Figure 1: These line graphs illustrate the 12 samples that derived from the 6 data pairs for each pasture. To restate, these samples were collected from two pasture sites in the BLM’s Twin Lakes grazing allotment of Davenport, Washington. The first graph (a) represents the wet weight (kg/ha) in the function of the ocular estimate (kg/ha); whereas, the second graph (b) represents the dry weight (kg/ha) with the function of the estimated wet weight (kg/ha). A trendline, best fit linear equation, and R2 values were added. Upward slopes are observed.
Table 1: This table summarizes the two-sample t-test analysis from SPSS of the estimated dry weight statistics at sites 1 and 2. At each site, there was a sample size of 20. The mean of
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However, there may be errors in measurements due to this type of sampling method. For instance, the estimation may be subjective and that clipping other unnecessary things such as the standing dead or floral structure may affect the results of the wet and dry weight. Factors that may influence the accuracies of the estimates of wet and dry biomass weights may also include human error. If the wet weight was not dried for the dry weight estimate, then the value retrieved would be incorrect with a high error value. In this study, clipping was used to of a defined area/ quadrat. Factors that might influence the differences found between sites for objectives 1 and 2 were the plant composition, site productivity, and relative rangeland health. Practical considerations that might be drawn from the results from a range management perspective would be to acknowledge the invasive species and abundancy. In terms of forage resources and ecological health of these pastures is not so great with the cheatgrass increasing in abundancy when it is an invasive species. In terms of any improvements, I believe the experimental design was good enough. We received data points that suggested trends and gave us a description of the ecological site. However, if anything it would be better to have more estimation practice before taking the real measurement for data analaysis. Since only two sites were studied
We conduct an independent sample t-test using Excel, and obtain the following output (see t-test-height)
On September 17th, 2015 our group went on the Orange Trail of the State Botanical Garden of Georgia in Athens, Georgia to collect data for our lab. The biome of this area that we explored fit a temperate deciduous forest type. We walked along the trail and picked random spots to start measuring our transects. We measured DBH size and canopy coverage at 10, 20, 30, and 40 meters respectively along each transect for a total of six transects. We used a densitometer to measure the percent of canopy coverage of the tree closest to the center of the sampling points along each of the transects. We used a measuring tape to measure out 10, 20, 30, and 40 meters respectively along each of the six
1 The U.S. Bureau of Land Management has stepped in to provide restorative practices upon 500,000 acres of heavily degraded public grasslands. This land is suffering from severe soil erosion as well as degradation due to overgrazing. The suppression of natural fires has caused shrubs and invasive weeds to encroach upon the grasslands. A full scale assessment will take place on this land before restoration efforts begin. The first thing that would need to be assessed is the soil, for it is eroding and holding little nutrient value. Samples would be taken of this soil from various parts of the grasslands including the eroded gullies. Each soil sample would be taken from at least 1 foot below the surface, to test for carbon richness below the topsoil. These would then be tested for texture, density, water retention, and chemical composition. Typically, powerful, healthy soil will contain amounts of both Nitrogen and Phosphorous, which are essential nutrients in sustainable plant growth. These samples would also be tested for any build-up of salts, something known as soil salinization. Unhealthy, salinized soil is created over years of over-hydrating and deep plowing. Excess water will suffocate root systems of once-healthy crops, and salinized soils will reduce crop output up to 20% (Withgott &Brennan, 2011). The next assessment would be in the shrubs and invasive weed species on the land. Knowing the volume and location of these plants gives way to a better understanding of
Topics Distribution of the sample mean. Central Limit Theorem. Confidence intervals for a population mean. Confidence intervals for a population proportion. Sample size for a given confidence level and margin of error (proportions). Poll articles. Hypotheses tests for a mean, and differences in means (independent and paired samples). Sample size and power of a test. Type I and Type II errors. You will be given a table of normal probabilities. You may wish to be familiar with the follow formulae and their application.
The null hypothesis was that the female and male shoe sizes have an equal mean while the alternative hypothesis was that female and male shoe sizes do not have an equal mean. With the degrees of freedom being 33, the t-statistic is -8.27. The probability that -8.27 is ≤-1.69 is 7.5×10-10 for the one-tailed test. Also, the probability that -8.27 is ≤ ±2.03. is 1.5×10-9 for the two-tailed test. Due to both probabilities being under the alpha value of 0.05, the null hypothesis is rejected, and the alternative hypothesis is accepted at the 95% confidence level.
The compiled data was used to form population A of the experiment, while population B was predetermined and provided by the instructor. Research was conducted using primary sources and data collected in order to locate evidence supporting the hypotheses.
It examines the how browsers can encourage positive conditions for temperate forest soils, such as providing extra nitrogen in the soils as a fertilizer. They found evidence that deer populations promote plant species biodiversity because it promotes invasive species that thrive off of degradation and habitat disturbance. Also, researchers found one cost about deer browsing was that even though it promotes plant biodiversity, it also decrease the amount of palatable, or edible, plant species. This is useful in my paper because it provides a different outlook of the effects of deer because most articles are negative towards deer browsing. The authors of this paper all work for the United States Department of Agriculture Forest Service as research ecologists, all have their doctorates in ecology and/or biology. This finding sharply contrasts with the negative impact that deer have when their populations kill and over browse, harming native plant
The rangelands of the west are the legendary rolling hills and wide-open spaces of American history and folklore. Federal and nonfederal rangelands include grasslands, deserts, tundra, mountains, canyons, and riparian areas. Federal rangelands are primarily managed by the Bureau of Land Management, an agency of the U.S. Department of the Interior, and the U.S. Forest Service, an agency of the U.S. Department of Agriculture. Rangelands include wilderness areas and provide habitat for millions of plants, wild animals, and fish, including 74 threatened or endangered species (“Rangeland Health”). Rangeland is the base of forage for most of the livestock industry in America. They also provide recreational opportunities, wildlife habitat, and off-site
What made this location different than the other two locations was that it was set on private land rather than public land. The vegetation was dominated by sugar maple, with more red oaks than in the first site. The canopy was not as closed as the first location but still consisted of coverage of about 90%. Pleasant Mile Woods had less foot traffic than that of the Kettle Moraine State Park, being that it is a private land, and had more wind than the previous location due to the increase in farmland surrounding the patch of woods. The final location, Kohler-Andrae State Natural Area, is right off the shore of Lake Michigan and the part of the site which was surveyed was the woody area off of Black River Trail. Once again, this area was heavily shaded and dominated with sugar maple. This site had the most foot traffic due to the occurrence of more trails and surrounding lakeside suburbs along with having more wind than the other two locations. At each of the locations, square quadrats of 10 meters in length were sampled using a stratified random sampling technique. At each location, a total of 25 quadrats were analyzed leading to a total of 75 total
1. What are the two groups whose results are reflected by the t ratios in Tables 2 and 3? The two groups are pre-test and 3-month measures and pre-test and 6-month measures.
23. The appropriate alternative hypothesis for a two-tail test to determine if mean body weight of all the men who have joined a health club is the same as 185 pounds would be
2. Which t ratio in Table 2 represents the greatest relative or standardized difference between the pretest and 3 months outcomes? Is this t ratio statistically significant? Provide a rationale for your answer.
After conducting a t-test and regression in R, we can conclude that vegetation cover differs on and off a prairie dog colony meaning that prairie dogs have a significant effect of grassland vegetation by increasing vegetation richness and diversity. As we already said, there was a greater variety of plants in the grassland region with prairie dogs than in the region without prairie dogs. The fact that there is more vegetation on a prairie dog colony region than off a prairie dog colony suggests that sites inhabited by prairie dog populations will have a richer distribution of plants and a healthier prairie ecosystem.
In comparison of the burned forest (forest A) and the unburned forest (forest C), it was found that the evidence rejected the null hypothesis that there would be a significant difference between the leaf litter depths of the two forest types (d.f. 49, p= 0.0036, t= 3.061). Further analysis shows that the unburned forest has a leaf litter depth mean of 2.97 cm and a standard deviation of 0.935. The burned forest was represented by a mean of 3.93 cm and a standard deviation of 1.26. The data collected also found that according to the Shapiro-Wilk test, there is not enough evidence to reject our null hypothesis that there would be a normal distribution in the leaf litter depths between the unburned forest (W=0.96, p=0.4341) and the burned forest
woodland was already selected, which was less than 2 miles. The distance to a pasture hayland was also already scored with a 3 for the woodland and old field. The distance to cropland or food plot was already given, the woodland got a 6 and the old field got a 3. Finally, they both got a 6 for percent woodland within a 2 mile wide circle. All of the each individual scores can be seen above in the bullets. The final score for the woodland was a 79 out of a 95. The old field got a 45 out of a 65.