Introduction
In this lab write-up report, I will base my argument on the data collected and hypothesis analysis to address different areas of concern regarding the survey method and topographical zones.
Sampling Technique Selected In the First Season
In the first season, I chose to use random sampling in combination with systematic sampling based on the fact that I will be dealing with the collection of small-form data from a large population. I will use computer-generated software to aid me in conducting the random sampling through which I will select 20 squares, and in the systematic form, I will use geometric patterns for aid. The reason why I will be using the methods is that I will be dealing with the terrains, and there will be many unknown sites; therefore, random sampling will be effective to cover at least all corners of the data (National Geographic Society, n.d.).
Achievements And Effectiveness Of The Selected Method
I achieved this benchmark based on the fact that random sampling aided me in the collection of the data of different varieties. Through this method, I was able to cover different topographical regions. Different geographical regions were covered by this method, and therefore, it was a very viable way of hypothesis interpretation and analysis. The random squares covered different sites having flood plains, mountains, foothills and rivers, and this type of sampling is basically important for variety coverage.
Hypothesis And How I Came About It
In my survey, I give the hypothesis that people mainly live on the foothills due to several reasons, such as keeping them off the frequent floods which may be occurring due to high networks of the rivers, and also give them a vantage point for hunting activities along the mountains for living. There are fewer economic activities along the river belt due to the high level of floods, which technically prevents farming activities from occurring in the area, contrary to the fact that there are rivers in the area of survey. I suggested this hypothesis due to the alignment of the area under survey. Most of the random squares under coverage were basically on foothills proving the fact.
Reasons For Selecting Judgment Method In the Second Season
In the second sampling method, I chose to use judgment sampling based on the fact that I was focusing on nonprobability tests. In this method, I focused on selecting the units that were to be sampled based on my knowledge of random sampling and professional sampling. I found this method very useful since it created greater representation of the samples, which brought more accurate results on topographical analysis. I found this method to be more accurate based on the fact that it represented more of the topographical features, such as rivers and mountains, in relation to settlement and economic activities. In my opinion, I can say that the method was very effective as compared to the random type since it gave me, as a researcher, first-hand information concerning the individual topographical features and their relation with the way people settle across the region. There were very limited individual population samples of interest, and therefore, I found this method to be very effective for obtaining the data from such a specific group of features. I do support my hypothesis in this survey based on the fact that it gave me the breakthrough on areas to be focused on and the basics to undertake. I found the population pattern in my second season as I applied the judgment form of sampling. In this stage, I was able to give the analysis of what I was surveying after sampling the data in a crude way in random sampling (U.S. Geological Survey, n.d.).
Benefits Of Survey Strategy
My sampling methods helped me understand the pattern that the population follows in the region through the application of computer-aided software and different sampling methods. 20% sampling was sufficient based on the fact that it was not such a big range of the population I was dealing with, nor was it a big area. 40% was much better since it covered more data per square. I can suggest my ideal percentage to be 20% since it acted its acts as my mean statistical data collection and central data.
Conclusion
I have tackled different areas of concern based on the analysis and interpretation of the statistical data collected by the sampling technique in relation to the settlement versus the way it relates to the topographical features in the region. I therefore conclude that the methods I used in this process were effective and gave me a basis for analysis of the data and proof of the hypothesis I set across.
References
U.S. Geological Survey. (n.d.). Topographic maps. https://www.usgs.gov/programs/national-geospatial-program/topographic-maps
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