Ad
related to: free samples meaningcouponpac.com has been visited by 100K+ users in the past month
Search results
sam·ple
/ˈsampəl/noun
- 1. a small part or quantity intended to show what the whole is like: "investigations involved analyzing samples of handwriting" Similar
verb
- 1. take a sample or samples of (something) for analysis: "bone marrow cells were sampled"
Powered by Oxford Dictionaries
Results From The WOW.Com Content Network
Free samples. A free sample or "freebie" is a portion of food or other product (for example beauty products) given to consumers in shopping malls, supermarkets, retail stores, or through other channels (such as via the Internet). Sometimes samples of non-perishable items are included in direct marketing mailings.
The sampling distribution of a statistic is the distribution of that statistic, considered as a random variable, when derived from a random sample of size . It may be considered as the distribution of the statistic for all possible samples from the same population of a given sample size.
A visual representation of the sampling process. In statistics, quality assurance, and survey methodology, sampling is the selection of a subset or a statistical sample (termed sample for short) of individuals from within a statistical population to estimate characteristics of the whole population. The subset is meant to reflect the whole ...
In statistics, a simple random sample (or SRS) is a subset of individuals (a sample) chosen from a larger set (a population) in which a subset of individuals are chosen randomly, all with the same probability. It is a process of selecting a sample in a random way.
Bootstrapping is any test or metric that uses random sampling with replacement (e.g. mimicking the sampling process), and falls under the broader class of resampling methods. Bootstrapping assigns measures of accuracy ( bias, variance, confidence intervals, prediction error, etc.) to sample estimates.
A sample refers to a group or section of a population from which information is to be obtained. Survey samples can be broadly divided into two types: probability samples and super samples. Probability-based samples implement a sampling plan with specified probabilities (perhaps adapted probabilities specified by an adaptive procedure).
Convenience sampling (also known as grab sampling, accidental sampling, or opportunity sampling) is a type of non-probability sampling that involves the sample being drawn from that part of the population that is close to hand. Convenience sampling is not often recommended by official statistical agencies for research due to the possibility of ...
Each row of points is a sample from the same normal distribution. The colored lines are 50% confidence intervals for the mean, μ. At the center of each interval is the sample mean, marked with a diamond. The blue intervals contain the population mean, and the red ones do not.
Nonprobability sampling is a form of sampling that does not utilise random sampling techniques where the probability of getting any particular sample may be calculated. Nonprobability samples are not intended to be used to infer from the sample to the general population in statistical terms.
Stratified sampling. In statistics, stratified sampling is a method of sampling from a population which can be partitioned into subpopulations . In statistical surveys, when subpopulations within an overall population vary, it could be advantageous to sample each subpopulation ( stratum) independently.