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DiKsa [7]
3 years ago
14

Ribbon ones are made from strips of ribbon tied to sticks Connie has 84 feet of red ribbon 48 feet of blue ribbon and 72 feet of

white ribbon she wants to cut the ribbon into equal links that are as long as possible so that no ribbon is wasted
Mathematics
1 answer:
WARRIOR [948]3 years ago
4 0
Red: 7 12-foot pieces
blue: 4 12-foot pieces
white: 6 12-foot pieces
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Find the distance between the points (-3, 4) and (1, 7).
makvit [3.9K]

Use distance formula d=sqrt root (y2-y1)^2+(x2-x1)^2. So  (-3, 4) and (1, 7). D= sqrt root ( 7-4)^2+(-3+1)^2. So now solve d= sqrt (3)^2+(-2)^2. Now d= sqrt 9+4. D= sqrt 13 or 3.60555

5 0
3 years ago
Can you help? i’ll give brainliest
m_a_m_a [10]

Answer: the value of k is 3

Step-by-step explanation:

You have to find out what times 14 equals 42.

You divide 42 by 14 and then you get 3.

Hope this helps :)

3 0
3 years ago
a bow is made from (2)2/3 yards of ribbon. which expression gives the number of bows that can be made from (22)5/8 yards
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3 years ago
A cliff diver dives off a cliff 40 feet above water. Write an equation giving the divers height above the water after t seconds.
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8 0
4 years ago
The mayor of a town has proposed a plan for the construction of a new community. A political study took a sample of 1300 voters
Kryger [21]

Answer:

The value of the test statistic is t = 2.19.

Step-by-step explanation:

Central Limit Theorem

For a proportion p in a sample of size n, the sampling distribution of the sample proportion will be approximately normal with mean \mu = p and standard deviation s = \sqrt{\frac{p(1-p)}{n}}

Our test statistic is:

t = \frac{X - \mu}{\frac{\sigma}{\sqrt{n}}}

In which X is the sample mean, \mu is the expected mean, \sigma is the standard deviation and n is the size of the sample.

Sample of 1300 voters:

This means that n = 1300

Found that 45% of the residents favored construction.

This means that X = 0.45

A political strategist wants to test the claim that the percentage of residents who favor construction is more than 42%.

This means that \mu = 0.42, and by the Central Limit Theorem:

\frac{\sigma}{\sqrt{n}} = s = \sqrt{\frac{0.42*0.58}{1300}} = 0.0137

So, the test statistic is:

t = \frac{X - \mu}{s}

t = \frac{0.45 - 0.42}{0.0137}

t = 2.19

The value of the test statistic is t = 2.19.

3 0
3 years ago
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