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AnnZ [28]
2 years ago
11

What is 35% written as a fraction ?

Mathematics
2 answers:
Serga [27]2 years ago
6 0

percent means out of 100

35/100

divide the top and bottom by 5

7/20


VLD [36.1K]2 years ago
6 0
<h3>Hey there! </h3><h3>Percentages  goes out of 100 </h3><h3>So, </h3><h3>35% = \frac{35}{100}</h3><h3>\frac{35}{100} = 0.35</h3><h3>\frac{0.35}{100} * \frac{100}{100}</h3><h3>We get: \frac{35}{100} (Simplify this and this should give you your <em><u>answer</u></em>) </h3><h3>Answer: \boxed {\frac{7}{20} }</h3><h3>Good luck on your assignment and enjoy your day! </h3><h3 /><h3>~LoveYourselfFirst:)</h3>
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Mavis drives 634 miles to visit her grandmother in philadelphia. How many miles does mavis drive if she visits her grandmother 4
Dmitriy789 [7]

Mavis drives = 634 miles.

Mavis visits her grandmother 4 times.

That means, she drives 634 miles each time when she visits her mother.

One time round trip Mavis's house to her gramdmother in philadelphia = 634 miles.

If she visited 4 times, we can multiply one round trip distance by 4 or we can just add that distance four times.

Let us try it by multiplying 4 by 634 .

If we multiply 4 by 634, we get 2536.

Therefore, 2536 miles Mavis drives if she visits her grandmother 4 times.

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Step-by-step explanation:

We are given that Roger claims that the two statistics most likely to change greatly when an outlier is added to a small data set are the mean and the median.

This statement by Roger is incorrect because the median is unaffected by the outlier value and only the mean value gets affected by the outlier value.

As the median represents the middlemost value of our dataset, so any value which is an outlier will be either at the start or at the end will not the median value. So, the median will not likely change when an outlier is added to a small data set.

Now, the mean is the average of all the data set values, that is the sum of all the observations divided by the number of observations. The mean will get affected by the outlier value because it take into account each and every value of the data set.

Hence, the mean will likely to change greatly when an outlier is added to a small data set.

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