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Article 5. An introduction to estimation--2: from z to t
- Source :
- Emergency Medicine Journal. 18:65-70
- Publication Year :
- 2001
- Publisher :
- BMJ, 2001.
-
Abstract
- Provided the sample size is large enough (that is, n greater than 100), the z statistic can be used to determine the confidence interval estimation of the population mean even when the sigma is not known. In these cases the estimation of the standard error of the mean is used. The z statistic is also valid when determining the population's proportion based upon a large sample. However, when dealing with smaller samples, the z statistic is replaced by the t statistic. This makes it possible to estimate, in a population with an unknown standard deviation: The probability of getting a sample mean greater than or equal to a particular value The value of a sample mean with a particular probability of occurring The probability of getting a sample mean between two particular values The confidence interval for the estimation of the population mean can also be determined using the t statistic.
- Subjects :
- An Introduction to Statistics
education.field_of_study
business.industry
Population
Value (computer science)
General Medicine
Critical Care and Intensive Care Medicine
Sampling Studies
Standard deviation
Confidence interval
Standard error
Bias
Sample size determination
Data Interpretation, Statistical
Statistics
Emergency Medicine
Humans
Medicine
education
business
Statistic
Probability
t-statistic
Subjects
Details
- ISSN :
- 14720213 and 14720205
- Volume :
- 18
- Database :
- OpenAIRE
- Journal :
- Emergency Medicine Journal
- Accession number :
- edsair.doi.dedup.....8726b86c8da7d1a29450edaa2518ec48
- Full Text :
- https://doi.org/10.1136/emj.18.1.65