Adjectives for Sampling

Adjectives For Sampling

Discover the most popular adjectives for describing sampling, complete with example sentences to guide your usage.

Updated on March 16, 2024

Selecting the right adjective to describe sampling can significantly alter the perception of data collection methods. A random sampling introduces the idea of unpredictability, ensuring every element has an equal chance of selection. Stratified sampling, on the other hand, suggests a methodical approach to ensure subgroups are properly represented. Systematic sampling indicates a fixed, orderly process, while simple suggests ease and basic functionality. Representative sampling emphasizes the desire to accurately mirror the whole population, whereas small sampling points to a more manageable, but maybe less generalizable, subset. Such nuances highlight the importance of precise adjective choice in conveying the scope and intent of sampling methods. Explore the full range of adjectives for more insights.
randomThe simple random sampling method is straightforward and widely used.
stratifiedStratified sampling involves dividing a population into several strata or subgroups, ensuring each subgroup is represented proportionally in the sample.
systematicSystematic sampling involves selecting a sample from a population according to a fixed sampling interval.
simpleSimple sampling is a type of non-probability sampling that is used to select a sample from a population.
representativeThe representative sampling method provides a reliable snapshot of population characteristics.
smallWith small sampling of data analysis, the team was able to make a wise business decision.
statisticalWe employed statistical sampling to select a representative group of respondents.
fetalFetal sampling is a procedure used to obtain cells or fluid from a fetus for diagnostic purposes.
adequateThe research conducted included adequate sampling to provide a representative perspective.
theoreticalResearchers used theoretical sampling to select participants who represented the diversity of perspectives on the phenomenon of interest.
purposivePurposive sampling is a qualitative research method that involves selecting participants who have the specific knowledge or experience that is relevant to the research question.
sequentialSequential sampling is a statistical method used to make decisions based on a sequence of observations.
double"Double sampling" is a technique used in statistics to estimate the mean or proportion of a population based on two samples.
stageWe are using stage sampling to select our sample of students.
continuousContinuous sampling is widely used in market research and data analytics.
extensiveThe extensive sampling of the data revealed several interesting patterns.
directWe collected soil samples using direct sampling methods.
selectiveThe researcher used selective sampling to interview only the most experienced employees.
frequentFrequent sampling ensured that the data collected was representative of the population.
chorionicChorionic sampling is a prenatal diagnostic procedure that involves taking a sample of tissue from the outer layer of the placenta.
spatialThe spatial sampling method was applied to estimate the mean concentration of the pollutant.
limitedEven with limited sampling the results of the study were statistically significant.
fairThe fair sampling method was used to select a representative sample from the population.
inadequateThe study had to be discontinued due to inadequate sampling
periodicPeriodic sampling of the stream was conducted to assess the concentration of pollutants.
venousThe venous sampling results indicated a high concentration of bilirubin in the patient's blood.
endometrial
multipleTo ensure the representativeness of the data, multiple sampling techniques were implemented throughout the study.
adaptiveResearchers used adaptive sampling to collect data from a large and diverse population.
arterialArterial sampling revealed significant metabolic acidosis in the patient.
nonprobabilityWe used nonprobability sampling to select the participants for our study.
uniformUniform sampling is a sampling method where all samples are taken with an equal probability.
briefA brief sampling of the data showed that the results were promising.
environmentalEnvironmental sampling is the collection and analysis of samples from the environment to assess the presence and concentration of pollutants.
carefulCareful sampling is essential for obtaining accurate data.
wideThe wide sampling of data yielded a more accurate analysis.
broadThe research team conducted a broad sampling of the population to ensure accurate results.
umbilicalUmbilical sampling offers a slightly more accurate prediction of the pH in the fetus's bloodstream.
properProper sampling requires the selection of a representative subset of the population.
intensiveThe researchers conducted intensive sampling of the population to obtain a representative sample.
routineRoutine sampling helped identify the problem early.
percutaneousA percutaneous sampling of the kidney was performed to obtain a tissue sample for diagnosis.
quantitativeQuantitative sampling methods involve the selection of a sample of the population that is representative of the entire population in terms of its characteristics.
regularRegular sampling is crucial for effective monitoring and data collection.
subThe sub sampling technique is used in machine learning to reduce the size of a dataset.
clusterCluster sampling is a sampling technique in which the population is divided into groups (clusters) and a random sample of clusters is selected for study.
generousThe generous sampling of appetizers satisfied our hunger.
accurateThe accurate sampling of data is essential for reliable analysis and decision-making.
discreteThe research team used discrete sampling to collect data from the population.
scientificThe scientific sampling method was used to ensure that the data collected was representative of the population.
basedResearchers used based sampling to select 100 participants from a population of 500.
proportionalProportional sampling guarantees that each participant has an equal chance of getting selected to participate in research.
repeatedRepeated sampling is a statistical technique used to improve the accuracy and reliability of estimates.
digitalDigital sampling is a powerful technique for analyzing signals and data.
isokineticConducting isokinetic sampling requires training in proper sampling techniques.
independentThe samples were collected using independent sampling
disproportionateDisproportionate sampling is a sampling method in which the sample is not representative of the population.
simultaneousThe simultaneous sampling of multiple variables allows for the creation of a more comprehensive data set.
timeThe researchers conducted time sampling to observe the behavior of the participants.
detailedResearchers performed detailed sampling of the local flora and fauna.
serialSerial sampling is a research method that involves collecting data from the same participants multiple times over time.
intervalWe used momentary time sampling and interval sampling to record the behaviors.
multistageThe multistage sampling method involves selecting a sample from a larger population in multiple stages.
destructiveDestructive sampling was conducted to determine the chemical composition of the rock.
purposefulThe researchers decided to use purposeful sampling to select participants who had a specific set of experiences or characteristics.
eventEvent sampling is a research method in which data is collected at regular intervals from a representative sample of the population.
temporalTemporal sampling is a technique used to collect data at specific intervals.
stochasticStochastic sampling is a random sampling method that can be used to select a representative sample from a population.
petrosalThe petrosal sampling was completed without complications.
adrenalAdrenal sampling is a procedure used to collect adrenal hormones for analysis.
biologicalThe biological sampling process can be used to collect data on a wide range of biological parameters.
bloodThe medical assistant drew the patient's blood for blood sampling
overIn order to reduce variance, we are using over sampling
proportionateThe market researcher employed proportionate sampling to ensure that the sample accurately represented the population.
thoroughResearchers conducted a thorough sampling of the population to ensure accurate representation.
correctThe correct sampling method was used to ensure accurate data.
intermittentThe research team conducted intermittent sampling of the river water to monitor pollution levels.
compositeComposite sampling allowed for a more accurate representation of the overall population being studied.
automaticAutomatic sampling allows for consistent and unbiased data collection.
efficientTo ensure efficient sampling we need to determine the minimum sample size needed to achieve the desired level of precision.
incompleteDue to incomplete sampling the results of the study may not be generalizable to the entire population.
preliminaryPreliminary sampling of the data revealed several interesting patterns.

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