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2 years ago

10

The probability that a student has a Visa card (event V) is .76. The probability that a student has a Master card (event M) is .

16. The probability that a student had both is .04.

1 answer:

Rufina [12.5K]2 years ago

8 0

Answer:

The Probability of both happening is <u>0.304</u>.

Step-by-step explanation:

P(A) × P(B)

= 0.76 × 0.4

= <u>0.304</u>

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Which of the following expressions are equivalent to 6.53 - (-4.11) + 7.926.53?

umka21 [38]

Answer:

Choice B and Choise C.

Step-by-step explanation:

Equivalent expressions are those expressions that have the same value but they look different.

Given the following expression provided in the exercise:

$6.53 - (-4.11) + 7.92$

You need to remember the multiplication of signs in order to find the equivalent expressions:

$(+)(+)=+\\(-)(-)=+\\(-)(+)=-\\(+)(-)=-$

Then:

- Eliminating the parentheses, you get this equivalent expression:

$6.53 +4.11 + 7.92$

- Since the mulplication of two negative signs gives yous a positive sign, you can rewrite the original expression in this form:

$-(-6.53)+4.11-(-7.92)$

This is an equivalent expression to $6.53 - (-4.11) + 7.92$

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3 years ago

How do I solve this?? I can’t remember

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Answer:

Item or service cost times sales tax so $45x0.6= meal and then you add 20% of 27

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Consider a series system composed of 4 separate components where each component has a 30% chance of failing. Assume each compone

Marina86 [1]

Answer:

16.15% probability that exactly 3 of them would function

Step-by-step explanation:

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.

Probability of each system working:

4 components, which means that $n = 4$

Each has a 30% probability of failing, so $p = 1 - 0.3 = 0.7$

For the system to work, all 4 components have to work. This is P(X = 4).

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0.2401 probability of a system working.

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Now 7 systems, so $n = 7$

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We have to find P(X = 3).

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

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