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dalvyx [7]
3 years ago
14

Sort these numbers:

Mathematics
2 answers:
ValentinkaMS [17]3 years ago
8 0
Multiples of 50 are 3000, 450, 50, and 500 and the rest are not multiples of 50
lukranit [14]3 years ago
5 0

Answer:

multiples of 50:   50, 450, 500

not multiples:   515, 410, 555, 540

Step-by-step explanation:

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The cost of 10 oranges is 1.00 what is the cost of 5 dozen oranges
hammer [34]
The answer is 6 dollars, because first you do 1 dollar divided by 10 oranges, which equals 10 cents per orange. Then you do 5 times 12, because a dozen equals 12, which equals 60. Then you do 60 times 10, which equals 600, turn the answer into cents, which 600 cents, and then convert it to dollars. Then you would get an answer of 6 dollars.

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3 years ago
I don't understand the bottom questions. Please help, it's due for tomorrow!
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sergeinik [125]

three consecutive integers 

the sum of the first two integers is 24 more than the third integer.

This means that the three integers are 25, 26 and 27.

8 0
3 years ago
Terrance is putting away holiday decorations he has 204 ornaments that need to be put away into plastic containers each containe
kykrilka [37]

Answer: 34


Step-by-step explanation:

Divide the number of ornaments by the number of sections in the plastic containers.

204/6= 34

3 0
3 years ago
Most people complain that they gain weight during the December holidays. To find out how much, we sample the weights of 23 adult
kakasveta [241]

Answer:

The 88% confidence level for the average weight gain if between -1.30 lbs and 4.58 lbs.

Step-by-step explanation:

We have the standard deviation for the sample, which means that the t-distribution is used to solve this question.

The first step to solve this problem is finding how many degrees of freedom, we have. This is the sample size subtracted by 1. So

df = 23 - 1 = 22

88% confidence interval

Now, we have to find a value of T, which is found looking at the t table, with 22 degrees of freedom(y-axis) and a confidence level of 1 - \frac{1 - 0.88}{2} = 0.94. So we have T = 1.6176

The margin of error is:

M = T\frac{s}{\sqrt{n}} = 1.6176\frac{8.73}{\sqrt{23}} = 2.94

In which s is the standard deviation of the sample and n is the size of the sample.

The lower end of the interval is the sample mean subtracted by M. So it is 1.64 - 2.94 = -1.30 lbs

The upper end of the interval is the sample mean added to M. So it is 1.64 + 2.94 = 4.58 lbs

The 88% confidence level for the average weight gain if between -1.30 lbs and 4.58 lbs.

5 0
3 years ago
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