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# Statistics: Sampling Method

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1. Five early adolescents in each program participated in the study. The young people ranged in age from 11 to 13 years and all were racial minorities. The three boys in the Manhattan neighborhood were of Hispanic/Latino origin and the two girls were African American. Conversely, the four boys in the Bronx neighborhood were African American and the girl was a recent immigrant from South America. Four adolescents in Manhattan had lived in their neighborhoods since birth and one boy moved to the neighborhood 6 years prior to the interview. In the Bronx, two boys had lived in their neighborhoods since birth whereas two boys had lived there for 8 years. The girl moved to the Bronx a year before the interview. In order to explore young people's perceptions of their neighborhoods and examine which places and conditions are important to them, the adolescents participated in individual open-ended interviews supplemented by a mapping exercise and youth-led tours of the neighborhood (also referred to as neighborhood walk). Questions for the interview were based on previous neighborhood studies by Bryant (1985), Chawla (2002), and Spilsbury (2002).

Probability Samplings
Simple random
Systematic sampling
Stratified random
Cluster sampling
Non-probability Samplings
Convenience sampling
Quota sampling

2. Data from this study came from the "National Women's Study-Replication." The sample of 3,001 women was formed from two U.S. population samples: a national cross-section of 2,001 women aged 18-34 years plus a national cross-section of 1,000 women aged 35 and older. Weights were created and used for all analyses with this sample to maximize representativeness by bringing the distribution of sample demographics in line with 2005 U.S. Census figures. The resulting sample consisted of 3,001 women (aged 18 to 86 years), with a mean age of 46.58 ± 17.87. We used random-digit-dial (RDD) methodology involving three steps. First, the sample was geographically stratified with sample allocation proportionate to population distribution. Second, a sample of assigned telephone banks was randomly selected from an enumeration of the Working Residential Hundreds Block (defined as each block of 100 potential telephone numbers with an exchange that includes one or more residential listings) within the active telephone exchanges within the strata. Third, a two-digit number was randomly generated by computer for each Working Residential Hundreds Block. All interviews were conducted between January 23 and June 26, 2006."

Probability Samplings
Simple random
Systematic sampling
Stratified random
Cluster sampling
Non-probability Samplings
Convenience sampling
Quota sampling

##### Solution Summary

This solution is comprised of the identification and detailed analysis of the type of sampling used in the given examples.

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