Statistical Terms Glossary

Structured employee involvement groups operating in designated work areas that meet regularly to identify work related problems and to suggest solutions or improvements to management.

● Quality Control of the data collection process assures that the underlying statistical assumptions of a survey are not violated, i.e. the meaning of the principal statistical measures and the assumptions which condition their use is maintained.
● Quality Control in data review process measures the impact of data adjustment on the data.

A concept refers to documentation on methods and standards for assessing data quality, based on standard quality criteria such as relevance, accuracy and reliability, timeliness and punctuality, accessibility and clarity, comparability, coherence, and completeness.

Errors that may distort the quality of the data: for example, systematic errors that lead to bias

Is a “method to transform user demands into design quality, to deploy the functions forming quality, and to deploy methods for achieving the design quality into subsystems and component parts, and ultimately to specific elements of the manufacturing process.

Data is reliable, valid and representative, free of gender biases, with good coverage (including country coverage and regular country production), and is comparable across countries in terms of concepts, definitions and measures. Quality data should have the features of complexity (meaning that data from different domains in women’s lives can be cross-referenced and cross-tabulated), and granularity (where the data can be disaggregated into smaller units by race and ethnicity, age and geographic location, as well as sex).

Part of quality management focused on increasing the ability to fulfil quality requirements.

See: SBR improvement survey

A one-dimension synthetical information on quality, possibly calculated as a weighted mean of all available quality indicators.

Quality indicator is an indicator of the degree of quality of a certain quality aspect

A Bank loan which has been carefully prepared and is financially viable.

Systems and frameworks in place within an organization to manage the quality of statistical products and processes.

(ITIL) The set of Processes responsible for ensuring that all work carried out by an Organisation is of a suitable Quality to reliably meet Business Objectives or Service Levels.
(ISACA) A system that outlines the policies and procedures necessary to improve and control the various processes that will ultimately lead to improved enterprise performance.

Something sought or aimed for related to quality.

An individual’s perception of their position in life in the context of the culture and value systems in which they live, and in relation to their goals, expectations, standards, and concerns. It is a broad-ranging concept, incorporating in a complex way the person’s physical health, psychological state, level of independence, social relationships, personal beliefs, and relationship to environmental factors that affect them.

Refers to resource reservation control mechanisms rather than the achieved service quality. Quality of service is the ability to provide different priority to different applications, users, or data flows, or to guarantee a certain level of performance to a data flow.

Part of quality management focused on setting quality objectives and specifying necessary operational processes and related resources to fulfil the quality objectives.

Overall intentions and direction of an organization related to quality as formally expressed by top management.

A ceiling on the amount of insurance or credit that an export credit agency will provide under certain circumstances. Limits can apply to individual buyers or to total exposure on buying countries or to maximum contract sizes.

Quantitative competition covers such natural resources as oil, copper or groundwater which may become quantitatively insufficient in the future.

Edits applied to fields measured on a continuous scale.

Managing a project or work group using statistical and other quantitative techniques to build an understanding of the performance or predicted performance of processes in comparison to the project’s or work group’s quality and process performance objectives, and identifying corrective action that may need to be taken. Statistical techniques used in quantitative management include analysis, creation, or use of process performance models; analysis, creation, or use of process performance baselines; use of control charts; analysis of variance, regression analysis; and use of confidence intervals or prediction intervals, sensitivity analysis, simulations, and tests of hypotheses.

Desired target value expressed using quantitative measures.

Specific limits on the quantity or value of goods that can be imported (or exported) during a specific time period.

See ('quantitative management.')

A physical measure not adjusted for quality differences.

A volume comparison between two or more countries that is made by comparing the volumes (or quantities) of a representative sample of comparable products.

A measure reflecting the average of the proportionate changes in the quantities of a specified set of goods and services between two periods of time. Usually a quantity index is assigned a value of 100 in some selected base period and the values of the index for other periods are intended to indicate the average percentage change in quantities compared with the base period.

The weight of goods and cargo transported in tons ،Goods are two types: the goods unloaded the goods that received from abroad And exported goods: goods that exported abroad

The weight of cargo in (ton) downloaded through ports