Answer:
1. False
2. True
3. True
Step-by-step explanation:
Remark
The point of this question is to encourage you to make use of your calculator. Every calculator can find square roots as far as I know.
Givens
= 8.367
= 8.49
= 8.77
One
Point A is roughly 8.15. The square root of 70 is over 8.3 So square root 70 is to the right of point A. False.
Two
Square root 72 is 8.49. B is 8.3 and C is 8.6. The statement is True
Three
sqrt(77) = 8.77. Point D is 8.75. The answer is true, but I wouldn't want to bet money on it. The difference is slightly less than 2 100s.
Answer:
Total surface area of cube = 294 cm²
Step-by-step explanation:
Given:
Perimeter of cube = 84 cm
Find:
Total surface area of cube
Computation:
Perimeter of cube = 12 x side
84 = 12 x side
Side = 7 cm
Total surface area of cube = 6(a)²
Total surface area of cube = 6(7)²
Total surface area of cube = 294 cm²
The answer is 3. This is because, where are you see f(x) and instead of the X it is -1, then X equals -1 and once you find the point of X negative one you’ll find the y point which is what it is looking for
Answer: Sorry
Step-by-step explanation: What table? I would love to help you but I need to see the table you are talking about. :(
Answer:
And we can find this probability using the normal standard table or excel:
Step-by-step explanation:
Previous concepts
Normal distribution, is a "probability distribution that is symmetric about the mean, showing that data near the mean are more frequent in occurrence than data far from the mean".
The Z-score is "a numerical measurement used in statistics of a value's relationship to the mean (average) of a group of values, measured in terms of standard deviations from the mean".
Solution to the problem
Let X the random variable that represent the amount of ml of a population, and for this case we know the distribution for X is given by:
Where 
and 
We are interested on this probability
And the best way to solve this problem is using the normal standard distribution and the z score given by:
If we apply this formula to our probability we got this:
And we can find this probability using the normal standard table or excel:
