Answer:
The projections, if they play out, illustrate the potential magnitude of decisions such as the recent one by President Trump to walk away from the international Paris climate accord, in which more than 170 countries agreed to slash their carbon emissions in coming years. Meanwhile, hundreds of governors, mayors and other elected officials have vowed to continue the shift toward cleaner sources of energy.
Hsiang acknowledged that despite the researchers’ efforts to use sound statistical approaches and a wealth of databases, calculating the future costs of climate change is inherently uncertain. Communities are likely to adapt and become more resilient. Industries evolve and relocate.
Delavane Diaz, a senior technical leader at the Electric Power Research Institute, agreed that the study has limitations. For one, it fails to account for how humans will probably plan for and respond to the changing climate. Still, she said, the conclusions provide an important glimpse of the economic risks the United States could face as global warming worsens.
Explanation:
Answer:
It is necessary to make the following assumptions when making inferences about a group of people based on a sample of subjects drawn from that group:
- Data is quantitative in nature.
- A sample size of 30 or more is required.
- The data set must consist of a simple random sample.
- A Normal Distribution must be present in the data.
The data must come from a sample that isn't all the same size so that it can be generalized well.
The sample size must be at least 30 or more, according to the central limit theorem.
Mean and standard deviation are two examples of quantitative data from which statistical conclusions can be drawn.
To avoid bias, the sample size should be increased rather than the distribution skewed.
Explanation:
<em>I hope this helps you</em>
<em>:)</em>
Milankovitch cycle, its named for the man who theorized it
