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Estimating Population Mean with Known Standard Deviation01:16

Estimating Population Mean with Known Standard Deviation

To construct a confidence interval for a single unknown population mean μ, where the population standard deviation is known, we need sample mean as an estimate for μ and we need the margin of error. Here, the margin of error (EBM) is called the error bound for a population mean (abbreviated EBM). The sample mean is the point estimate of the unknown population mean μ.
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Estimating Population Mean with Unknown Standard Deviation01:22

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In practice, we rarely know the population standard deviation. In the past, when the sample size was large, this did not present a problem to statisticians. They used the sample standard deviation s as an estimate for σ and proceeded as before to calculate a confidence interval with close enough results. However, statisticians ran into problems when the sample size was small. A small sample size caused inaccuracies in the confidence interval.
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Customized birthweight standards for a Spanish population.

F Figueras1, E Meler, A Iraola

  • 1Obstetrics Department, Hospital Clinic, Barcelona, Spain. Francesc.Figueras@perinatal.nhs.uk

European Journal of Obstetrics, Gynecology, and Reproductive Biology
|February 9, 2007
PubMed
Summary

Maternal and fetal factors significantly influence birthweight, with ethnic origin, maternal height, weight, and smoking impacting newborn size. Customized birthweight standards are essential for the Spanish population, considering these diverse biological influences.

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Area of Science:

  • Obstetrics and Gynecology
  • Perinatology
  • Human Reproduction

Background:

  • Birthweight is a critical indicator of fetal health and development.
  • Existing birthweight standards may not accurately reflect diverse populations.
  • Understanding factors influencing birthweight is crucial for appropriate clinical management.

Purpose of the Study:

  • To analyze biological factors affecting birthweight.
  • To establish customized birthweight standards for a Spanish population.

Main Methods:

  • Retrospective cohort study of singleton, term pregnancies without pathology.
  • Multiple linear regression modeling of birthweight using maternal (ethnicity, height, weight, smoking, parity) and fetal (gender, gestational age) characteristics.

Main Results:

  • Gestational age, sex, maternal height, booking weight, ethnic origin, parity, and smoking significantly affect birthweight.
  • Newborns of women from East-Asia, Morocco, and South-America were heavier than those of White-European Spanish women.
  • Smoking demonstrated a dose-related effect on birthweight.

Conclusions:

  • Maternal and fetal characteristics have significant, independent effects on birthweight.
  • Ethnic origin contributes substantially to birthweight variations.
  • Derived coefficients for ethnic groups are relevant for European populations.