The table containing the data needed for this problem is attached on this answer. This data is used to determine the best fit line that is extracted from this multitude of points given. Best fit line is described as a line in which the variation of each point to the line is the minimum. We plot the data using MS Excel and is shown in the figure attached as well. We determine the trendline of the graph by the function in MS Excel. The equation of the trendline is expressed as <span>y = -26.059x + 722.63 in which the coefficient of determination, r^2 = 0.8947. </span>
Answer:
m=4
Step-by-step explanation:
Since we know that quadrilateral ABCD is similar to QRST, we know that the side lengths will be proportional to one another. As such, we should take a ratio to determine the side length of m.
m=4
Answer:
a) P=0.535
b) P=0.204
c) P=0.286
Step-by-step explanation:
The exponential distribution is expressed as
In this example, λ=1/8=0.125 min⁻¹.
a) The probability of having to wait more than 5 minutes
b) The probability of having to wait between 10 and 20 minutes
c) The exponential distribution is memory-less, so it is independent of past events.
If you have waited 5 minutes, the probability of waiting more than 15 minutes in total is the same as the probability of waiting 15-5=10 minutes.
13/23% = 1300/23 (56.52)
<em>Therefore, 13 is 29% of 1300/23 (56.52)</em>
Hello!
If Kong took a 85 second and we if Nolan took 15 slower then Nolan took a 72.25 second test. First you would find 14 percent of 85 then that is 12.75. Minus that from 85 and you get 72.25.
Hope It helps!
