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andre [41]
2 years ago
11

If I have a 93% in a class, how much would it drop if I got a 66% on an assignment?

Mathematics
2 answers:
Ksju [112]2 years ago
8 0

Answer: 27%

Step-by-step explanation:

Subtract 66% from 93%

= 93% - 66%

=27%

nata0808 [166]2 years ago
8 0

Answer:

varies

Step-by-step explanation:

It depends on the weight of the grade like how test have a bigger weight than homework.

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Suppose that 12 inches of wire cost 48 cents at the same rate how many inches of wire can be bought for 28 cents
goldenfox [79]

Answer:

7 in

Step-by-step explanation:

If 12 inches of wire can be bought for $0.48, we can set up the following ratio:

\frac{12\text{ in}}{\$0.48}

Then, to determine how many inches of wire can be bought for $0.28, set up equivalent fractions, as such:

\frac{12\text{ in}}{\$0.48}=\frac{x}{\$0.28}

Then, cross-multiply and solve for x:

\$0.48x=(\$0.28)(12)

\$0.48x=\$3.36

x=\frac{\$3.36}{\$0.48}

x=7

3 0
8 months ago
Amelie needs 2| 3/8 cups flour for one recipe and 1| 1/3 cups of flour for another recipe.
ryzh [129]

Answer:

3 and 17/24 cups of flour

Step-by-step explanation:

You need to make the denominator the same so find what number the 8 and 3 can both be turned into to make the same number. They can both be made into a 24. 8x3=24 so you multiply the 3 by 3 making 9. Do the same to the 1/3, multiplying both by 8 making 8/24.

2 9/24 and 1 8/24 which can be made into 3 17/24

5 0
2 years ago
Read 2 more answers
What’s the value of x?
Masteriza [31]

the answer for x is 7.27 recurring

3 0
2 years ago
The distribution of the annual incomes of a group of middle management employees approximated a normal distribution with a mean
kondor19780726 [428]

Answer:

68% of the incomes lie between $36,400 and $38,000.

Step-by-step explanation:

We are given the following information in the question:

Mean, μ =  $37,200

Standard Deviation, σ = $800

We are given that the distribution of SAT score is a bell shaped distribution that is a normal distribution.

Empirical rule:

  • Almost all the data lies within three standard deviation of mean for a normally distributed data.
  • About 68% of data lies within one standard deviation of mean.
  • About 95% of data lies within two standard deviation of mean.
  • About 99.7% of data lies within three standard deviation of mean.

Thus, 68% of data lies within one standard deviation.

\mu \pm \sigma\\=37200 \pm 800\\=(36400,38000)

Thus, 68% of the incomes lie between $36,400 and $38,000.

5 0
3 years ago
OK i need big help!!!! And it's really easy!
Ede4ka [16]
The second option!! the addition one :))
6 0
3 years ago
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