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16 yeers Appendix G Beaver County Benson CDP Bountiful city Box Elder County Cache County CCD—Con CDP pert Census Report Cerbon County City CCD city South City town confidentiality protection County County Subdivision County Gerden County pert County South County—Con coverage Creek Valley CDP Davis County dollers Duchesne CCD Duchesne County Economic Emery County Famale Gerfield County Grand County Holladay city household Housing Cheracteristics Data Housing Cheracteristics Ulah housing units Hyrum city income in 1999 information on confidentiality Juab Kane location of definitions lron County Madian Millerd County nonsampling error Off-Reservation Trust Land Perk CDP Perk City Piute County PLACE—Con Provo city Ridge town Salt Lake city Salt Lake County sample except Tables sampling error San Juan County Sanpate Sanpele County Sevier County Summit County Tooele County Uintah and Ouray Ulah Summery Social Utah County Valley town Wasatch County Washington County Weber County West Jordan city West Mountain CDP
Page 207 - The standard error of a sample estimate is a measure of the variation among the estimates from all the possible samples and thus is a measure of the precision with which an estimate from a particular sample approximates the average result of all possible samples. The sample estimate and its estimated standard error permit the construction of interval estimates with prescribed confidence that the interval includes the average result of all possible samples.
Page 9 - BNA's, block groups, and for American Indian and Alaska Native areas. For estimates of counts of persons and housing units by characteristics asked only on a sample basis (such as education, labor force status, income, and source of water), the sample estimates should be used...
Page 203 - ... actual figures that would have been obtained from a complete count. Estimates derived from a sample are expected to be different from the 100-percent figures because they are subject to sampling and nonsampling errors. Sampling error in data arises from the selection of persons and housing units to be included in the sample. Nonsampling error affects both sample and 100-percent data, and is introduced as a result of errors that may occur during the collection and processing phases of the census.