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Ainat [17]
3 years ago
10

Tom got 7 over 8 pound of honey from a hive. He calculated the quotient of 7 over 8 ÷ 2 over 5. Which statement shows the quotie

nt and gives the most likely explanation of what Tom was trying to determine?
He can make 14 over 40 of a bottle of honey with 2 over 5 pound of honey in each bottle.
He can get 14 over 40 pound of honey if he divides the honey into 2 over 5-pound portions.
He can get 2 and 3 over 16 pounds of honey if he divides the honey into 2 over 5-pound portions.
He can make 2 and 3 over 16 bottles of honey with 2 over 5 pound of honey in each bottle.
Mathematics
1 answer:
scoundrel [369]3 years ago
5 0

Answer:

D.

Step-by-step explanation:

if he divides (7/8) / (2/5)

he will get x bottles of honey if each bottle weighs 2/5 pound

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In a list of households, own homes and do not own homes. Five households are randomly selected from these households. Find the p
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Answer:

The probability of success for this case would be:

p =\frac{9}{15}= 0.6 representing the proportion of homes that are own homes

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

X \sim Binom(n=15, p=0.6)  

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:  

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And we want this probability:

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And uing the probability mass function we got:

P(X=3)= 15C3 (0.6)^3 (1-0.6)^{15-3}= 0.00165

Step-by-step explanation:

Adduming the following info: In a list of 15 households, 9 own homes and 6 do not own homes. Five households are randomly selected from these 15 households. Find the probability that the number of households in these 5 own homes is exactly 3.

Round your answer to four decimal places

P (exactly 3)=

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

The probability of success for this case would be:

p =\frac{9}{15}= 0.6 representing the proportion of homes that are own homes

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

X \sim Binom(n=15, p=0.6)  

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!}  

And we want this probability:

P(X=3)

And uing the probability mass function we got:

P(X=3)= 15C3 (0.6)^3 (1-0.6)^{15-3}= 0.00165

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