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oee [108]
3 years ago
8

Randy has two 28-pound blocks of ice for his snow cone stand. If each snow cone requires 2/3 pound of ice, how many snow cones c

an Randy make?
Mathematics
1 answer:
irga5000 [103]3 years ago
3 0

Answer:

The answer would be 28 divided by 2/3.

Step-by-step explanation:

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Choose the inequality that represents the following graph
Nezavi [6.7K]

Answer: A

Step-by-step explanation: The reason is when the circle is empty, it means it isn't equal to and is either only less than or greater than, when the circle is full, it means it can be less than or equal to 5.

3 0
3 years ago
1 2/3 times 3 2/3 greater than 3 2/3
jek_recluse [69]
Yes, yes it is :)
your welcome 
3 0
3 years ago
Customers arrive at a restaurant according to a Poisson distribution at a rate of 20 customers per hour. The restaurant opens fo
jenyasd209 [6]

Answer:

0.087

Step-by-step explanation:

Given that there were 17 customers at 11:07, probability of having 20 customers in the restaurant at 11:12 am could be computed as:

= Probability of having 3 customers in that 5 minute period. For every minute period, the number of customers coming can be modeled as:

X₅ ~ Poisson (20 (5/60))

X₅ ~ Poisson (1.6667)

Formula for computing probabilities for Poisson is as follows:

P (X=ₓ) = ((<em>e</em>^(-λ)) λˣ)/ₓ!

P(X₅= 3) = ((<em>e</em>^(-λ)) λˣ)/ₓ! =  (e^-1.6667)((1.6667²)/3!)

P(X₅= 3) = (2.718^(-1.6667))((2.78)/6)

P(X₅= 3) = (2.718^(-1.6667))0.46

P(X₅= 3) = 0.1889×0.46

P(X₅= 3) = 0.086894

P(X₅= 3) = 0.087

Therefore, the probability of having 20 customers in the restaurant at 11:12 am given that there were 17 customers at 11:07 am is 0.087.

8 0
3 years ago
Your little brother just learned how to flip and catch a coin. He believes that by catching the coin in mid-air, he can influenc
coldgirl [10]
<h2>Answer explanation:</h2>

If a coin is fair then it has two faces , one is heads and the another is tails.

The probability getting any favorable outcomes is given by the formula :-

\dfrac{\text{Number of favorable outcomes}}{\text{Total outcomes}}

So the factor effecting probability is just the number of  favorable outcomes and total outcomes.

If a coin is tossed then the probability of getting heads will be :-

P(H)=\dfrac{1}{2}=0.5=50\%

To get heads always this should be 1 , which can be happen if number of  favorable outcomes is equal to total outcomes.

i.e. Number of heads = Number of total outcomes, this means coin should be biased.

Catching the coin in mid-air can never be a factor for this.

Therefore, the little brother's theory is false.

8 0
3 years ago
I cant see the answers anyone else has the problem
Jet001 [13]

Answer: im having the same problem

Step-by-step explanation:

7 0
3 years ago
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