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Statistical in sentence

291 examples of Statistical in a sentence

A massive statistical study, conducted from 2001 to 2003 by the US National Institute of Mental Health (NIMH), estimated the lifetime prevalence of major depression among American adults (ages 18-54) at more than 16%.
For example, Christopher Boorse, a philosopher at the University of Delaware, defines disease as a statistical deviation from “species-typical functioning.”
In southern Italy today, a young person – especially a woman – on a permanent work contract, being paid on time and in full, is a statistical oddity.
But this straightforward statistical estimate does not account for the serious problems that China must address in the coming years, such as rising inequality between rural and urban areas and between coastal and inland regions.
So the US middle class has been doing much better than the statistical pessimists assert.
Today, assumptions about gender (such as innate differences in abilities) have become intellectually untenable, while rigorous statistical analysis has identified the prime causes of gender differences in economic outcomes.
Careful analysis of statistical data debunked the idea that stressed executives are at a higher risk for heart attacks.
And the November figure will be adjusted downward because of a recently discovered statistical error by Canadian authorities.
According to a law that dates back to the French Revolution, and reconfirmed in 1978, French government officials are forbidden to collect information about a citizen’s ethnic or racial origins, whether real or alleged, when conducting a census or other efforts to gathering statistical information on the population.
Statistical categories often tend to become social categories.
Statistical evidence suggests that this relationship will weaken once the real-estate market recovers, but this remains a long-run prospect.
A bit of statistical analysis reveals further important patterns.
If I own one house and my neighbor owns two, and falling interest rates cause the value of those houses to double, the monetary inequality between us also doubles, affecting a variety of statistical indicators and triggering much well-intended concern.
The difference in economic performance under Democratic and Republican presidents is consistent and substantial, with the disparities clearly above the threshold for statistical significance.
Corroborating statistical evidence shows that high deficits and debt increase long-run interest rates.
The dollar appreciated much faster than anyone expected; and, as data for the first quarter of 2015 suggest, the impact on net exports, inflation, and growth has been larger and more rapid than that implied by policymakers’ statistical models.
Given GDP’s seeming indispensability today, it may come as a surprise that until the 1930s national governments’ only aggregate statistical measurement of the economy was tax estimates.
Congress recognized the need for an aggregate statistical picture of the economy, but it didn’t know how to produce one.
As with Time on the Cross, the Reinhart/Rogoff controversy, while ostensibly stemming from the authors’ statistical procedures, is actually rooted in the purposes to which others put their study.
What is needed is not more sophisticated statistical methods, but serious historical analysis of the political and economic particulars of specific historical cases in which countries were burdened with heavy debts.
Now for the statistical shortcut.
There is no statistical proof that this type of weather manipulation works, but cloud seeders are also busy in the United States, mainly in the west.
As British economist Charles Goodhart explained in the 1980s, “any observed statistical regularity will tend to collapse once pressure is placed upon it for control purposes.”
A modern society does need educated people: not just engineers, chemists, and doctors, but millions of people who can write coherent letters, fill in complicated forms, explain insurance policies, and interpret statistical data from machines on factory floors.
We have to examine the issue with some care, understanding that the issue that Mandeville raised is really a statistical one: the outcome of government deficit reduction is never entirely predictable, so we can ask only how likely such a plan is to succeed in restoring economic prosperity.
Either way, the point is straightforward: statistical recovery is not enough.
President Mauricio Macri’s administration has liberalized international capital flows, allowed the Argentine peso to move more flexibly in the foreign exchange market, worked to rationalize a crazy quilt of subsidies, and created a credible statistical authority from scratch.
The economists Carmen Reinhart and Kenneth Rogoff have received an astounding amount of press attention since it was discovered that they made a spreadsheet error in a 2010 paper that examined the statistical relationship between debt and growth.
More insights into Japan’s real progress can be derived from another source: the new System of National Accounts 2008, the latest international statistical standard for national accounting by the United Nations Statistical Commission.
Indeed, according to Eurostat (the EU’s statistical office), by the second quarter of 2010, the eurozone was growing faster than the US, while the euro remains the second most widely used trading currency.
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