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vesna_86 [32]
3 years ago
11

If a fair die is rolled four times, which of the following is closest to the probability that at least one

Mathematics
1 answer:
prohojiy [21]3 years ago
4 0

Answer:

Answer is 67%

Step-by-step explanation:

If you want to get the number four from 4 rolls the chances would be

1st roll = 1/6 (16.667%)

2nd roll = 2/6 (33.333%)

3rd roll = 3/6 (50.000%)

4th roll = 4/6 (66.667%)

So the answer is 67%

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What property is shown: -7 x 1 = -7
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Answer:

multiplicative  inverse

Step-by-step explanation:

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marishachu [46]
The second one is answer
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Explain how comparing 645 and 738 different from comparing 645 and 649
pantera1 [17]
For 645 and 738:
 
For these numbers we have that the difference between both is:
 738 - 645 = 93

 For 645 and 649:
 
For these numbers we have that the difference between both is:
 649 - 645 = 4

 Therefore, comparing the first two numbers of the second two numbers is different because the difference between the first two numbers is much larger.

 Answer:
 
The difference between the first two numbers is much greater than the difference between the second two numbers.
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4 years ago
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(8:2). 4+{[3-2).2-5].4 expresoa numerica
GaryK [48]
4+{[3-2).2-5].4


1st  proceder a la multiplicación ==> 4+{(6-4) -5}4

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3rd multiplicación: 4+{-12}

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3 0
3 years ago
in the unted states, the height of men are normally distributed with the mean 69 inches and standard deviation 2.8 inches. If 16
yaroslaw [1]

Answer:

Probability that their mean height is less than 68 inches is 0.0764.

Step-by-step explanation:

We are given that in the united states, the height of men are normally distributed with the mean 69 inches and standard deviation 2.8 inches.

Also, 16 men are randomly selected.

<em>Let </em>\bar X<em> = sample mean height</em>

The z-score probability distribution for sample mean is given by;

              Z = \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } }  ~ N(0,1)

where, \mu = population mean height = 69 inches

            \sigma = population standard deviation = 2.8 inches

            n = sample of men = 16

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the mean height of 16 randomly selected men is less than 68 inches is given by = P(\bar X < 68 inches)

 P(\bar X < 68 inches) = P( \frac{\bar X-\mu}{\frac{\sigma}{\sqrt{n} } } < \frac{68-69}{\frac{2.8}{\sqrt{16} } } ) = P(Z < -1.43) = 1 - P(Z \leq 1.43)

                                                           = 1 - 0.9236 = 0.0764

<em>Now, in the z table the P(Z  x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.43 in the z table which has an area of 0.92364.</em>

Therefore, probability that their mean height is less than 68 inches is 0.0764.

3 0
4 years ago
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