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Anarel [89]
2 years ago
12

Two dice are tossed and the magnitude of the difference in the number of dots facing up in the two dice is noted. (a) What is th

e sample space of the event of tossing of the two dice
Mathematics
1 answer:
Airida [17]2 years ago
8 0

Answer:

Sample space S = {0,1,2,3,4,5}

Step-by-step explanation:

We all know that when a dice is tossed, the minimum value that can be obtained is 1 and the maximum value that can be obtained is 6.

Now, when two dice are tossed, the possible cases are:

= \left\{\begin{array}{cccccc}(1,1)&(1,2)&(1,3) &(1,4)&(1,5)&(1,6)\\(2,1)&(2,2)&(2,3) &(2,4)&(2,5)&(2,6)\\(3,1)&(3,2)&(3,3) &(3,4)&(3,5)&(3,6)\\(4,1)&(4,2)&(4,3) &(4,4)&(4,5)&(4,6)\\(5,1)&(5,2)&(5,3) &(5,4)&(5,5)&(5,6)\\(6,1)&(6,2)&(6,3) &(6,4)&(6,5)&(6,6)\end{array}\right\}

However, the magnitude of the difference in no. of dots showing up in the two dice is:

= = \left\{\begin{array}{cccccc}(1,1)=0&(1,2)=1&(1,3)=2 &(1,4)=3&(1,5)=4&(1,6)=5\\(2,1)=1&(2,2)=0&(2,3)=1 &(2,4)=2&(2,5)=3&(2,6)=4\\(3,1)=2&(3,2)=1&(3,3)=0 &(3,4)=1&(3,5)=2&(3,6)=3\\(4,1)=3&(4,2)=2&(4,3)=1 &(4,4)=0&(4,5)=1&(4,6)=2\\(5,1)=4&(5,2)=3&(5,3)=2 &(5,4)=1&(5,5)=0&(5,6)=1\\(6,1)=5&(6,2)=4&(6,3)=3 &(6,4)=2&(6,5)=4&(6,6)=0\end{array}\right\}

Thus, the sample space Sample space-related when two dice are tossed & the magnitude is:

S = {0,1,2,3,4,5,}

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Step-by-step explanation:

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This is about 1 + 10.38%.

The effective rate of interest is about 10.38% per annum.

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b) Similarly to find f(a) we need to replace x with a. So,

f(a)=3a²-5a-2

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=3a²+6ah+3h²-5a-5h-2-3a²+5a+2.

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Complete the table to find 430 percent of 90. A 2-column table with 6 rows. Column 1 has entries 100 percent, 100 percent, 100 p
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Step-by-step explanation:

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A home security system is designed to have a 99% reliability rate. Suppose that nine homes equipped with this system experience
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100% probability that least one of the alarms is triggered.

Step-by-step explanation:

For each alarm, there are only two possible outcomes. Either they are triggered, or they are not. The probability of an alarm being triggered is independent from other alarms. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

A home security system is designed to have a 99% reliability rate.

This means that p = 0.99

Suppose that nine homes equipped with this system experience an attempted burglary.

This means that n = 9

Find the probability that least one of the alarms is triggered.

This is P(X \geq 1)

We know that either no alarms are triggered, or at least one is. The sum of the probabilities of these events is decimal 1. So

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100% probability that least one of the alarms is triggered.

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2 years ago
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