Related Experiment Video
Updated: Jul 31, 2026

Milk Collection Methods for Mice and Reeves' Muntjac Deer
Published on: July 19, 2014
Another Look at WIC's Breastfeeding Data: State Totals Reveal More Than Regional Averages
11 Mercy College, Dobbs Ferry, NY, USA.
Background::
Breastfeeding is known to be the most beneficial way of feeding infants, but 68% of the infants enrolled in the U.S. Department of Agriculture's Special Supplemental Nutrition Program for Women, Infants, and Children are fully formula fed. Mandated annual reports about breastfeeding aggregate data from the states into regions, which obscures important information.
Research Aim::
The aim of this study is to reexamine the data supplied by the Special Supplemental Nutrition Program for Women, Infants, and Children to identify which areas of the United States have the lowest incidence of breastfeeding infants.
Methods::
A retrospective cross-sectional observational study was conducted. Data from the Breastfeeding Data Local Agency Report were extracted, graphed, and analyzed.
Results::
Data provided from the Special Supplemental Nutrition Program for Women, Infants, and Children for fiscal year 2016 show that the range of fully formula fed infants at the regional level is 60% to 78%, while at the state level the range is wider, at 51% to 89%. The states with the largest numbers of fully formula fed infants were Mississippi (89%), Louisiana (88%), Alabama (88%), and Arkansas (87%). When examining data from all 90 reporting agencies, the range of fully formula fed infants was 38% to 95%.
Conclusions::
Aggregating state, Native American nation, and territorial data at the regional level resulted in a loss of important information. WIC's current breastfeeding interventions may be more effective in some areas than others. Future research can examine successful and unsuccessful interventions on a state or local level.
Related Concept Videos
Regression Toward the Mean
Midrange
Simply put, the midrange is half of the data set’s range. Similar to the mean, the midrange is sensitive to the extreme values and hence the prospective outliers. However, unlike the mean, the midrange is not sensitive to all the values of the data set that lie in the middle. Thus, it is prone to outliers and...
5-Number Summary
In a box plot, the minimum and maximum data values represent the lower and upper whiskers in the graph, and the median is designated as the center of the box in the chart. The first quartile and third...
Central Tendency: Analysis
The mean is one such measure, calculated by totaling all values in a dataset and dividing by the number of values. For instance, the mean blood pressure reading (120, 130, 140, 150) would be 135. However, the mean can be affected by extreme values or outliers.
The median, another measure,...
Statistical Methods for Analyzing Epidemiological Data

