The phrase "smaller margin of error" is correct and can be used in written English.
It refers to the degree of inaccuracy or uncertainty in a measurement or statistic, where a smaller margin of error indicates a more precise or accurate result. Example: The new survey method has significantly reduced the margin of error, leading to more reliable data and a clearer understanding of consumer preferences.
By trying to allow for that smaller margin of error it is jeopardising the entire UDRS system by fuelling the BCCI's argument that the technology cannot be trusted.
This means that in effect we have a much larger sample than in any one poll, and hence a much smaller margin of error.
And it has a smaller margin of error associated with it, because there is less uncertainty about what would happen in an election held today than the one that will take place in November.
If Obama goes that route, he will have a much smaller margin of error and run a much bigger risk that Kabul, not health care, will end up being his Waterloo.
Thus, for any chosen value of q, For example, if q =.05 and n = 400, then we have (for any value of r), For n = 900 (and margin q =.05) this lower bound raises to.997: If we are interested in a smaller margin of error q, we can keep the same sample size and find the value of the lower bound for that value of q.
This survey covers a much larger sample size and thus has a smaller margin of error than the household survey.
In the country that has the lowest sample size, that is, Comoros, the sample size was sufficient to estimate the expected prevalence of 8.5% 4 with 95% confidence level, 1.5% margin of error and design effect of 2. In the other countries, the sample size allows for a smaller margin of errors.
Larger sample sizes lead to smaller margins of error.
Estimated depositional age of the tsunami deposits is shown by green rectangles with error bars (2σ) based on results that have smaller margins of error among the values reported in previous studies.
The HuffPost model also weights polls by their sample size, because larger samples have smaller margins of error.
There's such a small margin of error".
