Plllsss answer! I don't understand this question.
1 answer:
Answer:
C and D
Step-by-step explanation:
Population density is the ratio of population to area. Its units are persons per square mile. Here, you're being asked to compare the population densities of several countries to the average population density in several US states.
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<h3>average</h3>The idea of "average population density of the 10 states listed" is somewhat ambiguous. It could mean either of (a) the ratio of the total of the states' population to the total of their land area, or (b) the average of the population densities of the states. (In the attached, we computed both, but the answer remains the same using either number.)
When there are numerous identical calculations to be performed, it is convenient to let a spreadsheet do them. The attached spreadsheet shows the population densities for the 10 states and 5 countries listed.
Depending on how you define it, the average population density of the 10 states is about 10.5 or about 15.7 people per square mile. (15.7 is the average of the density numbers, found using the spreadsheet AVERAGE function.)
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<h3>countries</h3>The 5 countries have population densities ranging from about 7.7 to 236 people per square mile. Two of the countries have density below 10.5, so are the answers to the question asked.
Canada (C) and Iceland (D) have population density below the US state average.
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We are asked to determine what happens to the values of 
as 
approaches 
using values of less than 
AND using values of greater than .
<span>Observe from the graph that as </span> approaches from the left or the right, the values of increase without bound.
Therefore, we know the following.
<span>Observe from the graph that as </span>
Therefore, we know the following.
Answer:
The probability that a man in this age category does NOT die of cancer during the course of the year is 0.997.
Step-by-step explanation:
Suppose the probability of an event occurring is .
The probability of the given event not taking place is known as the complement of that event.
The probability of the complement of the given event will be,
In this case an events <em>X</em> is defined as a man, aged 55 - 59, will die of cancer during the course of the year.
The probability of the random variable <em>X</em> is:
Then the event of a man in this age category not dying of cancer during the course of the year will be complement of event <em>X, </em>denoted by<em> X</em>'.
The probability of the complement of event <em>X</em> will be:
Thus, the probability that a man in this age category does NOT die of cancer during the course of the year is 0.997.