Domain is: D = all real numbers
and Range is: R = {y | y > 0}
Option C is correct.
Step-by-step explanation:
We are given a function 
and we need to find domain and range of this function
Domain:
The domain of a function is the set of points for which the function is real and defined.
Since all the values give the result which is real and defined so domain is all real numbers.
Range:
The set of values of the variable that is dependent, the function should be defined.
So, all the values should be greater than 0 i.e {y | y > 0}
So, Domain is: D = all real numbers
and Range is: R = {y | y > 0}
Option C is correct.
Keywords: Domain and Range
Learn more about Domain and Range at:
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Answer:
x=72
Step-by-step explanation:
Multiply both sides by 9 (x=8 times 9)
x
- = 8
9
Let x = 72
72
_ =8
9
8=8
Therefore x =72
First we find the equation of the line. Notice that the line goes through the point (0,c). Since c is on the y-axis, c is the y-intercept. To find the slope take any two points and count the boxes (up or down) from one to the other. Divide that by the number of boxes (left and right) from one to the other. I chose (0,c) and (1,-1) so I traveled down 2 and right 1. Down (negative) 2 and right (positive) 1 gives me a slope of -2/1 = -2.
The equation of a line is given by y = my +b where m is the slope (here -2) and b is the y-intercept (here c). That makes the equation of the line y=-2x+c.
The shading occurs above the line so we use either greater than (>) or the greater than or equal to sign
. The way we decide is whether the line is solid (as it is here) or dashed. Here it is solid so we use greater than or equal to.
That makes the correct answer the 5th choice from the top:
If 5y-10=0 it would equal 2. Add ten to both sides and then divide 5 to both sides which leaves you with y=2
Answer:
The probability is 
Step-by-step explanation:
From the question we are told that
The sample mean is 
The standard deviation is 
The random number value is x =900
The probability that a trainee earn less than 900 a month is mathematically represented as
Generally the z-value for the normal distribution is mathematically represented as
So From above we have
Now from the z-table
