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Verdich [7]
3 years ago
14

35 is 29% of what number

Mathematics
1 answer:
ladessa [460]3 years ago
7 0

Answer:

10.15 is 29% of 35.

Step-by-step explanation:

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James has 24 shirts 18 pants and 16 shoes (pairs) how many combinations of shirt shoes and pants if he wears his favorite shirt(
kodGreya [7K]

multiply pants  & shoes

16 x 18 = 288


5 0
3 years ago
Supposed eight out of every 20 students are absent from school lesson five days a year predict how many students would be absent
choli [55]
8 X
----- = ------
20 40000

40000/20=2000
2000*8=16000

X=16000
6 0
3 years ago
What is payday on the 1st and 15th referred as (2 times a month)? *
Gnoma [55]

Answer:

b, semi-monthly

6 0
3 years ago
The life of a red bulb used in a traffic signal can be modeled using an exponential distribution with an average life of 24 mont
BartSMP [9]

Answer:

See steps below

Step-by-step explanation:

Let X be the random variable that measures the lifespan of a bulb.

If the random variable X is exponentially distributed and X has an average value of 24 month, then its probability density function is

\bf f(x)=\frac{1}{24}e^{-x/24}\;(x\geq 0)

and its cumulative distribution function (CDF) is

\bf P(X\leq t)=\int_{0}^{t} f(x)dx=1-e^{-t/24}

• What is probability that the red bulb will need to be replaced at the first inspection?

The probability that the bulb fails the first year is

\bf P(X\leq 12)=1-e^{-12/24}=1-e^{-0.5}=0.39347

• If the bulb is in good condition at the end of 18 months, what is the probability that the bulb will be in good condition at the end of 24 months?

Let A and B be the events,

A = “The bulb will last at least 24 months”

B = “The bulb will last at least 18 months”

We want to find P(A | B).

By definition P(A | B) = P(A∩B)P(B)

but B⊂A, so  A∩B = B and  

\bf P(A | B) = P(B)P(B) = (P(B))^2

We have  

\bf P(B)=P(X>18)=1-P(X\leq 18)=1-(1-e^{-18/24})=e^{-3/4}=0.47237

hence,

\bf P(A | B)=(P(B))^2=(0.47237)^2=0.22313

• If the signal has six red bulbs, what is the probability that at least one of them needs replacement at the first inspection? Assume distribution of lifetime of each bulb is independent

If the distribution of lifetime of each bulb is independent, then we have here a binomial distribution of six trials with probability of “success” (one bulb needs replacement at the first inspection) p = 0.39347

Now the probability that exactly k bulbs need replacement is

\bf \binom{6}{k}(0.39347)^k(1-0.39347)^{6-k}

<em>Probability that at least one of them needs replacement at the first inspection = 1- probability that none of them needs replacement at the first inspection. </em>

This means that,

<em>Probability that at least one of them needs replacement at the first inspection =  </em>

\bf 1-\binom{6}{0}(0.39347)^0(1-0.39347)^{6}=1-(0.60653)^6=0.95021

5 0
3 years ago
5.) What is the quotient of 15.26 and 3.5?
elena55 [62]

Answer:

I got 18.26

Step-by-step explanation:

Added them up

3 0
3 years ago
Read 2 more answers
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