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mestny [16]
3 years ago
8

Round 52.37 to the nearest tenth

Mathematics
1 answer:
son4ous [18]3 years ago
3 0

Answer:

52.4

Step-by-step explanation:

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2x8-3^2+2? I know the answer but I don’t know how I got to it
nordsb [41]

Answer:

9 or 27

Step-by-step explanation:

2x8 -3 ^2 + 2

2x8  -9 + 2

16 - 9 + 2

= 9

or

2 x 8 - 3^2 + 2

2 x 8 + 9  + 2

16 + 9 + 2

= 27

6 0
3 years ago
Read 2 more answers
How can i solve 25x^4+15x^3 factor​
bezimeni [28]

Answer:

Step-by-step explanation:

25x^4+15x^3  =  5x^3(5x +3)

4 0
2 years ago
The marked price of
Tju [1.3M]

Answer:

MP =  Rs. 1500

SP =  Rs. 1230

Step-by-step explanation:

Let the Cost Price (CP) be x

<u>Then Market Price (MP):</u>

  • MP = x+ 20% = 1.2x

<u>Discounted Selling Price (SP):</u>

  • SP = MP - 18% = 0.82*1.2x = 0.984x

<u>Since the difference between CP and SP is Rs.20:</u>

  • x - 0.984x = 20
  • 0.016x = 20
  • x= 20/0.016
  • x = 1250

<u>Then:</u>

  • MP = 1.2*1250= Rs. 1500

and

  • SP = 1500*0.82 = Rs. 1230

3 0
3 years ago
The probability that a single radar station will detect an enemy plane is 0.65.
taurus [48]

Answer:

a) We need 4 stations to be 98% certain that an enemy plane flying over will be detected by at least one station.

b) If seven stations are in use, the expected number of stations that will detect an enemy plane is 4.55.

Step-by-step explanation:

For each station, there are two two possible outcomes. Either they detected the enemy plane, or they do not. This means that we can solve this problem using concepts of the binomial probability distribution.

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 combinatios 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.

In this problem, we have that:

The probability that a single radar station will detect an enemy plane is 0.65. This means that n = 0.65.

(a) How many such stations are required to be 98% certain that an enemy plane flying over will be detected by at least one station?

This is the value of n for which P(X = 0) \leq 0.02.

n = 1.

P(X = 0) = C_{1,0}.(0.65)^{0}.(0.35)^{1} = 0.35

n = 2

P(X = 0) = C_{2,0}.(0.65)^{0}.(0.35)^{2} = 0.1225

n = 3

P(X = 0) = C_{3,0}.(0.65)^{0}.(0.35)^{3} = 0.0429

n = 4

P(X = 0) = C_{4,0}.(0.65)^{0}.(0.35)^{4} = 0.015

We need 4 stations to be 98% certain that an enemy plane flying over will be detected by at least one station.

(b) If seven stations are in use, what is the expected number of stations that will detect an enemy plane?

The expected number of sucesses of a binomial variable is given by:

E(x) = np

So when n = 7

E(x) = 7*(0.65) = 4.55

If seven stations are in use, the expected number of stations that will detect an enemy plane is 4.55.

6 0
2 years ago
What's the solution to 3x – 6 &lt; 3x + 13? A. x &gt; 5 B. There are no solutions. C. There are infinitely many solutions. D. x
erma4kov [3.2K]

Answer:

C. There are infinitely many solutions.  

Step-by-step explanation:

3x – 6 < 3x + 13

Subtract 3x from each side

-6 < -13

This inequality is always true.

There are infinitely many solutions.

8 0
3 years ago
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