Abstract
It is rarely sufficient simply to present estimates of means, coefficients, or poverty rates that have been calculated based on survey data. We also need measures of the variability of these measures, so that we may judge how much confidence to have in them.
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Notes
- 1.
The poverty rate is a proportion; because this distribution is nonnormal it would be more appropriate to use a χ 2 test in this case. For large samples, such as the one here, the use of a t-test will give a similar result, and for the purposes of this chapter we also wanted to illustrate the use of the t-test in this context.
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Haughton, D., Haughton, J. (2011). Bootstrapping. In: Living Standards Analytics. Statistics for Social and Behavioral Sciences. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0385-2_11
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DOI: https://doi.org/10.1007/978-1-4614-0385-2_11
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