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lys-0071 [83]
4 years ago
9

In a carnival game, there are six identical boxes, one of which contains a prize. A contestant wins the prize by selecting the b

ox containing it. Before each game, the old prize is removed and another prize is placed at random in one of the six boxes. Is it appropriate to use the binomial probability distribution to find the probability that a contestant who plays the game five times wins exactly twice? Check each of the requirements of a binomial experiment and give the values of n, r,and p.
Mathematics
1 answer:
LuckyWell [14K]4 years ago
7 0

Answer:

Total probability is 0.1608

Explanation:

The Binomial Probability expression is:

∑(r=0 to n) C_{n,r} (P)^r ((-P)^{n-r})

where

n = number of attempts

r = successes

P = Probability of each success and

-P = Probability of each Failure

We will sum all the the attempts to achieve the sum of 1 but

For this problem, we are looking for only one condition  which is  - playing the game five time and winning twice so P = \frac{1}{6}  and -P = \frac{5}{6}

So, our final solution is

C_{5,2} (\frac{1}{6})^2 ((\frac{5}{6})^{5-2}) = 0.1608 = 16.08%

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Moving at its top speed a sloth would take 20 hours to go 3 miles on land. What’s that in miles per hour
olchik [2.2K]

Answer:

.15 mph

Step-by-step explanation:

3 miles/ 20 hours or 3/20

6 0
3 years ago
Read 2 more answers
Pls help me ee brainly ​
nataly862011 [7]

Answer:

56/5   /   4/5

56/5   x   5/4

280/20

14

the first option, 14, because the number of catalogs is 56/5 % 4/5,  is correct.

Step-by-step explanation:

3 0
3 years ago
Bottles filled by a certain machine are supposed to contain 12 oz of liquid. In fact the fill volume is random with mean 12.01 o
Irina-Kira [14]

Answer:

a

 P(X <  12)  = 0.3660

b

  P(X <  12) = 0.1521

Step-by-step explanation:

Considering question a

From the question we are told that

   The mean is  \mu = 12.01 \ oz

    The standard deviation is  \sigma = 0.35 \  oz

 The standard error of mean is mathematically represented as

      \sigma_{x} =  \frac{\sigma}{\sqrt{n} }

=>   \sigma_{x} =  \frac{0.35}{\sqrt{144} }              

=>   \sigma_{x} =  0.02917

Generally the  probability that the mean volume of a random sample of 144 bottles is less than 12 oz is mathematically represented as

           P(X <  12) = P(\frac{X - \mu }{\sigma_{x}} < \frac{12 - 12.01 }{0.02917 }  )

\frac{X -\mu}{\sigma_{x} }  =  Z (The  \ standardized \  value\  of  \ X )

      P(X <  12) = P(Z < -0.3425  )

From the z table  the area under the normal curve to the left corresponding to   -0.3425  is

      P(X <  12) = P(Z < -0.3425  ) = 0.3660

=>  P(X <  12)  = 0.3660

Considering question a

From the question we are told that

   The mean is  \mu = 12.03 \ oz

Generally the  probability that the mean volume of a random sample of 144 bottles is less than 12 oz is mathematically represented as

           P(X <  12) = P(\frac{X - \mu }{\sigma_{x}} < \frac{12 - 12.03 }{0.02917 }  )

          P(X <  12) = P(Z < -1.0274  )

From the z table  the area under the normal curve to the left corresponding to   -1.0274   is

      P(X <  12) = P(Z < -1.0274  ) =0.1521

=>   P(X <  12) = 0.1521

3 0
3 years ago
Bonita deposited $1300 into a bank account that earned 5.75% simple interest each year. She earned $299 in interest before closi
ICE Princess25 [194]

4 years

using I = PRT

then T = \frac{I}{PR}

calculate PR = 1300 × \frac{5.75}{100} = 74.75, hence

T = \frac{299}{74.75} = 4 years



8 0
3 years ago
You move up 3 units.You end at (-4.1).where did you start ?
Marizza181 [45]

Answer:

Please look at the graph for explanation!

There are two pictures and numbred steps.

~Lunar Rose. Moon.

Step-by-step explanation:

7 0
4 years ago
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