(-5,5)(3,-5)
slope = (y2 - y1) / (x2 - x1)
slope = (-5-5) / (3 - (-5)
slope = -10/(3 + 5)
slope = -10/8 = - 5/4 <== ur slope
Answer:
85
explanation:
too long
Answer:
P ( 108 < X < 120 ) = P ( -2 < Z < 0 ) = 0.4773
Option E
Step-by-step explanation:
Given:
- The estimated time for critical path u = 120 days
- The sum of variances along critical path Var = 36
Find:
What is the probability that the project can be completed between days 108 and 120?
Solution:
- The project always takes route of the critical path activities, hecne, we will ignore the activities that are not on critical path.
- We assume that the probability of completion time is normally distributed.
Normal probability distribution has two parameters- average and standard deviation.
- We will assign a random variable X as the number of days to complete activities on critical path. So,
X~ N ( 120 , sqrt(36) )
- We need to find the probability, compute the corresponding Z-scores:
P ( 108 < X < 120 ) = P ( (108 - 120)/ 6 < Z < 0 )
- Use the Z-Tables to look up the required probability:
P ( -2 < Z < 0 ) = 0.4773
Hence,
P ( 108 < X < 120 ) = P ( -2 < Z < 0 ) = 0.4773
Answer:
Step-by-step explanation:
There isn't really a correct answer, because reading the data associated the line will have a margin of error. What I read it as and what you read it as would be slightly different. With that said I will try my best.
I need at least two points on the line that seem accurate.
I like one point at Latitude 40 and temperature 51 call it 50 (40, 50)
Another point I like is Latitude 15 and temperature 81 or 80 (15, 80)
to find the line we use the slope and one point on the line
with two points you can calcuate the slope m = Δy / Δx
m = (50 - 80) / (40 - 15)
= -30 / 25
= - 1.2
now find the y intercept y when x = 0 (the x -axis)
y - y1 = m ( x - x1 ) point 1 (40, 50) slope of -1.2
y - 50 = -1.2 ( 0 - 40)
y = -1.2(-40) + 50 i combined a few steps here to solve for y
y = 98
so from your data and line I get an answer of
y = -1.2x + 98
to double check my answer I used a graphing calculator to do all of the work!
the graphing calculator (attached image) using linear regression got an answer of
y = -0.983667x + 103.9
Given that the cost of b burgers and h hot dogs is given by 3.25b + 2h.
Therefore, the cost of 4 burgers and 6 hot dogs is given by 3.25(4) + 2(6) = 13 + 12 = $25.
