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natita [175]
3 years ago
11

How can math tools help you detect errors or inaccuracies in data

Advanced Placement (AP)
1 answer:
inn [45]3 years ago
7 0
Math tools can make you answer more accurate in an estimation.  It is also easier to detect if there is inaccurate data. For example, measuring liquid substances. It makes your answer seem more organized and accurate.
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Help!!! I can't figure this one out!!
mixer [17]

Answer:

2x-15+11x=180

Explanation:

Both of the angles make up a straight angle, which is a total of 180 degrees. You basically add up both of the agles which make 180 and you solve from there.

6 0
2 years ago
U.S. Whites have shown the least amount of social distance towards people from?
Lera25 [3.4K]
The choices for the above question are:
a. eastern Europe.
b. northern Europe.
c. Africa.
d. Latin America.

U.S. Whites have shown the least amount of social distance towards people from Latin America. The answer to your question is D. I hope that this is the answer that you were looking for and it has helped you.
7 0
3 years ago
In operant conditioning, the concept of contingency is exemplified by an "if A, then B" relationship in which A and B, respectiv
Musya8 [376]

Answer: B. behavior, consequence

Explanation:

Operant conditioning is simply refered to as a learning method whereby for a behavior that is done by an individual, there is a rewards and punishments for behavior.

In operant conditioning, the concept of contingency is exemplified by an "if A, then B" relationship in which A and B, respectively, represent behavior, and consequence.

3 0
2 years ago
Why was industrialization concentrated in the northern United States until the mid-twentieth century? The South lacked infrastru
ser-zykov [4K]

Answer:  The South lacked infrastructure.

Explanation:

The Northern part of the United States was much more industrialized than the South and this contributed in no small part to the Union victory during the Civil War.

The major reason for this was the extensive infrastructure that had been built in Northern states such as Railroad network and the ship building industries of New England. With such infrastructure providing access to markets, more industries were set up in the North to take advantage of this accessibility.

8 0
2 years ago
What is dispersal and elevation ?​
Kobotan [32]
Little is known about how mutualistic interactions affect the distribution of species richness on broad geographic scales. Because mutualism positively affects the fitness of all species involved in the interaction, one hypothesis is that the richness of species involved should be positively correlated across their range, especially for obligate relationships. Alternatively, if mutualisms involve multiple mutualistic partners, the distribution of mutualists should not necessarily be related, and patterns in species distributions might be more strongly correlated with environmental factors. In this study, we compared the distributions of plants and vertebrate animals involved in seed‐dispersal mutualisms across the United States and Canada. We compiled geographic distributions of plants dispersed by frugivores and scatter‐hoarding animals, and compared their distribution of richness to the distribution in disperser richness. We found that the distribution of animal dispersers shows a negative relationship to the distribution of the plants that they disperse, and this is true whether the plants dispersed by frugivores or scatter‐hoarders are considered separately or combined. In fact, the mismatch in species richness between plants and the animals that disperse their seeds is dramatic, with plants species richness greatest in the in the eastern United States and the animal species richness greatest in the southwest United States. Environmental factors were corelated with the difference in the distribution of plants and their animal mutualists and likely are more important in the distribution of both plants and animals. This study is the first to describe the broad‐scale distribution of seed‐dispersing vertebrates and compare the distributions to the plants they disperse. With these data, we can now identify locations that warrant further study to understand the factors that influence the distribution of the plants and animals involved in these mutualisms.

Introduction
A central problem in ecology is to understand the patterns and processes shaping the distribution of species. There is a preponderance of studies of species richness at broad geographic scales (Hawkins et al. 2003, Rahbek et al. 2007, Stein et al. 2014, Rabosky and Hurlbert 2015) that has facilitated our understanding of why species are found where they are, a central tenet within the domain of ecology (Scheiner and Willig 2008). Most commonly, these studies find species distributions to be correlated with resource availability and use environmental variables (e.g. temperature and productivity; Rabosky and Hurlbert 2015) to explain putative determinants of the distributions. Environmental variables are only one determinant of species’ distributions. Another, species interaction, is a key and understudied determinant of species’ distributions (Cazelles et al. 2016). In fact, in some cases species interactions may be more important for determining distribution than environmental variables (Fleming 2005).

When species interact, we expect their geographic distributions to be correlated – either positively or negatively – depending on the effect (or sign of the interaction) of one species on the other (Case et al. 2005). For pairwise interactions, where one species benefits from another species, a positive relationship is expected between the distribution and abundance due to the increase in the average fitness of the benefitting species where they overlap (Svenning et al. 2014). Furthermore, most species interactions are not simply pairwise, but diffuse, consisting of multiple interacting species, here referred to as guilds (with guilds referring to species that use the same resource). It therefore follows that where one guild benefits from another guild, a positive relationship is expected between the distribution and richness of the guids. This should be true in the case of mutualisms, where both sides of the interaction share an increase in average fitness from being together (Bronstein 2015), and there is some evidence for correlated geographic distributions of mutualists in the New World (Fleming 2005). One example of a mutualism where both sides of the interaction have a fitness advantage in each other's presence is animal‐mediated seed dispersal. Because both interacting species and guilds in seed dispersal mutualism benefit from the relationship we would predict that the richness of animal‐dispersed plants ought to be correlated with the richness of their animal dispersers and vice versa. To our knowledge, this prediction has never been tested on a large geographic scale.
3 0
3 years ago
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