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antiseptic1488 [7]
2 years ago
11

Are total emissions or per-capita emissions a better gauge when comparing the co2 emissions of various countries? why? emissions

per capita is a better gauge because countries with higher populations would be expected to have higher co2 emissions. total emissions are a better gauge because they let you see how much each country is producing. emissions per capita is a better gauge because it shows the number of people divided by the emissions per country. total emissions are a better gauge because it doesn't use the population.
Mathematics
1 answer:
algol132 years ago
4 0

The emissions per capita measurement is a better because it shows the number of people divided by the emissions.

<h3>What is the difference between total emissions and emissions per capita?</h3>

The emissions per capita show the emissions per each citizen or inhabitant, while the total emissions show only the emissions of the country.

<h3>Which one is better?</h3>

The per capita gauge is better because whether a country is polluting more or not depends on how much each citizen pollutes. This information is useful to create laws that reduce pollution.

Learn more about pollution in: brainly.com/question/23857736

#SPJ1

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Test scores are normally distributed with a mean of 500. Convert the given score to a z-score, using the given standard deviatio
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Answer:

The percentage of students who scored below 620 is 93.32%.

Step-by-step explanation:

Problems of normally distributed samples are solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

In this question, we have that:

\mu = 500, \sigma = 80

Percentage of students who scored below 620:

This is the pvalue of Z when X = 620. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{620 - 500}{80}

Z = 1.5

Z = 1.5 has a pvalue of 0.9332

The percentage of students who scored below 620 is 93.32%.

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