Answer:
i.-34ft/s
ii.-27.6ft/s
iii.-26.8ft/s
iv-26.7ft/s
B.-26ft/s
Step-by-step explanation:

For all cases the value of the initial time 
now we also use this time ti determine the value of the initial height in all cases

now when the time is increase by 0.5 seconds the new height becomes

the velocity becomes
![[tex]Average velocity = \frac{-5-12}{2.5-2}\\Average velocity = -34ft/s\\](https://tex.z-dn.net/?f=%5Btex%5DAverage%20velocity%20%3D%20%5Cfrac%7B-5-12%7D%7B2.5-2%7D%5C%5CAverage%20velocity%20%3D%20-34ft%2Fs%5C%5C)
ii. when the time is increase by 0.1 seconds
the new height becomes


iii. when the time is increase by 0.05 seconds
the new height becomes


iv. when the time is increase by 0.1 seconds
the new height becomes

.
B. For us to determine the instantaneous velocity expression, we differentiate the expressing for the height

we now substitute t=2, we arrive at

Area of circle = pi x radius squared where pi = 3.1416 radius = diameter/2 = <span>4/2 = 2 ins Area = 3.1416 x 2 x 2 sq.ins. = 12.5664 sq in.</span>
Answer:
-6
Step-by-step explanation:
4(2x+12)=0
8x+48=0
8x=-48
x=-6
Answer:
By the Chebyshev Theorem, at least 75% of commuters in Boston has a commute time within 2 standard deviations of the mean
Step-by-step explanation:
Chebyshev Theorem
The Chebyshev Theorem can also be applied to non-normal distribution. It states that:
At least 75% of the measures are within 2 standard deviations of the mean.
At least 89% of the measures are within 3 standard deviations of the mean.
An in general terms, the percentage of measures within k standard deviations of the mean is given by
.
What minimum percentage of commuters in Boston has a commute time within 2 standard deviations of the mean
By the Chebyshev Theorem, at least 75% of commuters in Boston has a commute time within 2 standard deviations of the mean
Answer:
0.1502 = 15.02% probability that exactly 13 of them use their smartphones in meetings or classes
Step-by-step explanation:
For each adult smartphone users, there are only two possible outcomes. Either they use the phone in meetings or classes, or they do not. The probability of an adult using the phone in these settings is independent of any other adult. This means that we use the binomial probability distribution to solve this question.
Binomial probability distribution
The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

In which
is the number of different combinations of x objects from a set of n elements, given by the following formula.

And p is the probability of X happening.
58% use them in meetings or classes
This means that 
20 adult smartphone users are randomly selected
This means that 
Find the probability that exactly 13 of them use their smartphones in meetings or classes.
This is
. So


0.1502 = 15.02% probability that exactly 13 of them use their smartphones in meetings or classes