Answer:

And we can find the individual probability like this:

And replacing we got:

Step-by-step explanation:
Assuming the following question: With the salary cap in the NFL, it is said that on any given Sunday any team could beat any other team. If we assume every week of the 16 week season a team has a 50% chance of winning, what is the probability that a team will have at least 1 win?
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
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 this probability:

And using the complement rule we got:

And we can find the individual probability like this:

And replacing we got:

Answer:
5
Step-by-step explanation:
The easiest way is to subtract.
2.75 - (-2.25) = 2.75 + 2.25 = 5
Answer:
Step-by-step explanation:
a) if the population at the beginning of the year 2000 was 7500 people,
The 1-year percent change in the city's population would be
3.6/100 × 7500 = 270
b) The population after 1 year is
7500 - 270 = 7230
The percentage of the previous value of the population to its new value for each year is
7230/7500 × 100 = 96.4%
c) the 1-year growth factor for the population of the city would be
(1 - 0.036)^1 = 0.964
d) the function, g that determines the population of the city (in thousands of people) in terms of the number of years t since the beginning of 2000 would be
g = 7500(1 - 0.036)^t
g = 7500(0.964)^t
The 3 in 350 represents 300
because 350=300+50+0, that is: 3 one hundreds +5 tens +0 ones
The 3 in 403, represents 3 because 403 = 400+3 that is 4 one hundreds, 0 tens and 3 ones.
Thus the 3 in the number 350 and the 3 in the number 403 are not the same.
The 3 in the number 350 is one hundred time the 3 in the number 403.
Answer: The 3 in the number 350 is one hundred time the 3 in the number 403.