Examples of using Statistician in English and their translations into Chinese
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Programming
Mann was not an expert statistician.
Senior Statistician, Economic and Social Department Group, Bangkok.
Chief Statistician, Badan Pusat Statistik, Indonesia.
Senior Statistician, Economic, Social and Policy Assistance Group(ESP).
Ms. Supaporn Bongsunun, Senior Statistician, Office of Agricultural Economics, Thailand.
I am a statistician working at a research institute.
When British statistician Ronald Fisher introduced the p value in the 1920s, he did not mean it to be a definitive test.
Ellie Osborn, a health analysis statistician at the ONS, said:“The figures published today show that the level of drug poisoning deaths in 2017 remained stable.
I understand the job of a statistician is to use the tools of statistics to interpret data in the context of the domain.
David Freeman, senior statistician at ONS, said:“The labour market appears to have flattened off in recent months.
Dr Charles Paxton, a fisheries statistician at the University of St Andrews, Scotland, said:"There are plenty of places these creatures could be hiding.
While a statistician might be impressed by the outcome, the user who initiated the search simply drowned in a sea of homogenous data.
With British statistician Egon Pearson, Neyman develops a method for choosing the most effective test of a hypothesis, and later develops foundational statistical-theory concepts.
Economists Guido Imbens and Bruce Sacerdote and statistician Donald Rubin showed in a 2001 paper that people tend to spend unexpected windfalls.
She worked with a statistician named George Kneale, and George was pretty much everything that Alice wasn't.
Course statistician economist at Eurostat(Luxembourg), calculation of price indices of foreign trade, the case of Togo.
The prominent Bayesian statistician Donald Rubin of Harvard has served as a consultant for tobacco companies facing lawsuits for damages from smoking.
Dr. Barry Leventhal is an eminent marketing statistician who has worked in the information industry for more than 30 years.
Stanley Wasserman, an Indiana University statistician who studies social networks, noted that while the study was cleverly done, it does have its limitations.
If you're a statistician, you know dirty data, and you know about bias and overstating the significance of results.