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ASHA 777 [7]
3 years ago
8

(0.15x)0.10=91.80 solve for x

Mathematics
1 answer:
max2010maxim [7]3 years ago
8 0
I believe the answer is 6120.
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Sean's grade breakdown goes something like this
True [87]

Answer:

90.3

Step-by-step explanation:

.6×.85=.51

.2×1.00=.2

.1×.97=.097

.1×.96=.096

weight in %, times, grade in %

then add them up

.51 + .2 + .097 + .096 = .903

.903=90.3%

5 0
3 years ago
According to an​ airline, flights on a certain route are on time ​% of the time. Suppose flights are randomly selected and the n
neonofarm [45]

Answer:

(a) Explained below.

(b) 0.0294

(c) 0.0173

(d) 0.09827

(e) 0.0452

Step-by-step explanation:

The complete question is:

According to an​ airline, flights on a certain route are on time 80​% of the time. Suppose 25 flights are randomly selected and the number of​ on-time flights is recorded.

​(a) Explain why this is a binomial experiment.

​(b) Find and interpret the probability that exactly 16 flights are on time. ​

(c) Find and interpret the probability that fewer than 16 flights are on time.

​(d) Find and interpret the probability that at least 16 flights are on time.

​(e) Find and interpret the probability that between 14 and ​16 flights, inclusive, are on time.

Solution:

(a)

Let the random variable <em>X</em> be defined as the number of​ on-time flights.

A Binomial experiment has the following properties:

  • There are a fixed number of trials (n).
  • Each trial are independent of the others.
  • Each trial has only two outcomes: Success and Failure
  • Each trial has the same probability of success (p).

If a random variable <em>X</em> is used in an experiment and the experiment has all the above mentioned properties, then the random variable X is known as a binomial random variable.

All of these properties can be confirmed for the random variable <em>X</em>.

Thus, this is a binomial experiment.

(b)

Compute the probability that exactly 16 flights are on time as follows:

P(X=16)={25\choose 16}(0.80)^{16}(0.20)^{25-16}

        =2042975\times 0.0281475\times 0.000000512\\=0.029442375072\\\approx 0.0294

Thus, the probability that exactly 16 flights are on time is 0.0294.

(c)

Compute the probability that fewer than 16 flights are on time as follows:

P(X

                 =0.0000+0.0000+....+0.011777\\=0.0173

Thus, the probability that fewer than 16 flights are on time is 0.0173.

(d)

Compute the probability that at least 16 flights are on time as follows:

P(X\geq 16)=1-P(X

                 =1-0.0173\\=0.9827

(e)

Compute the probability that between 14 and 16 ​flights, inclusive, are on time as follows:

P(14\leq X\leq 16)=\sum\limits^{16}_{x=14}{{25\choose x}(0.80)^{x}(0.20)^{25-x}}

                          =0.004+0.0118+0.0294\\=0.0452

Thus, the probability that between 14 and 16 ​flights, inclusive, are on time is 0.0452.

8 0
3 years ago
Find the area. Answer ASAP pls pls
AfilCa [17]

Answer:

57.4

Step-by-step explanation:

7 0
3 years ago
Mr. Gage wants to buy a new car A but is considering used Car B. Car A costs $2,500 less than twice as much as car B. If car A c
Sergeeva-Olga [200]
1250 is the answer simple math.
4 0
3 years ago
Read 2 more answers
The Green Corporation has 10,000 square feet of tile in their warehouse. Each day of manufacturing adds 1,250 square feet of til
Brut [27]

Answer:

8 days

Step-by-step explanation:

20,000-10,000=10,000

10,000/1,250= 8

so it would take 8 days

5 0
3 years ago
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