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Delicious77 [7]
3 years ago
11

How to convert 302 inches to yards

Mathematics
1 answer:
Alona [7]3 years ago
6 0
To convert inches to yards, you must convert inches to feet first. So we know that there are 12 inches in 1 foot. This means you can divide 302 by 12 to get 25 feet and 2 inches. (If you use a calculator you get 25.16666 repeating, but since you know that 1/6 = 0.166666, you can tell that 2/12 = 1/6.) Then since you know that there are 3 feet in a yard, you can divide 25 feet by 3 and get 8 yards, 1 foot, and 2 inches, but since this isn't fully in yards, now you can use fractions to make it fully in yards. So we know 1 foot is 1/3 of a yard, as 3 feet is 1 yard. Therefore we have 8 1/3 yards and 2 inches. So we know that 2 inches is 1/6 of one foot, which means it is 1/18 of a yard. Now we add 1/3 and 1/18 to get 7/18. So your answer would be 8 7/18 yards. Hope this helps! :D. Let me know if you have any questions regarding my explanation, and feel free to post more questions.
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2.5

Step-by-step explanation:

It's because 1is less than 5

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Mr.Brown has 110 fiction books and 90 non-fiction books on his shelf. what percent of her library is non fiction?
Vanyuwa [196]

Answer:

45%

Step-by-step explanation:

Given

Number of fiction books = 110

Number of non fiction books = 90

Total number of books = 110 + 90 = 200

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That’s

90/200 x 100%

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Determine the domain and range for the function m(x)=-x^2+4x-3
jasenka [17]

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7. Graph 3x + 4y = 8​
Romashka-Z-Leto [24]

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y= -3/4x+2

Step-by-step explanation:

3x+4y=8

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----------------

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3 years ago
The U.S. Center for Disease Control reports that the mean life expectancy was 47.6 years for whites born in 1900 and 33.0 years
inn [45]

Answer:

b. The null and alternative hypothesis are:

H_0: \mu_1-\mu_2=0\\\\H_a:\mu_1-\mu_2\neq 0

c. Student's t distribution, as it is a two-sample test for the difference between means.

d. Test statistic t = 5.42.

P-value = 0

e. They appear to be significantly different, as the sample data gives strong evidence that the difference is greater than 0.

Step-by-step explanation:

This is a hypothesis test for the difference between populations means.

The claim is that the mean life spans in the county is significantly different for whites and nonwhites.

Then, the null and alternative hypothesis are:

H_0: \mu_1-\mu_2=0\\\\H_a:\mu_1-\mu_2\neq 0

The significance level is 0.05.

The sample 1 (white), of size n1=124 has a mean of 45.3 and a standard deviation of 12.7.

The sample 2 (non-white), of size n2=82 has a mean of 34.1 and a standard deviation of 15.6.

The difference between sample means is Md=11.2.

M_d=M_1-M_2=45.3-34.1=11.2

The estimated standard error of the difference between means is computed using the formula:

s_{M_d}=\sqrt{\dfrac{\sigma_1^2}{n_1}+\dfrac{\sigma_2^2}{n_2}}=\sqrt{\dfrac{12.7^2}{124}+\dfrac{15.6^2}{82}}\\\\\\s_{M_d}=\sqrt{1.301+2.968}=\sqrt{4.269}=2.066

Then, we can calculate the t-statistic as:

t=\dfrac{M_d-(\mu_1-\mu_2)}{s_{M_d}}=\dfrac{11.2-0}{2.066}=\dfrac{11.2}{2.066}=5.42

The degrees of freedom for this test are:

df=n_1+n_2-2=124+82-2=204

This test is a two-tailed test, with 204 degrees of freedom and t=5.42, so the P-value for this test is calculated as (using a t-table):

\text{P-value}=2\cdot P(t>5.42)=0.0000002

As the P-value (0.0000002) is smaller than the significance level (0.05), the effect is significant.

The null hypothesis is rejected.

There is enough evidence to support the claim that the mean life spans in the county is significantly different for whites and nonwhites.

4 0
3 years ago
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