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Mazyrski [523]
3 years ago
6

The rectangular floor of a room is 4 feet 6 inches wide and 8 feet 3 inches long. How many square yards of floor covering will b

e necessary to cover the floor of the room?
Reminder: 1 yard is equivalent to 3 feet and 1 foot is equivalent to 12 inches.
Mathematics
1 answer:
iren2701 [21]3 years ago
7 0

Answer:

4.125 yard²

Step-by-step explanation:

area of floor: 4ft 6inch x 8ft 3 inch = 54 inches x 99 inches = 5346 inch²

i yard² = 3 feet x 3 feet = 36 x 36 inches² = 1296 inch²

5346  / 1296 = 4.125 yard²

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What two ratios can be used in the proportion?

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What is the value of a missing measure?

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Step-by-step explanation:

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1) Evaluate the following expressions.show your work <br> a) 7(m - 8) for m = -4
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Step-by-step explanation:

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Step-by-step explanation:

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The data in NutritionStudy include information on nutrition and health habits of a sample of people. One of the variables is Smo
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Answer:

<em>H₀</em>: <em>p</em> = 0.20.

<em>Hₐ</em>: <em>p</em> ≠ 0.20.

Step-by-step explanation:

The question is:

The data in Nutrition Study include information on nutrition and health habits of a sample of 315 people. One of the variables is Smoke, indicating whether a person smokes or not (yes or no). Use technology to test whether the data provide evidence that the proportion of smokers is different from 20% given that 43 identify themselves as smokers. Clearly state the null and alternative hypotheses

In this case we need to test whether the proportion of smokers is different from 20%.

A one-proportion <em>z</em>-test can be used to determine the conclusion for this test.

The hypothesis defined as:

<em>H₀</em>: The proportion of smokers is 20%, i.e. <em>p</em> = 0.20.

<em>Hₐ</em>: The proportion of smokers is different from 20%, i.e. <em>p</em> ≠ 0.20.

The information provided is:

<em>n</em> = 315

<em>X</em> = number of people who identified themselves as smokers = 43

Compute the sample proportion of smokers as follows:

\hat p=\frac{X}{n}=\frac{43}{315}=0.137

Compute the test statistic as follows:

z=\frac{\hat p-p}{\sqrt{\frac{p(1-p)}{n}}}=\frac{0.137-0.20}{\sqrt{\frac{0.20(1-0.20)}{315}}}=-2.80

The test statistic is -2.80.

Compute the <em>p</em>-value as follows:

p-value=2\times P(Z

*Use a <em>z</em>-table.

The <em>p</em>-value is 0.00512.

The <em>p</em>-value is quite small. So, the null hypothesis will be rejected at any significance level.

Thus, it can be concluded that the  proportion of smokers is different from 20%.

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