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tatuchka [14]
2 years ago
15

If 1 yard = 3 feet and 1 mile = 5,280 feet, how many yards are there in 4 miles?

Mathematics
1 answer:
USPshnik [31]2 years ago
3 0

Answer:

7040 Yards

Step-by-step explanation:

First, you have to divide 5280 by 3, to get 1760 yards

Then you have to multiply 1760 by 4

Finally, you should get the answer of 7040 yards :D

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What is (f - 5)(-2) + 11f
n200080 [17]

Answer:

-2f+10+11f

= 9f+10

Step-by-step explanation:

just expand it

7 0
2 years ago
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The sum of all the ages of Dylan and Renee is 57 years . 9 yrs ago , Dylans age was 2 times Renee's age. How old is Dylan now?​
Ugo [173]

Answer:

Step-by-step explanation:

let present age of

Dylan=x

Renee=y

x+y=57

9 years ago

x-9=2(y-9)=2y-18

x=2y-18+9=2y-9

so  2y-9+y=57

3y=57+9=66

y=66/3=22

x+22=57

x=57-22=35

Dylan's present age=35 years

3 0
2 years ago
it is known that the population proton of utha residnet that are members of the church of jesus christ 0l6 suppose a random samp
Lady_Fox [76]

Answer:

0.0838 = 8.38% probability of obtaining a sample proportion less than 0.5.

Step-by-step explanation:

To solve this question, we need to understand the normal probability distribution and the central limit theorem.

Normal Probability Distribution

Problems of normal distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the z-score of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value 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. Subtracting 1 by the p-value, we get the probability that the value of the measure is greater than X.

Central Limit Theorem

The Central Limit Theorem establishes that, for a normally distributed random variable X, with mean \mu and standard deviation \sigma, the sampling distribution of the sample means with size n can be approximated to a normal distribution with mean \mu and standard deviation s = \frac{\sigma}{\sqrt{n}}.

For a skewed variable, the Central Limit Theorem can also be applied, as long as n is at least 30.

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}}

Proportion of 0.6

This means that p = 0.6

Sample of 46

This means that n = 46

Mean and standard deviation:

\mu = p = 0.6

s = \sqrt{\frac{p(1-p)}{n}} = \sqrt{\frac{0.6*0.4}{46}} = 0.0722

Probability of obtaining a sample proportion less than 0.5.

p-value of Z when X = 0.5. So

Z = \frac{X - \mu}{\sigma}

By the Central Limit Theorem

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

Z = \frac{0.5 - 0.6}{0.0722}

Z = -1.38

Z = -1.38 has a p-value of 0.0838

0.0838 = 8.38% probability of obtaining a sample proportion less than 0.5.

8 0
3 years ago
Hown do you convert 8 inches into cm
lakkis [162]

Multiply your length value by 2.54. One inch is equal to roughly 2.54 centimeters,

Its 20.32 cm btw.

7 0
2 years ago
Which one of the following is NOT equal to the others?
irina1246 [14]

Answer:

.03

Step-by-step explanation:

.03 would be 3% where all the others are 30% hope this helped!

5 0
3 years ago
Read 2 more answers
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