The number that 7 belongs to is a rational number.
<h3>What is a rational number?</h3>
It should be noted that a rational number is a number that is expressed as the ratio of two integers.
In this case, the denominator should not be equal to zero, whereas an irrational number cannot be expressed in the form of fractions.
Rational numbers are terminating decimals but irrational numbers are non-terminating and non-recurring.
Therefore, the number that 7 belongs to is a rational number.
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Probability theory, a branch of mathematics concerned with the analysis of random phenomena. The outcome of a random event cannot be determined before it occurs, but it may be any one of several possible outcomes. The actual outcome is considered to be determined by chance.
A system of equations has an infinite number of solutions when after solving the system, you end up with a true statement.
For example, let’s say you solve a system of equations and your result is 5=5. 5=5 is a true statement, but it doesn’t tell us anything about the x or y value solutions to the system. So because we’re only left with 5=5, there are infinite solutions to the system.
First, put them directly above each other.
5a+2s=48
3a+2s=32
You need to combine these, but in order to do so, we want to get rid of one of the letters. The S's line up very well, and all we need to do is multiply the bottom equation by a negative 1. This will look like this,
-3a-2s=-32 (and add it to the other equation)
5a+2s=48
This gives you
2a=16
Divide both sides by 2 to get a by itself.
a=8, is your answer!
If it asked for s, you would put 8 into whichever equation seems easier for you, and then its just simple crunching it out.
Hope this helped!
Answer:
We know that the total area under the normal curve is 100%. According to the empirical rule of Normal distribution:
Approximately, 68% of data lies within
standard deviations of mean.
Approximately, 95% of data lies within
standard deviations of mean.
Approximately, 99.7% of data lies with
standard deviations of mean,
Therefore, in a normal curve, roughly 95% of all cases fall within plus or minus two standard deviations.