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3 years ago

Blank divided by 7 is greater than 800

Mathematics

2 answers:

mrs_skeptik [129]3 years ago

6 0

15,000 divided by 7 is greater than 800 but this question could have a number of possible answers

Stella [2.4K]3 years ago

5 0

Answer:

The possible numbers for the blank are 5601, 8452, 93647 etc.

Step-by-step explanation:

Consider the provided information.

Blank divided by 7 is greater than 800

Let say the number should be in blank is x.

Now we need to find the value of x so that it divided by 7 gives a value greater than 800.

This can be written as:

$\frac{x}{7}>800$

Solve the above inequality for x.

$x>800\times 7$

$x>5600$

The value of x should be greater than 5600.

We can select any number which is greater than 5600.

The possible choice for the blank are 5601, 8452, 93647 etc.

Note there are infinite number greater than 5600 so you can choose any of them.

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Answer:

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Step-by-step explanation:

Hope that helps you

3 0

3 years ago

How to solve for W because I honestly don’t understand anything

erastova [34]

we do 2x-1/y=w+2/2z

2x-1/y we multiple each side y

2x-1/y×y=2x-1

then w+2/2z

we said×2z×2z

then we got

w+2

later

2x-1=w+2=

then 1 become another side

which is 1+2=3

then

w=3-2x

I hope it's correct

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4 years ago

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3 years ago

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Leni [432]

Answer:

No, the Roger’s claim is not correct.

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.

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3 years ago

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Answer:

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