Answer:
5/6
Step-by-step explanation:
The slope is y change over x change so...
-2-3 over 1-7 which is -5 over -6 which is simplified to 5/6.
Hope this helps :D
Answer:the company bought 12 computers and 4 printers.
Step-by-step explanation:
Let x represent the number of computers that the company bought.
Let y represent the number of printers that the company bought.
The company buys a total of 16 machines. It means that
x + y = 16
Each computer costs $550 and each printer costs $390. If the company spends $8160 for all the computers and printers that was bought, it means that
550x + 390y = 8160 - - - - - - - - - - 1
Substituting x = 16 - y into equation 1, it becomes
550(16 - y) + 390y = 8160
8800 - 550y + 390y = 8160
- 550y + 390y = 8160 - 8800
- 160y = - 640
y = - 640/ - 160
y = 4
Substituting y = 4 into x = 16 - y, it becomes
x = 16 - 4
x = 12
9514 1404 393
Answer:
48°
Step-by-step explanation:
Supplementary angles total 180°.
m∠A +m∠B = 180°
(6x -30)° +(8x +28)° = 180°
14x = 182 . . . . . . . . . . . . . . . . divide by ° and add 2
x = 13 . . . . . . . . . . . . . . . . . . . .divide by 14
Then the measure of angle A is ...
m∠A = (6·13 -30)° = 6(13 -5)° = 6·8°
m∠A = 48°
Answer:
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 complement rule and the normal standard table and we got:
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 problem
Let X the random variable that represent the variable of interest 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 complement rule and the normal standard table and we got:
Answer:
I can't see the graph
Step-by-step explanation: