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Table 2a: Assumptions for calculating the anthropometry Sample SizeEstimated Desired Design AverageMortality Precision Effect 9 HouseholdPrevalence (%)Size(%)Zones(Stratum)RecallPeriod(days)Nonresponsehousehold(%)Mountain 0.9 0.4 1.5 7 90 5 590Lowland 0.9 0.4 1.5 6.1 90 5 677Considering that a maximum 20 households can be surveyed per day per team, the number ofclusters is 30 in Mountain and 34 in Lowland Zones. The overall mortality sample size of the twoZones (stratum) is presented in Table 2b.SampleSize(N)Table 2b: Estimated sample size for Mortality and clusters by Zones with 90 days recall period(DEFF of 1.5, CMR of 0.9/10000/day and precision of 0.4 with 20 households per cluster)S. No Zones (Stratum) Estimated samplesizeHouseholds to bevisited/ day/clusterTotal cluster persurvey1 Mountain 590 20 302 Lowland 677 20 34Conclusion about sample size: As shown above in Table 1b and 2b, the total number of clustersto be visited in order to estimate the under-five nutritional status and CMR in the two Zones(stratum) differ slightly. SMART methodology recommends selecting the higher householdnumber when the anthropometric and mortality sample sizes vary. In this case, theanthropometric sample size was used for the survey. This implies that although only 30 and 34clusters are needed for the mortality data collection in Lowland and Mountain zonesrespectively, the actual number of clusters surveyed followed the anthropometric calculations,i.e., 36 and 40 clusters. Therefore, mortality data was collected in all households visited foranthropometric measurements.9 An assumption was made that minor heterogeneity in the death within clusters17