Examples of 'statistics must' in a sentence
Meaning of "statistics must"
Highlights the necessity or importance of using statistical data, analysis, or methodologies in a given context. It implies that factual information, especially numerical data, is essential for making informed decisions, drawing conclusions, or understanding patterns and trends in a particular area of study or practice
How to use "statistics must" in a sentence
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Advanced
statistics must
Statistics must be coherent in operation and design.
Basic environmental statistics must be first improved.
Statistics must be kept on visas issued at borders.
This is where statistics must plead impotence.
Statistics must now face new challenges.
Community resources for statistics must be clearly related to priorities.
Statistics must reserve a religious studio moral imperative.
Data have to be available and impartial statistics must be prepared.
The statistics must be published as quickly as possible.
With the desire to quit or to keep statistics must be combated.
These statistics must be analyzed with caution.
This is one of the main challenges to which agricultural statistics must respond.
Official statistics must play a part in these.
As such the statistical system underlying government finance statistics must also change.
These statistics must include the following data.
International statistical reporting requirements are necessary and statistics must be transparent and suitable for a.
Customs and statistics must be brought closer together.
Existing information relevant for the production of statistics must be taken from the updated stock.
These statistics must be interpreted prudently.
We think that Community policy for dissemination of European statistics must include pricing.
Statistics must meet a number of criteria.
The humanity behind the statistics must not be lost sight of.
Statistics must be credible.
An analysis of the control statistics must form part ofthe basis ofthe SoA.
Statistics must not be published that will allow individuals to be identified.
Typing reports and maintaining statistics must be done concurrently with the other duties.
Statistics must be presented in ways that reflect separate user needs.
The administrative burden of collecting statistics must match the size of the business concerned.
Statistics must be interpreted whether they are of administrative origin or from specific surveys.
Finally, gaps in statistics must be avoided.
EC statistics must not be transformed into an instrument for an interventionist sectoral policy.
Today, the notions underlying trade statistics must be viewed differently.
The cold statistics must give way to the human story.
In the case of international data, the statistics must also be comparable.
Ultimately statistics must meet the needs of all users.
Even during apparently quieter periods, statistics must play a role.
The accident statistics must be verified during the audit.
Yet intuition tells one that the anthropologists ' statistics must be somehow wrong.
Centrally produced statistics must be in balance with statistics produced nationally.
Taking into account this last comment, the following statistics must be seen as incomplete.
Valid and comparable statistics must be prepared and existing research coordinated.
Panama 's failure to gather the basic data needed to generate such statistics must be remedied.
Decisions about migration statistics must always take account of the whole population statistics system.
To prove the unequal situation, the data that reveals the statistics must be used.
National priorities for statistics must take into account national problems and national characteristics.
At the same time, Community statistics must seek.
Environment statistics must use the same basic nomenclatures as other official statistics eg NACE.
Concerning branch and sector coverage, the statistics must provide a complete picture of the economy.
O Statistics must be compiled according to the instructions attached as Appendix A.
Relevance » means that ESCB statistics must fulfil stated or implied user needs.
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They must have changed their view
Someone you know must have died
He must have loved you very much