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pav-90 [236]
3 years ago
15

What is 34 percent of 57

Mathematics
1 answer:
Keith_Richards [23]3 years ago
6 0
The answer is 19.38
I hope i helped! Feel free to mark brainliest!
You might be interested in
8
densk [106]

x/2 + 10 = 35 - 2x

x/2 + 2x = 35 - 10

5x/2 = 25

5x = 25.2

5x = 50

x = 50/5

x = 10

The number is 10

6 0
3 years ago
alan has 12-half pound chocolate bars. it take 1.5 of chocolate, broken into chunks to make a batch of cookies. how many batches
cluponka [151]

12 \div 1.5 = 8

3 0
3 years ago
Read 2 more answers
−3(2+4k)+7(2k−1) eqivalent expression
Alex17521 [72]

Answer:

\large\boxed{-3(2+4k)+7(2k-1)=2k-13}

Step-by-step explanation:

-3(2+4k)+7(2k-1)\qquad\text{use the distributive property}\ a(b+c)=ab+ac\\\\=(-3)(2)+(-3)(4k)+(7)(2k)+(7)(-1)\\\\=-6-12k+14k-7\qquad\text{combine like terms}\\\\=(-12k+14k)+(-6-7)\\\\=2k-13

6 0
3 years ago
A software developer wants to know how many new computer games people buy each year. Assume a previous study found the standard
Marrrta [24]

Answer:

The minimum sample size required to ensure that the estimate has an error of at most 0.14 at the 95% level of confidence is n=567.

Step-by-step explanation:

We have to calculate the minimum sample size n needed to have a margin of error below 0.14.

The critical value of z for a 95% confidence interval is z=1.96.

To do that, we use the margin of error formula in function of n:

MOE=\dfrac{z\cdot \sigma}{\sqrt{n}}\\\\\\n=\left(\dfrac{z\cdot \sigma}{MOE}\right)^2=\left(\dfrac{1.96\cdot 1.7}{0.14}\right)^2=(23.8)^2=566.42\approx 567

The minimum sample size to have this margin of error is n = 567.

3 0
3 years ago
State the type of hypothesis test to be used in the following situation: Researchers hoped to determine whether time spent watch
Vikki [24]

Answer:

t-test for difference in slopes

no association exists

Step-by-step explanation:

t-test can be used to determine signifiance in difference in slopes of of fit vs time and not fit vs time graph

The data shows that as number of hours spent watchnig television increases, there is no increasing or decreasing trend in number of people fit or not fit. The number of people fit or not fit seems to be distributed around 629 for 1-2 hours of watching television. There trend is not consistent in both cases with increasing number of hours

7 0
3 years ago
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