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Solnce55 [7]
2 years ago
9

We define a bow-tie quadrilateral as a quadrilateral where two sides cross each other. An example of a bow-tie quadrilateral is

shown below. Seven distinct points are chosen on a circle. We draw all $\binom{7}{2} = 21$ chords that connect two of these points. Four of these $21$ chords are selected at random. What is the probability that these four chosen chords form a bow-tie quadrilateral?

Mathematics
2 answers:
gladu [14]2 years ago
7 0

Answer:

70/5985

Step-by-step explanation:

We know that a quadrilateral needs to have four vertices (or points on the circle). There are always two ways to link the cross — horizontally or vertically. Using my limited knowledge of combinations, we know that choosing four points out of seven equals 35. Multiplying the two ways to connect those lines (again, horizontally and vertically) makes 35*2 = 70 "bow-tie quadrilaterals" that can be formed on the circle using four points. There are 5985 ways four chords can be chosen out of twenty-five chords because C(25,4) equals 5985, so the probability is 70/5985, and then we just need to simplify that fraction.

kipiarov [429]2 years ago
4 0

Answer:

Step-by-step explanation:

Suppose we choose four points on the circle. Then there are exactly two ways that they can form the vertices of a bow-tie.

[there is an image below]

Thus, there are exactly 2 times 7c4 = 70 bow-tie quadrilaterals that can be formed among the seven points.

There are 21 chords to choose from, so there are 21c4 = 5985 ways to choose four chords. Therefore, the probability that the four chords form a bow-tie quadrilateral is

70/5985 = 2/171.

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Answer:

Step-by-step explanation:

Given the equation 1/4 (12 x + 8) + 4 = 3, to fnd the result of the equation, the following steps must be followed.

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1/4 (12 x + 8) + 4 = 3

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Answer:

We failed to reject H₀

Z > -1.645

-1.84 > -1.645

We failed to reject H₀

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We do not have significant evidence at a 1% significance level to claim that less than 40% of U.S. cell phone owners use their phones for most of their online browsing.

Step-by-step explanation:

Set up hypotheses:

Null hypotheses = H₀: p = 0.40

Alternate hypotheses = H₁: p < 0.40

Determine the level of significance and Z-score:

Given level of significance = 1% = 0.01

Since it is a lower tailed test,

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Determine type of test:

Since the alternate hypothesis states that less than 40% of U.S. cell phone owners use their phone for most of their online browsing, therefore we will use a lower tailed test.

Select the test statistic:  

Since the sample size is quite large (n > 30) therefore, we will use Z-distribution.

Set up decision rule:

Since it is a lower tailed test, using a Z statistic at a significance level of 1%

We Reject H₀ if Z < -1.645

We Reject H₀ if p ≤ α

Compute the test statistic:

$ Z =  \frac{\hat{p} - p}{ \sqrt{\frac{p(1-p)}{n} }}  $

$ Z =  \frac{0.31 - 0.40}{ \sqrt{\frac{0.40(1-0.40)}{100} }}  $

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From the z-table, the p-value corresponding to the test statistic -1.84 is

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Conclusion:

We failed to reject H₀

Z > -1.645

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We failed to reject H₀

p >  α

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We do not have significant evidence at a 1% significance level to claim that less than 40% of U.S. cell phone owners use their phones for most of their online browsing.

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