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dolphi86 [110]
3 years ago
14

{362 – [6x3 + (48 ÷ 2) x 2]} + 3(9 +4)

Mathematics
2 answers:
Dvinal [7]3 years ago
4 0

Answer:

335

Step-by-step explanation:

Brep

Tanzania [10]3 years ago
3 0
335??? I just did this ☺️.....
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For the following right triangle, find the side length x. Round your answer to the nearest hundredth.
Pani-rosa [81]

Answer:

x = 14.25

Step-by-step explanation:

Start with a^2 + b^2 = c^2

a = 11

b = x

c = 18

plug in and solve

11^2 + x^2 = 18^2

121 + x^2 = 324 - Simplify

x^2 = 203 - subtract 121 from both sides

x = 14.247 rounds to 14.25 - square root on both sides

7 0
3 years ago
PLSSSS HELPPPP I WILLL GIVE BRAINLIEESTTT!!!!!!!!!! PLSSSS HELPPPP I WILLL GIVE BRAINLIEESTTT!!!!!!!!!!
Komok [63]

Answer:

yes

Step-by-step explanation:

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3 years ago
Please choose the correct answer! Thank you, will mark brainliest!
Nimfa-mama [501]
The correct answer is the correct answer... there is no question to be answered so there is no answer
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Andreas wants to estimate how many fish there are in a lake. One day he catches 20 fish,marks them,and returns them to the lake.
tensa zangetsu [6.8K]

Answer:

50

Step-by-step explanation:

The ratio of marked fish to caught fish is 4:10, we need to solve for x in 20:x, since 4 * 5 = 20, 10 * 5 = x so x = 50 fish.

8 0
3 years ago
A new medical test has been designed to detect the presence of the mysterious Brainlesserian disease. Among those who have the d
astra-53 [7]

Answer:

Step-by-step explanation:

The persons who have diseases = 19%

The persons who do not have diseases = 81%

Probability for the test showing positive = Prob of actual disease and shows positive + Prob of no disease but test shows wrong

= 0.7*0.19+0.04*0.81\\=0.133+0.0324\\=0.1654

Prob that the person actually has the disease given that the test administered to an individual is positive= \frac{0.133}{0.1654} \\=0.0804

30) A    B   C   total

    2x  7x   x      10x

P(A) = 0.2, P(B) = 0.7, P(C) = 0.1

Let D be the event that the product is defective

P(D/A) = 0.032, P(D/B) = 0.034 and P(D/C) = 0.056

Required probability =P(C/D)

= \frac{P(D/C) P(C)}{P(D/A) P(a)+P(D/B) P(B)+P(D/C) P(C)}

by using Bayes theorem for conditional probability

= \frac{0.1*0.056}{0.2*0.032+0.7*0.034+0.1*0.056} \\=\frac{0.0056}{0.0064+0.0238+0.0056} \\\\=0.156425

32) 7 digit phone numbers with repitition including 0 will be

= 10^7

Numbers which have atleast one 7 = total number - numbers which do not have a single 7

= 10^7 -9^7

the probability that a 7-digit phone number contains at least one 7

=\frac{10^7-9^7}{10^7}

3 0
3 years ago
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