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2 years ago

If cos f° = four ninths and the measure of segment XW is 16 units, what is the measure of segment XY?

Mathematics

1 answer:

babymother [125]2 years ago

4 0

Answer:

36 units

Step-by-step explanation:

I took the test it's right fam :)

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Help!! It's question 14

Leona [35]

Answer:

200/120 = 5/3

5/3 x 3 = 5 oz

you can also do it this way:

3/120 = x/200

x = 600/120 = 5

5 0

3 years ago

HELP HELP HELP OMGOMG

user100 [1]

Answer:

Direct variation

Step-by-step explanation:

It's not iverse because the line is curved so it's direct variation

6 0

2 years ago

X + 7 > 10 Solution is

Misha Larkins [42]

Answer:

x>3

Hope this helps!

5 0

2 years ago

Read 2 more answers

Solve. x – 6 = –14 a. –20 b. 20 c. 8 d. –8

Nataliya [291]

If you would like to solve the equation x - 6 = - 14, you can calculate this using the following steps:

x - 6 = - 14
x = - 14 + 6
x = - 8

The correct result would be d. - 8.

5 0

3 years ago

Read 2 more answers

Assume the random variable x has a binomial distribution with the given probability of obtaining a success. Find the following.

borishaifa [10]

Answer:

P(x > 10) = 0.6981.

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.

In this question:

$n = 14, p = 0.8$

P(x>10)

$P(x > 10) = P(X = 11) + P(X = 12) + P(X = 13) + P(X = 14)$

In which

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

$P(X = 11) = C_{14,11}.(0.8)^{11}.(0.2)^{3} = 0.2501$

$P(X = 12) = C_{14,12}.(0.8)^{12}.(0.2)^{2} = 0.2501$

$P(X = 13) = C_{14,13}.(0.8)^{13}.(0.2)^{1} = 0.1539$

$P(X = 14) = C_{14,14}.(0.8)^{14}.(0.2)^{0} = 0.0440$

$P(x > 10) = P(X = 11) + P(X = 12) + P(X = 13) + P(X = 14) = 0.2501 + 0.2501 + 0.1539 + 0.0440 = 0.6981$

So P(x > 10) = 0.6981.

8 0

3 years ago