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barxatty [35]
3 years ago
14

There are 31 chocolates in a box, all identically shaped. There 5 are filled with nuts, 14 with caramel, and 12 are solid chocol

ate. You randomly select one piece, eat it, and then select a second piece. Find the probability of selecting a solid chocolate candy followed by a nut candy.​
Mathematics
1 answer:
jeyben [28]3 years ago
4 0

Answer:

Step-by-step explanation:

You will be more likely to eat one with caramel

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HELP PLEASE BE QUICK
natka813 [3]

Answer:

Part 7) AB=27\ units

Part 8) x=1.7\ units

Step-by-step explanation:

Part 7) Find the length of AB

we know that

The<u><em> two tangent theorem</em></u> states that if we draw two lines from the same point which lies outside a circle, such that both lines are tangent to the circle, then their lengths are the same

so

In this problem, applying the two tangent theorem

AB=BC

substitute the given values

15x-3=10x+7

solve for x

15x-10x=7+3\\5x=10\\x=2

Find the length of AB

AB=15x-3

substitute the value of x

AB=15(2)-3=27\ units

Part 8) we know that

If CD is tangent to circle E at point C

then

Line segment CD is perpendicular to line segment EC (radius) and CDE is a right triangle

so

Applying the Pythagorean Theorem in the right triangle CDE

DE^2=CD^2+EC^2

substitute the given values

2^2=x^2+1^2

solve for x

4=x^2+1\\x^2=3\\x=1.7\ units

6 0
3 years ago
HELP‼️12 Points
TiliK225 [7]
150 times 96 divided by 2 and I believe that’s your answer. 7200 meters
7 0
3 years ago
Read 2 more answers
You want to obtain a sample to estimate a population proportion. At this point in time, you have no reasonable preliminary estim
prohojiy [21]

Using the z-distribution, it is found that a sample size of 3,385 is required.

<h3>What is a confidence interval of proportions?</h3>

A confidence interval of proportions is given by:

\pi \pm z\sqrt{\frac{\pi(1-\pi)}{n}}

The margin of error is:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

In which:

  • \pi is the sample proportion.
  • z is the critical value.
  • n is the sample size.

In this problem, we have a 98% confidence level, hence\alpha = 0.98, z is the value of Z that has a p-value of \frac{1+0.98}{2} = 0.99, so the critical value is z = 2.327.

We have no prior estimate, hence \pi = 0.5 is used, which is when the largest sample size is needed. To find the sample size, we solve the margin of error expression for n when M = 0.02, hence:

M = z\sqrt{\frac{\pi(1-\pi)}{n}}

0.02 = 2.327\sqrt{\frac{0.5(0.5)}{n}}

0.02\sqrt{n} = 2.327 \times 0.5

\sqrt{n} = \left(\frac{2.327 \times 0.5}{0.02}\right)

(\sqrt{n})^2 = \left(\frac{2.327 \times 0.5}{0.02}\right)^2

n = 3,385.

A sample size of 3,385 is required.

More can be learned about the z-distribution at brainly.com/question/25890103

#SPJ1

5 0
2 years ago
A polynomial function has -5+√3t as a root. Which of the following must also be a root of the function? a) -5-√3t b) -5+√3t c) 5
juin [17]

Answer:

a

Step-by-step explanation:

Radical roots occur as conjugate pairs

Given - 5 + \sqrt{3} t is a root , then

- 5 - \sqrt{3} t is also a root → a

4 0
4 years ago
The distribution of prices for home sales in a certain New Jersey county is skewed to the right with a mean of $290,000 and a st
I am Lyosha [343]

Answer:

The probability that the mean of the sample is greater than $325,000

P( X > 3,25,000) = P( Z >2.413) = 0.008

Step-by-step explanation:

<u><em>Step(i):-</em></u>

Given the mean of the Population( )= $290,000

Standard deviation of the Population = $145,000

Given the size of the sample 'n' = 100

Given 'X⁻'  be a random variable in Normal distribution

Let   X⁻ = 325,000

Z = \frac{x^{-}-mean }{\frac{S.D}{\sqrt{n} } }  = \frac{325000-290000}{\frac{145000}{\sqrt{100} } }  = 2.413

<u><em>Step(ii):</em></u>-

The probability that the mean of the sample is greater than $325,000

P( X > 3,25,000) = P( Z >2.413)

                           = 0.5 - A(2.413)

                           = 0.5 - 0.4920

                           = 0.008

<u><em>Final answer:-</em></u>

The probability that the mean of the sample is greater than $325,000

P( X > 3,25,000) = P( Z >2.413) = 0.008

6 0
3 years ago
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