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3 years ago

I need help w solving 10-12 please!

Mathematics

1 answer:

guajiro [1.7K]3 years ago

6 0

10 - 12= -2

Or...

10 minus/subtract 2 eaquals negative 2.

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In one month, Mikhail’s Furnishings can make 160 carpets or 160 quilts, while Dominique’s Parlor can make 120 carpets or 200 qui

marysya [2.9K]

Answer:

Step-by-step explanation:

Mikhail’s Furnishings: 160 carpets or 160 quilts

Dominique’s Parlor: 120 carpets or 200 quilts

Current production per month

Mikhail’s: 80 carpets and 80 quilts

Dominique’s: 60 carpets and 100 quilts

Post-trade

Mikhail’s: produces 160 carpets

Dominique’s: produces 200 quilts

They trade 90 quilts for 70 carpets so at the end of trade they will have items as follows

Mikhail’s carpets will reduce from 160-70=90 carpets but have additional 70 quilts

Dominique’s quilts will reduce from 200-90=110 but have additional carpets of 70

Gains from trade

Comparing outcome of post-trade with current production

Mikhail’s Furnishings: 90 carpets-80 carpets=10 carpets

90 quilts-80 quilts=10 quilts

Dominique’s Parlor: 70 carpets -60 carpets=10 carpets

110 quilts-100 quilts=10 quilts

8 0

3 years ago

For the data set 62, 73, 74, 75, 76, the mean is 72. what is the mean absolute deviation.

Charra [1.4K]

Answer is in a pho $^{}$ to. I can only uplo $^{}$ ad it to a file host $^{}$ ing service. link below!

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3 years ago

If sample variance is computed by dividing SS by df = n – 1, then the average value of the sample variances from all the possibl

boyakko [2]

Answer:

$s^2 = \frac{SS}{n-1}$

And if we take the average value of the sample variances from all the possible random samples we will get the population variance:

$\sigma =\frac{SS}{n}$

So then the best answer for this case would be:

The average value of the sample variances from all the possible random samples will be exactly the population variance

Step-by-step explanation:

For this case we can define the sum of squares with this formula:

$SS = \sum_{i=1}^n (X_i -\bar X)^2$

Where:

$\bar X =\frac{\sum_{i=1}^n X_i}{n}$

And we can find the sample variance with this formula:

$s^2 = \frac{SS}{n-1}$

And if we take the average value of the sample variances from all the possible random samples we will get the population variance:

$\sigma =\frac{SS}{n}$

So then the best answer for this case would be:

The average value of the sample variances from all the possible random samples will be exactly the population variance

6 0

4 years ago

Edgar earns $13 for each hour of yard work. How many hours in all will it take Edgar to earn $39? hours

Art [367]

3 hours because 39 divided by 13 equals 3 and to check just do 13x3 and it will get you to 39. in conclusion edgar will have to do 3 hours of hard work to get $39

7 0

3 years ago

Tulky draws 4 ten sticks and less than ten circles to make what number

11111nata11111 [884]

I would try -50 i really dont get what your asking but i did -10 -40=50

3 0

4 years ago