Contemplate the following data set (gerbils per cage):
a) Mean ________ b) Median ________ c) Mode ________ d) Standard deviation ________ e) Co-efficient of variation ________ f) Skewness ________
+----------------------+ | [b] [e] | | [a] [d] | | [c] | | | |______ | ^ | | [f] | | | | | N | | [g] | | | | +---------+ | | \ 0 5 | | \ feet | | \ +----------------------+
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LAB EXERCISE B: Elements of Sampling and Spatial Sampling
For the next questions, read the appendices mentioned.
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The next questions get you up to speed on random number tables:
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For the following experiments, you will need a copy of the current Butte County telephone directory.
The following questions deal with the basics of spatial sampling:
0 1 2 3 4 5 6 7 8 9 0 +--+--+--+--+--+--+--+--+--+ | | | | | | | | | | 1 +--+--+--+--+--+--+--+--+--+ | | | | | | | | | | 2 +--+--+--+--+--+--+--+--+--+ | | | | | | | | | | 3 +--+--+--+--+--+--+--+--+--+ | | | | | | | | | | 4 +--+--+--+--+--+--+--+--+--+ _________________________________________________________________ _________________________________________________________________ _________________________________________________________________ _________________________________________________________________
0 1 2 3 4 5 6 7 8 9 0 +-+-+-+-+-+-+-+-+-+ 1 +-+-+-+-+-+-+-+-+-+ 2 +-+-+-+-+-+-+-+-+-+ 3 +-+-+-+-+-+-+-+-+-+ 4 +-+-+-+-+-+-+-+-+-+ 5 +-+-+-+-+-+-+-+-+-+ 6 +-+-+-+-+-+-+-+-+-+ 7 +-+-+-+-+-+-+-+-+-+ 8 +-+-+-+-+-+-+-+-+-+ 9 +-+-+-+-+-+-+-+-+-+ _________________________________________________________________ _________________________________________________________________ _________________________________________________________________ _________________________________________________________________
+--+--+--+--+--+--+--+--+--+--+ 10 | | | | | | | | | | | |--+--+--+--+--+--+--+--+--+--| 9 | | | | | | | | | | | |--+--+--+--+--+--+--+--+--+--| 8 | | | | | | | | | | | |--+--+--+--+--+--+--+--+--+--| 7 | | | | | | | | | | | |--+--+--+--+--+--+--+--+--+--| 6 | | | | | | | | | | | |--+--+--+--+--+--+--+--+--+--| 5 | | | | | | | | | | | |--+--+--+--+--+--+--+--+--+--| 4 | | | | | | | | | | | |--+--+--+--+--+--+--+--+--+--| 3 | | | | | | | | | | | |--+--+--+--+--+--+--+--+--+--| 2 | | | | | | | | | | | |--+--+--+--+--+--+--+--+--+--| 1 | | | | | | | | | | | +--+--+--+--+--+--+--+--+--+--+ 1 2 3 4 5 6 7 8 9 10 _________________________________________________________________ _________________________________________________________________ _________________________________________________________________ _________________________________________________________________
Bald Tikaboo Valley Mt. 0 10 20 km 0 +----------------------------------+ | | Pahranagat 2 |- -| Range | | 4 |- -| | | 6 |- -| | | 8 |- -| Tikaboo | | Valey 10 |- -| | | 12 |- -| | | 14 |- -| | | 16 |- -| | | Jumbled 18 |- -| Hills | | 20 +----------------------------------+ km
LAB 5 APPENDIX A
Data
Roseman's ideas are rather difficult to implement. Since his theory generalizes from the behavior of individual migrant households to aggregate-level phenomena, any evaluation of that theory's validity should ideally make use of household-level data. The acquisition of such data is costly in terms of time and effort, as they must be obtained from the migrants: traditional data sources, such as the Census, are simply not available in the form that is the most appropriate to the Roseman framework. In order to obtain such household-level data, individual households belonging to the defined population of migrants must be specified.
In order to identify those households, the names and addresses of all parties purchasing properties in Northridge were obtained from the Los Angeles County Tax Assessor's Office. To distinuish migrant households from those parties purchasing homes, commercial properties, or residential properties for investment purposes, all names of companies and corporations were excluded as were family trusts buying multiple properties or those whose mailing addresses were different from the in situ addresses. After removing these elements, the remaining 1625 names were assumed to be those of migrant households.
The obtained sample of migrant households. -- The 325 households chosen comprised a twenty percent systematic random sample of the population described. The sample was drawn by arranging all the tax districts of Northridge in ascending numerical order, the names within each district remaining in the same order as found in the Tax Assessor's printouts. Then, every fifth name (after an initially randomly chosen starting point among the first five names) was taken for inclusion in the sample for a total of 325.
LAB 5 APPENDIX B
Unfortunately for this study, no comprehensive listing of archaeological sites exists on the global scale or on the regional scale needed here. There are no computer codings of "adequately known" archaeological sites to match the work of Erika Bouguignon and Lenora S. Greenbaum in ethnography or the George Peter Murdock Ethnographic Atlas on which their coding is based.
To provide an adequate sample, a list of all Near Eastern sites mentioned in some twenty secondary works on archaeology in the area was assembled. Presumably, a list assembled from secondary sources is composed of relatively well published sites. A workable sample of sites was drawn in a statistically unbiased way for more detailed data collection.
The list contains the alphabetized names of 536 Upper Palaeolithic through Neolithic/Chalcolithic sites in the Near East, ranging from 20,000 through 5,000 BP. Together with their names, locations and general technological level(s) have been coded. Forty-two sites were identified as Upper Palaeolithic in technological level, 87 as Epi-Palaeolithic, 63 as Mesolithic, and 408 as Neolithic. Neolithic takes in aceramic and ceramic Neolithic and Chalcolithic sites. These were not distinguished, because it proved impossible to identify the specific Neolithic level a priori. The four numbers add up to 600, rather than 536, because each major technological level within a site was counted as a separate occupation or settlement. Some sites were counted more than once, because they were occupied continuously or were reoccupied after a major change in technological level.
Once the sites were categorized as Upper Palaeolithic, Epi-Palaeolithic, Mesolithic, or Neolithic, a random sample of 60 was drawn. The sample is ten percent of the population of 600. The sample was stratified by general technological level, which corresponds roughly to the changing human relationship with nature that shapes the development of animal husbandry motives. Seven percent of the population were Upper Palaeolithic in character. Fifteen percent were Epi-Palaeolithic; ten percent were Mesolithic; and 68 percent were Neolithic. The sample was drawn from a random number table, such that the proportion of each level in the sample duplicated that in the population. Proportionally stratified random sampling was used in order to employ the non-parametric statistical techniques appropriate to nominal data.
LAB 5 APPENDIX C
A multi-stage ... sample of interviewing locations is employed in this research. At the first stage, 150 counties are selected with probabilities proportionate to population. At the second stage, within each of the first stage counties, three Census block groups are selected, with probabilities of selection proportionate to population. At the third stage, two locations are selected within each Census block group or equivalent. These locations constitute Census blocks or spatial equivalents in rural areas.
At the block level, the interviewers are assigned starting points and paths to proceed around the block. They attempt to interview at all households in the block until that point where they have reached assigned quotas of men and women and people over and under age 45. Once all four quotas are met, the interviewer leaves the neighborhood.
LAB 5 APPENDIX D
Data were gathered through the use of a questionnaire submitted to 222 respondents. The results can be regarded as tentative, because the sample is biased, representing only those persons most accessible. Despite the bias present, however, an effort was made to include representatives of most socio-economic groups living or working in the San Fernando Valley.