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Oksana_A [137]
3 years ago
8

Wayne is hanging a string of lights 63 feet long around the three sides of his patio, which is adjacent to his house. The length

of his patio, the side along the house, is 7 feet longer than twice its width. Find the length and width of the patio.
Mathematics
1 answer:
Sonja [21]3 years ago
5 0

Answer: 20

Step-by-step explanation:

1600+2400= total amount with expenses. 4000/125= number of jobs needed to make that min profit of 2400. answer is 32

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the opposite angles are always same.

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x=9

Step-by-step explanation:

because I asked my in-collage brother who told me

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How do we find the missing side of a shape when we are given the perimeter?
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subtract the inside number's

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4 years ago
The circle with center O has a circumference of 36 units. What is
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3 years ago
A courier service company wishes to estimate the proportion of people in various states that will use its services. Suppose the
a_sh-v [17]

Answer:

Probability that the sample proportion will be less than 0.03 is 0.10204.

Step-by-step explanation:

We are given that a courier service company wishes to estimate the proportion of people in various states that will use its services. Suppose the true proportion is 0.04.

Also, 469 are sampled.

<em>Let </em>\hat p<em> = sample proportion</em>

The z-score probability distribution for sample proportion is given by;

              Z = \frac{ \hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = sample proportion

           p = true proportion = 0.04

           n = sample size = 469

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the sample proportion will be less than 0.03 is given by = P( \hat p < 0.03)

       P( \hat p < 0.03) = P( \frac{ \hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < \frac{0.03-0.04}{\sqrt{\frac{0.03(1-0.03)}{469} } } ) = P(Z < -1.27) = 1 - P(Z \leq 1.27)

                                                                      = 1 - 0.89796 = 0.10204

Now, in the z table the P(Z \leq x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.27 in the z table which has an area of 0.89796.

Therefore, probability that the sample proportion will be less than 0.03 is 0.10204.

5 0
3 years ago
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