Its B, i had the same test
Answer:
<h2>C, RANGLELAND</h2>
Explanation:
Rangeland can be described as a land which consists of grasses, shrubs, woods, wetlands etc which are ideal for the grazing of domestic and wetland animals. Hence, a rangeland is used for grazing livestock. Hence, option C is correct.
Other options, like option D, is not correct because an urban land supports city life. It is not ideal for the growing of crops as it contains pollution of the city.
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Bias can happen in sampling. The propensity of a sample statistic to systematically under- or
over-approximate a population is referred to as bias.
To add, in statistics, sampling bias is a bias in
which a sample is collected in such a way that some members of the
intended population are less likely to be included than others.
The following are some types of biases in Statistics:
Selection bias includes individuals being more
likely to be chosen for study than others, biasing
the sample. This can also be termed Berksonian bias
In statistical hypothesis testing, a
test is said to be unbiased if for some alpha level (between 0 and
1), the probability the null is not accepted is less than or equal to the alpha
level for the entire parameter space defined by the null hypothesis, while the
probability the null is rejected is greater than or equal to the alpha level
for the entire criterion space interpreted by the alternate hypothesis.
Answer:
b. muscle
Explanation:
The Sponges usually known as Porifera (pore bearers) are aquatic filter feeders. The sponges consist of structural materials (spongin, spicules) which are usually made of calcium carbonate and/or silica. These structures forms their skeletal materials giving their body a thin sheet of cells over a frame (skeleton). As invetebrate and at the unicellular level of organization, Sponges lack muscle.
Answer:
Inequalities in the exposure to environmental burdens and access to environmental benefits are an environmental justice concern for urban and regional environmental planning. Recent studies have assessed the exposure of different populations to a combination of environmental hazards through GIS-based Cumulative Environmental Impact Assessments (CEIA). The contribution of this study is the development of a CEIA, which incorporates the distance-based impact of transportation, the cumulative impact of environmental hazards, and access to environmental benefits for Santa Clara County (SCC), a highly diverse and rapidly developing region also known as ‘Silicon Valley’. Our results show that social vulnerability, cumulative environmental hazards, and environmental benefits exhibit distinct spatial patterns in SCC.
Explanation:
