Answer:
3520 ft/min
Step-by-step explanation:
40 mi/h = (40 mi/h)×(5280 ft/mi)×(1 h)/(60 min) = 3520 ft/min
_____
Each conversion factor has a value of 1 (numerator = denominator), so changes the units without changing the speed.
Answer:
The answer to your question is the first graph in the second line.
Step-by-step explanation:
First graph in the first line: it shows a positive graph that intercepts the y-axis in 5, then this graph is not the correct answer.
Second graph in the first line: it shows a negative graph, this option is incorrect, we look for a positive graph.
First graph in the second line: is correct because is a positive graph and intercpts the y-axis in 4.
Second graph in the second line: is incorrect although it is a positive graph, it intercepts the y-axis in 3.
Point t slope form:
y + y value = m (x + x value) where m is the gradient
Parallel line must have the same gradient as the two lines never meet, so the gradient must be 4. This eliminates option B and D.
Remember that point-slope form is still an equation, so the values of both sides must be equal. So let's substitute the given coordinates.
Option A:
y-6=4(x+2)
-6-6 (-12) does not equal to 4(-2+2) (0)
Option C:
y+6=4(-2+2)
-6+6 (0) = 4(-2+2) (0)
Therefore, option C is your answer.
Answer:
And using the probability mass function we got:
Step-by-step explanation:
Previous concepts
The binomial distribution is a "DISCRETE probability distribution that summarizes the probability that a value will take one of two independent values under a given set of parameters. The assumptions for the binomial distribution are that there is only one outcome for each trial, each trial has the same probability of success, and each trial is mutually exclusive, or independent of each other".
Solution to the problem
For this cae that one buggy whip would be defective is 
Let X the random variable of interest, on this case we now that:
The probability mass function for the Binomial distribution is given as:
Where (nCx) means combinatory and it's given by this formula:
And we want to find this probability:
And using the probability mass function we got:
Answer:
B
Step-by-step explanation:
