Sampling

Combinations
Combinations refer to the different subgroups that can be formed by sampling a larger group or population without considering the order of elements. Combinations are essential in probability, statistics, and various branches of mathematics.
Confidence Interval
A confidence interval is a range of values, derived from sample statistics, that is likely to contain the value of an unknown population parameter. The interval has an associated confidence level that quantifies the level of confidence that the parameter lies within the interval.
Depth Tests
An in-depth analysis of internal control features within an organization, specifically designed to evaluate their effectiveness and compliance.
Permutations
Permutations refer to the different arrangements or orderings of a set of items, where the order of elements is crucial in their selection.
Random-Number Generator
A program that generates a sequence of numbers that seem to be completely random. Random numbers provide a way of selecting a sample without human bias.
Sampling
Sampling is a process in which a small group of items, known as a sample, is selected from a larger group (population) to represent the characteristics of the larger group. It is widely used in auditing, market research, and quality control.
Sampling: A Comprehensive Guide
Sampling is a fundamental aspect of fields like marketing research and sales promotion, facilitating the study and testing of small groups to draw conclusions or stimulate usage in larger populations cost-effectively.
Statistic
A statistic is a descriptive measure calculated from data sampled from a population, used to make inferences about the overall population. It serves as a fundamental element in the field of statistics, aiding in data analysis, hypothesis testing, and predictive modeling.
Testchecking
Testchecking is a procedure used in auditing to verify the accuracy of certain items in financial records, allowing the auditor to form an opinion about the entire account.
Unbiased Estimator
An unbiased estimator is a statistical term referring to a method of estimating a population parameter, where the average of several random samples results in an estimate equal to the population parameter itself.

Accounting Terms Lexicon

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