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arsen [322]
3 years ago
7

A single die is rolled twice. The 36​ equally-likely outcomes are shown to the right. Find the probability of getting A second n

umber that is less than the first number
Mathematics
1 answer:
Elenna [48]3 years ago
4 0

Answer:

<em>The probability of getting A second number that is less than the first number is</em>

<em></em>P(E) = \frac{15}{36} = 0.4166<em></em>

Step-by-step explanation:

<u>Step(i)</u>:-

Given a single die is rolled twice

In throwing a die , there are six exhaustive elementary  events

1 or 2 or 3 or 4 or 5 or 6.

The total number of exhaustive events = 6

Given data a single die is rolled two times = 6² = 36

<em>The total number of exhaustive cases n(S) = 36</em>

<u>Step(ii)</u>:-

<em>Let 'E' be the event of getting A second number that is less than the first number.</em>

<em>The required pairs are </em>

{(6,1),(6,2),(6,3),(6,4),(6,5),(5,4),(5,3),(5,2),(5,1),(4,3)(4,2),(4,1),(3,2),(3,1),(2,1)}

<em>The total number of favorable cases n(E) = 15</em>

<em>The required probability </em>

<em>   </em>P(E) = \frac{n(E)}{n(S)} = \frac{15}{36}<em></em>

<em><u>Conclusion:</u></em><em>-</em>

<em>The probability of getting A second number that is less than the first number is</em>

<em></em>P(E) = \frac{15}{36} = 0.4166<em></em>

<em></em>

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Suppose that a brand of lightbulb lasts on average 1730 hours with a standard deviation of 257 hours. Assume the life of the lig
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Answer:

P [  1689  ≤   X  ≤  2267 ]  = 54,88 %

Step-by-step explanation:

Normal Distribution

Mean        μ₀  =  1730

Standard Deviation      σ  = 257

We need to calculate  z scores for the values   1689     and      2267

We apply formula for z scores

z =  ( X -  μ₀ ) /σ

X = 1689     then

z = (1689 - 1730)/ 257      ⇒ z = - 41 / 257

z  = -  0.1595

And from z table we get  for  z =  - 0,1595

We have to interpolate

        - 0,15          0,4364

        - 0,16          0,4325

Δ  =   0.01           0.0039

0,1595  -  0,15  =  0.0095

By rule of three

0,01                  0,0039

0,0095                 x ??      x  =  0.0037

And    0,4364  -  0.0037  = 0,4327

Then    P [ X ≤ 1689 ]  =  0.4327     or    P [ X ≤ 1689 ]  = 43,27 %

And for the upper limit  2267  z  score will be

z  =  ( X - 1730 ) / 257       ⇒  z =  537 / 257

z  =  2.0894

Now from z table   we find  for score   2.0894

We interpolate and assume  0.9815

P [ X ≤ 2267 ]  =  0,9815

Ths vale already contains th value of   P [ X ≤ 1689 ]  =  0.4327

Then we subtract  to get    0,9815  -  0,4327   = 0,5488

Finally

P [ 1689  ≤   X  ≤  2267 ]  =  0,5488  or  P [  1689  ≤   X  ≤  2267 ]  = 54,88 %

8 0
3 years ago
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