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11111nata11111 [884]
3 years ago
6

Emily works at a concession booth for summer sports. Hotdogs are $1.50 and sodas are $0.50. At the end of the night she made a t

otal of $78.50. To replenish her stock she needs to know how many of each were sold. 35 hotdogs were sold, how many sodas were sold?
Mathematics
1 answer:
pav-90 [236]3 years ago
4 0

Answer:

52 sodas

Step-by-step explanation

h=hotdogs

s= sodas

1.5h+.5s=78.5

You know that Emily sold 35 hotdogs so you replace h with 35.

Therefore, 1.5(35)+.5s=78.5

52.5+.5s=78.5

.5s=26

s=52

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I believe x equals one
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A real estate agent has 17 properties that she shows. She feels that there is a 60% chance of selling any one property during a
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Answer:

P(X\leq 5)

And we can find the individual probabilities like this:

P(X=0)=(17C0)(0.6)^0 (1-0.6)^{17-0}=0.000000171  

P(X=1)=(17C1)(0.6)^1 (1-0.6)^{17-1}=0.00000439  

P(X=2)=(17C2)(0.6)^2 (1-0.6)^{17-2}=0.0000526  

P(X=3)=(17C3)(0.6)^3 (1-0.6)^{17-3}=0.000394  

P(X=4)=(17C4)(0.6)^4 (1-0.6)^{17-4}=0.00207  

P(X=5)=(17C5)(0.6)^5 (1-0.6)^{17-5}=0.000807  

And adding we got:

P(X\leq 5) = 0.0106

Step-by-step explanation:

Previous concepts

A Bernoulli trial is "a random experiment with exactly two possible outcomes, "success" and "failure", in which the probability of success is the same every time the experiment is conducted". And this experiment is a particular case of the binomial experiment.

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".

The probability mass function for the Binomial distribution is given as:  

P(X)=(nCx)(p)^x (1-p)^{n-x}  

Where (nCx) means combinatory and it's given by this formula:  

nCx=\frac{n!}{(n-x)! x!}  

The complement rule is a theorem that provides a connection between the probability of an event and the probability of the complement of the event. Lat A the event of interest and A' the complement. The rule is defined by: P(A)+P(A') =1

Solution to the problem

Let X the random variable of interest, on this case we know that:

X \sim Binom(n=17, p=0.6)

And we want this probability:

P(X\leq 5)

And we can find the individual probabilities like this:

P(X=0)=(17C0)(0.6)^0 (1-0.6)^{17-0}=0.000000171  

P(X=1)=(17C1)(0.6)^1 (1-0.6)^{17-1}=0.00000439  

P(X=2)=(17C2)(0.6)^2 (1-0.6)^{17-2}=0.0000526  

P(X=3)=(17C3)(0.6)^3 (1-0.6)^{17-3}=0.000394  

P(X=4)=(17C4)(0.6)^4 (1-0.6)^{17-4}=0.00207  

P(X=5)=(17C5)(0.6)^5 (1-0.6)^{17-5}=0.000807  

And adding we got:

P(X\leq 5) = 0.0106

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Step-by-step explanation:

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