Lab 4 Data and Mining MSS

Marisela Sampaga-Smith ENVIR 301 A January 24, 2024 Lab Procedure We will test the hypothesis that the ratification of the 1994 NW Forest Plan caused a decline in socio economic well-being (SEWB) in Washington timber communities. In this lab, one of the towns you will use as a test case is Forks on the Olympic Peninsula (they once called themselves the “Timber Capital of the World”). Step 1) With your classmates, brainstorm a list of factors that might be associated with SEWB. In other words, how would one “operationalize” the concept of SEWB? Step 2) Now, with your classmates, how do you predict that these factors should change before and after the NW Forest Plan. Step 3) Talk to each other about an ideal experimental design for addressing the hypothesis above. Will you need to sample more communities? If so, why? And which? Try to be specific. Hint: Forks is a timber dependent community within the region affected by the NW Forest Plan. Post-Lab (Part 1): Now that you’ve thought about what you need to do, work in small groups to test the hypothesis above. You must work with at least 2 communities. Forks, WA will be one of them. Question 1: How do you predict that these factors should change before and after the NW Forest Plan? Complete this table with your predictions (higher or lower), in each cell, and label Town B with an actual name. Researchers often fill out tables like this, prior to collecting data. You could also sketch out graphs if you wanted to. Indicator of SEWB 1990 Census Prediction Forks 2000 Census Prediction Forks 1990 Census Prediction Gig Harbor 2000 Census Prediction Gig Harbor EmD (Diversity of Employment) Lower Higher Lower Higher Ed (Educational Attainment) Lower Higher Higher Higher PUn (the percent unemployed) Lower Lower Lower Lower PP (Percent in Poverty) Higher Lower Lower Lower MHI (Median Lower Higher Higher Higher

Marisela Sampaga-Smith ENVIR 301 A January 24, 2024 Household Income) To access census data for Forks, WA (and other communities of your choosing), first go to www.ofm.wa.gov . Click on “Washington Data and Research” in the top bar. Then go to “Decennial Census Data”. Click on 1990. Scroll down to Forks, WA. Click on the link and download the zip folder. Now go to 2000. Scroll down and click on the “4 page demographic profiles” for WA state. Scroll down to the data for Forks city, WA. Open the pdf which contains tables DP-1 through DP-4. These data should be comparable to what you just opened for 1990. Test the above hypothesis for Forks, WA, looking at SEWB in five different ways. Make sure you display your data as clearly as possible. If you need to do any small calculations on the census data before you present the data, you should do so. Make sure you consider your experimental design discussion from earlier, and include data from at least one additional population besides Forks. Note that when looking at income, you should consider adjusting for inflation using this tool: https://www.bls.gov/data/inflation_calculator.htm Question 2: Complete this table with resulting values in each cell. Replace Town B with an actual town. Indicator of SEWB 1990 Census Result Forks 2000 Census Result Forks 1990 Census Result Gig Harbor 2000 Census Result Gig Harbor EmD (Diversity of Employment) 12.8% .128 (0.1280883988) 12.7% .127 (0.1270) 28.1% .28 (0.28115) 11.9% .119 (0.11958) Ed (Educational Attainment) 10.5% 10% 27.0% 20.8% PUn ( Percent of unemployed) 4.8% (0.0481) 5.7% (0.057) 2.5% (0.0255) 2.8% PP ( Percent in poverty) 13.6% (0.1356) 20.5% (0.205) 7.5% (0.0751) 5.9% MHI ( Median Household Income) $26,851 $34,280 $33,321 $43,456

Marisela Sampaga-Smith ENVIR 301 A January 24, 2024 From the data provided, the hypothesis is not supported. The demographics of those who are employed did not have a shift that was significant enough to claim white to Latino. Considering the employment diversity were a low 12.8 percent for the city in this recorded year, there was no correlation for a shift between white labor employment rates and Latino employment rates. To turn in:  Prediction table  Census data table  Census results summary, conclusions  Demographics data and explanation  Demographics conclusions