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Ludmilka [50]
4 years ago
13

Please help me this is very important due today

Mathematics
1 answer:
alexdok [17]4 years ago
4 0

Answer:

I'd say D) a worried young man

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20% of 59.99 is 11.998 so 11.99. 59.99 - 11.99 = 48. 48x4 is 192
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3 years ago
I need help with the question
sweet [91]

Answer:

B

Step-by-step explanation:

Comment

√15 = 3.87

<u>√12 = 3.46 </u>              Subtract these 2

Difference = 0.41

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daphne has 3 days to drive 932.4 miles . approximately how many miles does she need to drive each day.
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3 years ago
(CO 3) Fifty-four percent of US teens have heard of a fax machine. You randomly select 12 US teens. Find the probability that th
11111nata11111 [884]

Answer:

a) P(X=6)=(12C6)(0.54)^6 (1-0.54)^{12-6}=0.217  

b) P(X> 8) = P(X\geq 9)= P(X=9)+P(X=10)+P(X=11)+P(X=12)

P(X=9)=(12C9)(0.54)^9 (1-0.54)^{12-9}=0.0836  

P(X=10)=(12C10)(0.54)^{10} (1-0.54)^{12-10}=0.0294  

P(X=11)=(12C11)(0.54)^{11} (1-0.54)^{12-11}=0.00628  

P(X=12)=(12C12)(0.54)^{12} (1-0.54)^{12-12}=0.000615  

And adding the values we got:

P(X> 8) = P(X\geq 9)= P(X=9)+P(X=10)+P(X=11)+P(X=12)= 0.0836+0.0294+0.00628+0.000615 = 0.120

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  

Let X the random variable of interest "number of teens that have heard of a fax machine", on this case we now that:  

X \sim Binom(n=12, p=0.54)  

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!}  

Part a

For this case we want this probability:

P(X=6)=(12C6)(0.54)^6 (1-0.54)^{12-6}=0.217  

Part b

For this case we want this probability:

P(X> 8) = P(X\geq 9)= P(X=9)+P(X=10)+P(X=11)+P(X=12)

P(X=9)=(12C9)(0.54)^9 (1-0.54)^{12-9}=0.0836  

P(X=10)=(12C10)(0.54)^{10} (1-0.54)^{12-10}=0.0294  

P(X=11)=(12C11)(0.54)^{11} (1-0.54)^{12-11}=0.00628  

P(X=12)=(12C12)(0.54)^{12} (1-0.54)^{12-12}=0.000615  

And adding the values we got:

P(X> 8) = P(X\geq 9)= P(X=9)+P(X=10)+P(X=11)+P(X=12)= 0.0836+0.0294+0.00628+0.000615 = 0.120

5 0
4 years ago
Read 2 more answers
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