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Ierofanga [76]
3 years ago
5

Which is greater: 10cm or 103mm? How much greater?

Mathematics
1 answer:
bekas [8.4K]3 years ago
6 0

Answer:

0.3cm and/or 3mm

Step-by-step explanation:

When converting 10cm to mm you get 100mm and when putting 100mm to 103mm its visible that the 103mm is larger, but by how much? The difference is 0.3cm and/or 3mm.

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What is the solution to the equation fraction 3 over 5 n minus fraction 4 over 5 equals fraction 1 over 5 n ? (1 point)
xenn [34]

Answer:

the answer is n=2

Step-by-step explanation:

so put the problem like this 3/5n - 4/5 = 1/5n

In order to get the answer u have to subtract 3/5n to both sides which makes the problem -4/5 = -2/5n and when u divide -4/5 by -2/5 it equals 2

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3 years ago
I have a thanksgiving packet. I’m stuck on these last two pages. Can anyone help me on the question. Thanks.
vovikov84 [41]
I think the Honda and Dodge have the same ratio. If you do the math, the ratio will come out to (12,1) or 12 for both types of cars.
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3 years ago
Which expression is equivalent to the one below? 6 ÷ 5<br><br>A 6:1/5<br>B 5:1/6<br>C 5/6<br>D 30​
vlada-n [284]

Answer:

option A

Step-by-step explanation:

6:1/5 can also be written as 6/1÷5 which equals to 6÷5

7 0
2 years ago
Read 2 more answers
A courier service company wishes to estimate the proportion of people in various states that will use its services. Suppose the
a_sh-v [17]

Answer:

Probability that the sample proportion will be less than 0.03 is 0.10204.

Step-by-step explanation:

We are given that a courier service company wishes to estimate the proportion of people in various states that will use its services. Suppose the true proportion is 0.04.

Also, 469 are sampled.

<em>Let </em>\hat p<em> = sample proportion</em>

The z-score probability distribution for sample proportion is given by;

              Z = \frac{ \hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } }  ~ N(0,1)

where, \hat p = sample proportion

           p = true proportion = 0.04

           n = sample size = 469

The Z-score measures how many standard deviations the measure is away from the mean. After finding the Z-score, we look at the z-score table and find the p-value (area) associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X.

So, probability that the sample proportion will be less than 0.03 is given by = P( \hat p < 0.03)

       P( \hat p < 0.03) = P( \frac{ \hat p-p}{\sqrt{\frac{\hat p(1-\hat p)}{n} } } < \frac{0.03-0.04}{\sqrt{\frac{0.03(1-0.03)}{469} } } ) = P(Z < -1.27) = 1 - P(Z \leq 1.27)

                                                                      = 1 - 0.89796 = 0.10204

Now, in the z table the P(Z \leq x) or P(Z < x) is given. So, the above probability is calculated by looking at the value of x = 1.27 in the z table which has an area of 0.89796.

Therefore, probability that the sample proportion will be less than 0.03 is 0.10204.

5 0
3 years ago
The sum of the angle measures of any triangle is
romanna [79]
Let's say that y is the unknown
180=2x+3+5x+1+y
180=7x+4+y
180-7x-4=y
176-7x=y=third angle
3 0
3 years ago
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