Hey there! I’m happy to help!
NUMBER 15
To solve this problem we want to round to the nearest millionth. We cannot actually write out the entire number because it goes on forever, but we can expand long enough so we can round it the millions place.
One million has six zeroes. This means that a millionth is six decimal places over (0.000001 is one millionth). Same goes for other base ten numbers (100 has two zeroes, one hundredth is two decimal places over)
We see that there is a line over the 45 in our decimal. This means that after this 45 it is going to go 4545454545.... forever. We want to round to the nearest millionth. However, when you round, you need the next digit over. Let’s expand our to the ten millionth (seven digits.)
6.2145454............
Now, we look at our millionths place. The next place over is four. Therefore, we round down. Therefore, the answer is D) 6.214545
QUESTION 18
Solving questions like this is very simple. With proportions (two equal ratios of fractions) the product of the diagonal sides are equal. So, you just multiply the two numbers that are diagonal from each other and then divide it by the other number and you have your x. If you want, I can explain to you more why this works.
7(2/7)=2
2/2 1/4= 8/9
Therefore, the answer is 8/9.
I hope this has been helpful! If you need anymore help please ask! :D
Answer:
100
Step-by-step explanation:
i got it right on the test !!
Hi there!
Sometimes, like you said, you might don't get the exact answer when you justified your answer. In this case, you need to take the nearest number. So if you got 11 then 12 is the nearest number, just go for it.
Or go back and start over and see if you didn't miss anything.
I hope this helps!
Answer:
The given probability distribution is a discrete probability distribution.
Step-by-step explanation:
We are given the following in the question:
x: 3 4 7
P(X=x): 0.19 0.3 0.51
Property of discrete probability distribution:
If the given probability distribution satisfies this property then, it is a discrete probability distribution.
Thus, it satisfies the property for a discrete probability distribution.
Thus, the given probability distribution is a discrete probability distribution.
Answer:
530
Step-by-step explanation:
