Answer:
Step-by-step explanation:
The first thing you ought to do is find out what you are trying to get. Desmos is an ideal program to do that if you don't have a graphing calculator. Just search for Desmos. It is pretty obvious once you get there. I've enclosed the graph to show you what it looks like.
Notice what happens around 5. The graph splits because effectively, you are dividing by 0 when you put 5 into the denominator. The question arises why doesn't the same thing happen at 0. It should: There is a discontinuity but it is very tiny. So the domain numbers that you should graph are
-1 0™ 1 2 3 4 4.5 4.8 5.3 5.4 6 7
™I wouldn't make 0 a part of this domain. But you can indicate with a dot where the graph goes.
I haven't filled in the range numbers. That's your job. All you have to do is fill in the table with points. Or you can put them on the graph that I have enclosed just to see where they points belong.
A graph is not to convey accuracy. It is to show the shape of function in question.
V=<span>π r^(2)h
you put the number in the place of the R and H</span>
Answer:
9 and 3
Step-by-step explanation:
Let the first number be x and second number be y hence their sum
x+y=12 ......(1)
Making x the subject theb x=12-y
Three times be first number is 3x
3x-y=24.......(2)
Adding the two sets of equations then
4x=36
X=36/4=9
The second number will be 12-9=3
So the first number is 9 and second is 3
Answer:
percent= 33.33% decimal= .33333333
Step-by-step explanation:
think of 3/3 as 100 and 1/3 as a part of that. divide 100 by 1/3
Answer:
A Normal approximation to binomial cannot be applied to approximate the distribution of <em>X</em>, the number of computer crashes in a day.
Step-by-step explanation:
Let <em>X</em> = number of computers that will crash in a day.
The probability of a computer crashing in a day is, <em>p </em>= 0.99.
A random sample of <em>n</em> = 131 is selected.
A random computer crashing in a day is independent of the others.
The random variable <em>X</em> follows a Binomial distribution with parameters <em>n</em> = 131 and <em>p</em> = 0.99.
But the sample size is quite large, i.e. <em>n</em> > 30.
So the distribution of <em>X</em> can be approximated by the normal distribution if the following conditions are fulfilled:
Check whether the conditions satisfy or not:
The second condition is not fulfilled.
A Normal approximation to binomial cannot be applied to approximate the distribution of <em>X</em>, the number of computer crashes in a day.
