Answer:
80 90 10
if its wrong pls tell me and i will try again
Step-by-step explanation:
Answer:
45.05 seconds
Step-by-step explanation:
Use the formula: d = v t + a
d = distance v = initial velocity (m/s)
t = time (s) a = acceleration (m/)
m is meters and s is seconds. They are units of measurement so leave them be.
Assuming the object is simply dropped, the initial velocity is 0 since the object was not moving before it was dropped.
The distance is 725 feet, which is 220.98 meters.
The acceleration is 9.81m/ since that is the acceleration of Earth's gravity, aka free fall.
Time is what we are trying to find so just leave it as the variable t.
So plug the values into the equation:
220.98m = (0)(t) + (9.81m/)(t)
220.98m = (4.905m/)(t)
45.0519877676s = t
t = 45.05s
Remember to pay attention to units because your answer will be wrong otherwise
STEP 1: Compute the mean
The mean of the dataset is the sum of the elements divided by their number:
STEP 2: Compute the residuals
You have to compute the difference between every element and the mean:
Step 3: Square the residuals:
Step 4: Sum the squared the residuals:
Step 5: Divide by the number of elements in the dataset:
Step 6: Consider the square root of the result:
The formula we used is
where is the standard deviation, are the elements in the dataset, is the number of elements in the dataset, and is the mean of the dataset.
Answer:
uniformly distributed random numbers here the MATLAB code to find for any number of people and interval
X = rand
X = rand(n)
X = rand(sz1,...,szN)
X = rand(sz)
X = rand(___,typename)
X = rand(___,'like',p)
where
X = rand returns a single uniformly distributed random number in the interval (0,1).
X = rand(n) returns an n-by-n matrix of random numbers.
X = rand(sz1,...,szN) returns an sz1-by-...-by-szN array of random numbers where sz1,...,szN indicate the size of each dimension. For example, rand(3,4) returns a 3-by-4 matrix.
X = rand(sz) returns an array of random numbers where size vector sz specifies size(X). For example, rand([3 4]) returns a 3-by-4 matrix.
X = rand(___,typename) returns an array of random numbers of data type typename. The typename input can be either 'single' or 'double'. You can use any of the input arguments in the previous syntaxes.
X = rand(___,'like',p) returns an array of random numbers like p; that is, of the same object type as p. You can specify either typename or 'like', but not both.