

    Survey_sampling

  • Gy's sampling theory
  • to Poisson sampling. Using this model, the following equation for the variance of the sampling error in the mass concentration in a sample was derived

    Gy's sampling theory

    Gy's_sampling_theory

  • Cluster sampling
  • Sampling methodology in statistics

    In statistics, cluster sampling is a sampling plan used when mutually homogeneous yet internally heterogeneous groupings are evident in a statistical population

    Cluster sampling

    Cluster sampling

    Cluster_sampling

  • Generalization error
  • Measure of algorithm accuracy

    on finite samples, the evaluation of a learning algorithm may be sensitive to sampling error. As a result, measurements of prediction error on the current

    Generalization error

    Generalization_error

  • Errors and residuals
  • Statistics concept

    errors and residuals are two closely related and easily confused measures of the deviation of an observed value of an element of a statistical sample

    Errors and residuals

    Errors_and_residuals

  • Genetic drift
  • Concept in genetics

    accidents of sampling, tends to lead to confusion". Sewall Wright considered the process of random genetic drift by means of sampling error equivalent to

    Genetic drift

    Genetic_drift

  • Total survey error
  • In survey sampling, Total Survey Error includes all forms of survey error including sampling variability, interviewer effects, frame errors, response

    Total survey error

    Total_survey_error

  • Sampling (signal processing)
  • Measurement of a signal at discrete time intervals

    {\displaystyle T} seconds, which is called the sampling interval or sampling period. Then the sampled function is given by the sequence: s ( n T ) {\displaystyle

    Sampling (signal processing)

    Sampling (signal processing)

    Sampling_(signal_processing)

  • Observational error
  • Difference between a measured value of a quantity and its true value

    sometimes used to refer to response errors and some other types of non-sampling error. In survey-type situations, these errors can be mistakes in the collection

    Observational error

    Observational_error

  • Coverage error
  • survey sampling, a sampling frame is the list of sampling units from which samples of a target population are drawn. Coverage error results when there

    Coverage error

    Coverage error

    Coverage_error

  • Nyquist–Shannon sampling theorem
  • Sufficiency theorem for reconstructing signals from samples

    uniformly spaced (periodic) sampling, it establishes a sufficient condition on the sample rate that permits a discrete sequence of samples to capture all the information

    Nyquist–Shannon sampling theorem

    Nyquist–Shannon sampling theorem

    Nyquist–Shannon_sampling_theorem

  • Sampling distribution
  • Probability distribution of the possible sample outcomes

    contexts, only one sample (i.e., a set of observations) is observed, but the sampling distribution can be found theoretically. Sampling distributions are

    Sampling distribution

    Sampling_distribution

  • Opinion poll
  • Human research survey of public opinion

    based on samples of populations are subject to sampling error which reflects the effects of chance and uncertainty in the sampling process. Sampling polls

    Opinion poll

    Opinion poll

    Opinion_poll

  • Mixture
  • Substance formed when two or more constituents are physically combined

    from the Poisson sampling model, the following formula for the variance of the sampling error in the mass concentration in a sample: V = 1 ( ∑ i = 1 N

    Mixture

    Mixture

  • Bootstrapping (statistics)
  • Statistical method

    prediction error, etc.) to sample estimates. This technique allows estimation of the sampling distribution of almost any statistic using random sampling methods

    Bootstrapping (statistics)

    Bootstrapping_(statistics)

  • Cross-validation (statistics)
  • Statistical model validation technique

    random sub-sampling is RANSAC. When cross-validation is used simultaneously for selection of the best set of hyperparameters and for error estimation

    Cross-validation (statistics)

    Cross-validation (statistics)

    Cross-validation_(statistics)

  • Standard deviation
  • Measure of variation in statistics

    safeguard against spurious conclusion that is really due to random sampling error. Suppose that the entire population of interest is eight students in

    Standard deviation

    Standard deviation

    Standard_deviation

  • Sampling design
  • finite population sampling, a sampling design specifies for every possible sample its probability of being drawn. Mathematically, a sampling design is denoted

    Sampling design

    Sampling_design

  • Sample size determination
  • Statistical considerations on how many observations to make

    complicated sampling techniques, such as stratified sampling, the sample can often be split up into sub-samples. Typically, if there are H such sub-samples (from

    Sample size determination

    Sample_size_determination

  • Statistics
  • Study of collection and analysis of data

    observational errors, sampling variation). Descriptive statistics are most often concerned with two sets of properties of a distribution (sample or population):

    Statistics

    Statistics

    Statistics

  • Bias (statistics)
  • Systemic inaccuracy

    In this scenario, the bias can be addressed by broadening the sample. This sampling error is only one of the ways in which data can be biased. Bias can

    Bias (statistics)

    Bias_(statistics)

  • Likelihood-ratio test
  • Statistical test that compares goodness of fit

    the observed data, the two likelihoods should not differ by more than sampling error. Thus the likelihood-ratio test tests whether this ratio is significantly

    Likelihood-ratio test

    Likelihood-ratio_test

  • Audit risk
  • Risk of an incorrect report

    to detect existence of a material error or fraud. Detection risk may be due to sampling error or non-sampling error. Audit risk can be calculated as:

    Audit risk

    Audit_risk

  • Frauke Kreuter
  • German sociologist and statistician

    Germany. Her research in survey methodology includes work on sampling error and observational error. Kreuter earned a diploma in sociology from the University

    Frauke Kreuter

    Frauke_Kreuter

  • Bernoulli sampling
  • Sampling technique

    In the theory of finite population sampling, Bernoulli sampling is a sampling process where each element of the population is subjected to an independent

    Bernoulli sampling

    Bernoulli_sampling

  • Parallel analysis
  • Statistical method

    the Kaiser criterion, arguing that sampling error and least-squares capitalization inflate eigenvalues in sample data, causing the Kaiser rule to overestimate

    Parallel analysis

    Parallel_analysis

  • Mean squared error
  • Measure of the error of an estimator

    sample statistic and is used to estimate some population parameter, then the expectation is with respect to the sampling distribution of the sample statistic

    Mean squared error

    Mean_squared_error

  • Out-of-bag error
  • Method of measuring prediction error

    bootstrap sample, is the data chosen to be "in-the-bag" by sampling with replacement. The out-of-bag set is all data not chosen in the sampling process

    Out-of-bag error

    Out-of-bag_error

  • Type I and type II errors
  • Concepts from statistical hypothesis testing

    Type I error, or a false positive, is the incorrect rejection of a true null hypothesis in statistical hypothesis testing. A type II error, or a false

    Type I and type II errors

    Type_I_and_type_II_errors

  • Score test
  • Statistical test based on the gradient of the likelihood function

    function, the score should not differ from zero by more than sampling error. While the finite sample distributions of score tests are generally unknown, they

    Score test

    Score_test

  • Statistical significance
  • Concept in inferential statistics

    involves drawing a sample from a population, there is always the possibility that an observed effect would have occurred due to sampling error alone. But if

    Statistical significance

    Statistical_significance

  • Saturday Night Massacre
  • Resignations during the Watergate scandal

    impeaching Nixon, with 44% in favor, 43% opposed, and 13% undecided, with a sampling error of 2 to 3 percent. Nixon felt political pressure to allow Bork to appoint

    Saturday Night Massacre

    Saturday Night Massacre

    Saturday_Night_Massacre

  • McDonald–Kreitman test
  • Biological test for adaptive evolution

    any number between -∞ and 1. Negative values of alpha are produced by sampling error or violations of the model, such as the segregation of slightly deleterious

    McDonald–Kreitman test

    McDonald–Kreitman_test

  • Scientific protocol
  • Procedural method for the design and implementation of an experiment

    Magnetism Sample (statistics) Sample size Sampling error Scientific control Standard deviation Statistical population Survey sampling Systematic error Hinkelmann

    Scientific protocol

    Scientific_protocol

  • Importance sampling
  • Distribution estimation technique

    sampling is also related to umbrella sampling in computational physics. Depending on the application, the term may refer to the process of sampling from

    Importance sampling

    Importance_sampling

  • Questionnaire
  • Series of questions for gathering information

    they affect the level of measurement error. Further, if the questionnaires are not collected using sound sampling techniques, often the results can be

    Questionnaire

    Questionnaire

    Questionnaire

  • Power (statistics)
  • Term in statistical hypothesis testing

    factors lead to an expected amount of sampling error. A smaller sampling error could be obtained by larger sample sizes from a less variability population

    Power (statistics)

    Power_(statistics)

  • Quantization (signal processing)
  • Process of mapping a continuous set to a countable set

    analog-to-digital converter (ADC) can be modeled as two processes: sampling and quantization. Sampling converts a time-varying voltage signal into a discrete-time

    Quantization (signal processing)

    Quantization (signal processing)

    Quantization_(signal_processing)

  • Detection risk
  • Financial Statements. Investopedia Staff (14 August 2010). "Detection Risk". Retrieved 14 November 2017. Audit risk Sampling error Non-sampling error

    Detection risk

    Detection_risk

  • Error correction code
  • Scheme for controlling errors in data over noisy communication channels

    theory, and coding theory, forward error correction (FEC) or channel coding is a technique used for controlling errors in data transmission over unreliable

    Error correction code

    Error_correction_code

  • Mean absolute error
  • Statistical error measure

    measurement. MAE is calculated as the sum of absolute errors (i.e., the Manhattan distance) divided by the sample size: M A E = ∑ i = 1 n | y i − x i | n = ∑ i

    Mean absolute error

    Mean_absolute_error

  • Error exponents in hypothesis testing
  • with the size of the sample used in the test. For example, if the probability of error P e r r o r {\displaystyle P_{\mathrm {error} }} of a test decays

    Error exponents in hypothesis testing

    Error_exponents_in_hypothesis_testing

  • Stratified randomization
  • Method of statistical sampling

    clear distinctions during sampling. This sampling method should be distinguished from cluster sampling, where a simple random sample of several entire clusters

    Stratified randomization

    Stratified randomization

    Stratified_randomization

  • Clustered standard errors
  • Statistical measure

    ("clusters") and where the sampling and/or treatment assignment is correlated within each group. Clustered standard errors are widely used in a variety

    Clustered standard errors

    Clustered_standard_errors

  • Bureau of Labor Statistics
  • US government agency

    survey, like other sample surveys, is subject to two types of error: sampling and nonsampling error. The magnitude of sampling error, or variance, is directly

    Bureau of Labor Statistics

    Bureau of Labor Statistics

    Bureau_of_Labor_Statistics

  • Weighted least squares
  • Method for model fitting in statistics

    systematic error into account. Also, parameter errors should be quoted to one significant figure only, as they are subject to sampling error. When the

    Weighted least squares

    Weighted_least_squares

  • Glossary of probability and statistics
  • sampling bias sampling distribution The probability distribution, obtained by repeated sampling of the population, of a given statistic. sampling error

    Glossary of probability and statistics

    Glossary_of_probability_and_statistics

  • Value at risk
  • Estimated potential loss for an investment under a given set of conditions

    VaR breaks will equal the specified probability, within the limits of sampling error, and that the VaR breaks will be independent in time and independent

    Value at risk

    Value at risk

    Value_at_risk

  • Weighted arithmetic mean
  • Statistical amount

    with fixed sample size, or varied sample size sampling (e.g.: Poisson sampling). The probability of some element to be chosen, given a sample, is denoted

    Weighted arithmetic mean

    Weighted_arithmetic_mean

  • Unmatched count
  • Technique in psychology and social research

    number of people bearing the property of interest and leads to a larger sampling error than direct questions. It was introduced by D. Raghavarao and Walter

    Unmatched count

    Unmatched_count

  • Sampling bias
  • Bias in the sampling of a population

    found in the sample at hand. In this sense, errors occurring in the process of gathering the sample or cohort cause sampling bias, while errors in any process

    Sampling bias

    Sampling bias

    Sampling_bias

  • List of statistics articles
  • Sampling design Sampling distribution Sampling error Sampling fraction Sampling frame Sampling probability Sampling risk Samuelson's inequality Sargan test

    List of statistics articles

    List_of_statistics_articles

  • Replicate (biology)
  • Biological process

    component of experimental design because they provide an estimate of between sample error. Without replicates, scientists are unable to assess whether observed

    Replicate (biology)

    Replicate_(biology)

  • Logistic regression
  • Statistical model for a binary dependent variable

    outcomes. This is also retrospective sampling, or equivalently it is called unbalanced data. As a rule of thumb, sampling controls at a rate of five times

    Logistic regression

    Logistic regression

    Logistic_regression

  • Statistics New Zealand
  • National statistical service of New Zealand

    itself in sampling error when we use samples for cost-effectiveness reasons to estimate characteristics about a population. Sampling errors are relatively

    Statistics New Zealand

    Statistics New Zealand

    Statistics_New_Zealand

  • Quantum supremacy
  • Computational benchmark

    measurements in boson sampling or quantum random circuit sampling are flat, but structured in a way so that one cannot classically efficiently sample from a distribution

    Quantum supremacy

    Quantum_supremacy

  • Heteroskedasticity-consistent standard errors
  • Asymptotic variances under heteroskedasticity

    standard errors (or simply robust standard errors), Eicker–Huber–White standard errors (also Huber–White standard errors or White standard errors), to recognize

    Heteroskedasticity-consistent standard errors

    Heteroskedasticity-consistent_standard_errors

  • Snowball sampling
  • Nonprobability statistical sampling technique

    research, snowball sampling (or chain sampling, chain-referral sampling, referral sampling, qongqothwane sampling) is a nonprobability sampling technique where

    Snowball sampling

    Snowball_sampling

  • Informant (statistics)
  • Gradient of the likelihood function

    Since the score is a function of the observations, which are subject to sampling error, it lends itself to a test statistic known as score test in which the

    Informant (statistics)

    Informant_(statistics)

  • Latin hypercube sampling
  • Statistical sampling technique

    This sampling scheme does not require more samples for more dimensions (variables); this independence is one of the main advantages of this sampling scheme

    Latin hypercube sampling

    Latin_hypercube_sampling

  • Propagation of uncertainty
  • Effect of variables' uncertainties on the uncertainty of a function based on them

    distribution/statistics, are sampling techniques from the Monte Carlo method family. For very large datasets or complex functions, the calculation of the error propagation

    Propagation of uncertainty

    Propagation_of_uncertainty

  • Hydrocarbon dew point
  • Temperature at which hydrocarbons condense

    collected in a sample bottle and shipped to a laboratory for C12 analysis, sampling errors can be significant. Obviously there is also a lag time error between

    Hydrocarbon dew point

    Hydrocarbon_dew_point

  • Exploratory factor analysis
  • Statistical method in psychology

    "rather than generating random datasets, which only take into account sampling error, multiple datasets with known factorial structures are analyzed to determine

    Exploratory factor analysis

    Exploratory factor analysis

    Exploratory_factor_analysis

  • Root mean square deviation
  • Statistical measure

    the data sample that was used for estimation (and are therefore always in reference to an estimate) and are called errors (or prediction errors) when computed

    Root mean square deviation

    Root_mean_square_deviation

  • Programme for International Student Assessment (2000 to 2012)
  • Educational assessment and evaluation

    been lowered by a sampling error that over-represented adolescents from the most disadvantaged American schools in the test-taking sample. The authors cautioned

    Programme for International Student Assessment (2000 to 2012)

    Programme_for_International_Student_Assessment_(2000_to_2012)

  • Design effect
  • Statistical measure used in survey research

    known sampling design. Such procedures are used to mitigate issues in the sampling ranging from sampling error, under-coverage of the sampling frame to

    Design effect

    Design_effect

  • Simple random sample
  • Sampling technique

    random sampling is a basic type of sampling and can be a component of other more complex sampling methods. The principle of simple random sampling is that

    Simple random sample

    Simple_random_sample

  • Effective number of bits
  • Dynamic-range metric for digital systems

    may change by as much as 1 MV/s. A sampling time error of 1 ns would cause a sampling error of about 1 mV (an error in the 10th bit). If the frequency

    Effective number of bits

    Effective_number_of_bits

  • Monte Carlo integration
  • Numerical technique

    to improve the error estimates. In particular, stratified sampling—dividing the region in sub-domains—and importance samplingsampling from non-uniform

    Monte Carlo integration

    Monte Carlo integration

    Monte_Carlo_integration

  • Estimator
  • Rule for calculating an estimate of a given quantity based on observed data

    (than highly dispersed) around the target. For a given sample x {\displaystyle x} , the sampling deviation of the estimator θ ^ {\displaystyle {\widehat

    Estimator

    Estimator

  • Shroud of Turin
  • Cloth bearing the alleged image of Jesus

    Busson, P. "Sampling error?" Letter in Nature, Vol. 352, 18 July 1991, p. 187. Robert Villarreal, "Analytical Results On Thread Samples Taken From The

    Shroud of Turin

    Shroud of Turin

    Shroud_of_Turin

  • P–P plot
  • Probability plot which compares two cumulative distribution functions

    identify how different the distributions are, but because of sampling error, even samples drawn from identical distributions will not appear identical

    P–P plot

    P–P plot

    P–P_plot

  • Chroma subsampling
  • Practice of encoding color images

    Original still image. 4:2:0 progressive sampling applied to a still image. Both fields are shown. 4:2:0 interlaced sampling applied to a still image. Both fields

    Chroma subsampling

    Chroma subsampling

    Chroma_subsampling

  • Interval estimation
  • Interval bounded by an upper and a lower limit statistics

    planned such that the sampling error is statistical variability (a random error), as opposed to a statistical bias (a systematic error). After experimenting

    Interval estimation

    Interval_estimation

  • Replication crisis
  • Observed inability to reproduce scientific studies

    times larger than the random sampling variance of effect sizes measured in their study. If considered along sampling error, heterogeneity yields a standard

    Replication crisis

    Replication crisis

    Replication_crisis

  • Hassan Rouhani
  • President of Iran from 2013 to 2021

    following places. The firm stated with 95% confidence that the margin of sampling error was ±3 percentage points. Rouhani began his presidency in November 2013

    Hassan Rouhani

    Hassan Rouhani

    Hassan_Rouhani

  • Nyquist frequency
  • Maximum frequency of non-aliased component upon sampling

    frequency is half the sampling rate and corresponds to the highest frequency which a sampled data system can reproduce without error. James J. Condon & Scott

    Nyquist frequency

    Nyquist frequency

    Nyquist_frequency

  • Straw poll
  • Ad-hoc or unofficial vote

    the subset and the larger population; sampling error is constant across different poll methods with the same sample sizes. Selection bias, nonresponse bias

    Straw poll

    Straw_poll

  • Mean absolute scaled error
  • Measure of forecasting quality

    scaled error (MASE) is a measure of the accuracy of forecasts. It is the mean absolute error of the forecast values, divided by the mean absolute error of

    Mean absolute scaled error

    Mean_absolute_scaled_error

  • Epidemiology
  • Study of health and disease within a population

    random error in all sampling procedures – sampling error.[citation needed] Precision in epidemiological variables is a measure of random error. Precision

    Epidemiology

    Epidemiology

  • Bootstrap error-adjusted single-sample technique
  • In statistics, the bootstrap error-adjusted single-sample technique (BEST or the BEAST) is a non-parametric method that is intended to allow an assessment

    Bootstrap error-adjusted single-sample technique

    Bootstrap_error-adjusted_single-sample_technique

  • Ego depletion
  • Psychological theory

    studies could produce significant results only with the help of random sampling error. Based on the low power of studies, one would expect a large number

    Ego depletion

    Ego_depletion

  • Tolerance interval
  • Type of statistical probability

    interval's size is entirely due to sampling error, and will approach a zero-width interval at the true population parameter as sample size increases, a tolerance

    Tolerance interval

    Tolerance_interval

  • Statistical inference
  • Process of using data analysis for predicting population data from sample data

    also of importance: in survey sampling, use of sampling without replacement ensures the exchangeability of the sample with the population; in randomized

    Statistical inference

    Statistical_inference

  • Median
  • Middle quantile of a data set or probability distribution

    only if m is a minimizer of the mean absolute error with respect to X. In particular, if m is a sample median, then it minimizes the arithmetic mean of

    Median

    Median

    Median

  • Model collapse
  • Degradation of AI models trained on synthetic data

    approximation errors sampling errors learning errors Importantly, it happens in even the simplest of models, where not all of the error sources are present

    Model collapse

    Model_collapse

  • PID controller
  • Control loop feedback mechanism

    {\displaystyle e(t)} are discretized with a sampling period Δ t {\displaystyle \Delta t} , k is the sample index. Differentiating both sides of PID equation

    PID controller

    PID_controller

  • Sample mean and covariance
  • Statistics computed from a sample of data

    using the variance of the sample. If the sample is random, the standard error falls with the size of the sample and the sample mean's distribution approaches

    Sample mean and covariance

    Sample_mean_and_covariance

  • World Giving Index
  • Annual ranking of charitable giving by country

    country's telephone coverage. There is of course a margin of error (the amount of random sampling error) in the results for each country, which is calculated

    World Giving Index

    World_Giving_Index

  • Moe
  • Topics referred to by the same term

    software system sold by Chemical Computing Group Margin of error, the amount of random sampling error in the results of a survey Magpul Original Equipment,

    Moe

    Moe

  • Lymphovascular invasion
  • Penetration of a cancer into the blood and/or lymph vessels

    context of proven lymph node metastasis is usually thought to be due to sampling error. The predictive value and prevalence of lymphovascular invasion is strongly

    Lymphovascular invasion

    Lymphovascular invasion

    Lymphovascular_invasion

  • Analog-to-digital converter
  • System that converts an analog signal into a digital signal

    If an ADC operates at a sampling rate greater than twice the bandwidth of the signal, then per the Nyquist–Shannon sampling theorem, near-perfect reconstruction

    Analog-to-digital converter

    Analog-to-digital converter

    Analog-to-digital_converter

  • Statistical parameter
  • Quantity that indexes a parametrized family of probability distributions

    of the parameter based on a sample (such as the sample mean, which is the mean of gathered data per sampling, called sample). Thus a "statistical parameter"

    Statistical parameter

    Statistical_parameter

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Online names & meanings

  • Wakeley
  • Surname or Lastname

    English

    Wakeley

    English : habitational name from Wakeley in Hertfordshire, named from the Old English byname Waca, meaning ‘watchful’ (see Wake) + Old English lēah ‘woodland clearing’.

  • Dhaval
  • Boy/Male

    Hindu

    Dhaval

    Fair complexioned, White, Pure

  • Hammett
  • Boy/Male

    French, German

    Hammett

    From the Little Home

  • SANJAY
  • Male

    Hindi/Indian

    SANJAY

    (संजय) Hindi name SANJAY means "triumphant."

  • Ibaad
  • Boy/Male

    Indian

    Ibaad

    A worshipper

  • Petronia
  • Girl/Female

    Latin

    Petronia

    Rock.

  • Karanjit
  • Boy/Male

    Hindu, Indian

    Karanjit

    Who Win the War

  • RACHYL
  • Female

    English

    RACHYL

    Variant form of English Rachel, RACHYL means "ewe."

  • Adiy
  • Boy/Male

    Indian

    Adiy

    A companion of the prophet, Also the name of the son of Hatim tiay known for his generosity, Also the son of Thabit had this name

  • Theena
  • Boy/Male

    Indian, Tamil

    Theena

    A God

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Other words and meanings similar to

SAMPLING ERROR

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SAMPLING ERROR

  • Searcher
  • n.

    An implement for sampling butter; a butter trier.

  • Dicing
  • n.

    Gambling with dice.

  • Tamping
  • n.

    The material used in tamping. See Tamp, v. t., 1.

  • sapling
  • n.

    A young tree.

  • Skimble-scamble
  • a.

    Rambling; disorderly; unconnected.

  • Torgoch
  • n.

    The saibling.

  • Hell
  • v. t.

    A gambling house.

  • Rumpling
  • p. pr. & vb. n.

    of Rumple

  • Sailing
  • n.

    The art of managing a vessel; seamanship; navigation; as, globular sailing; oblique sailing.

  • Saddling
  • p. pr. & vb. n.

    of Saddle

  • Loose
  • superl.

    Unconnected; rambling.

  • Rimpling
  • p. pr. & vb. n.

    of Rimple

  • Rampler
  • a.

    Roving; rambling.

  • Dumpling
  • n.

    A roundish mass of dough boiled in soup, or as a sort of pudding; often, a cover of paste inclosing an apple or other fruit, and boiled or baked; as, an apple dumpling.

  • Rambling
  • a.

    Roving; wandering; discursive; as, a rambling fellow, talk, or building.

  • Tamper
  • n.

    An instrument used in tamping; a tamping iron.

  • Scambling
  • p. pr. & vb. n.

    of Scamble

  • Shambling
  • a.

    Characterized by an awkward, irregular pace; as, a shambling trot; shambling legs.

  • Trampling
  • p. pr. & vb. n.

    of Trample

  • Saibling
  • n.

    A European mountain trout (Salvelinus alpinus); -- called also Bavarian charr.