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il63 [147K]
3 years ago
15

Ms.Rochelle wants to put her 29 students into groups of 6.how many groups of 6 can she make if she puts any remaining students i

n a smaller group?
Mathematics
1 answer:
just olya [345]3 years ago
7 0

7 groups 6 groups of 4 and 1 group of five.


Step-by-step explanation:

I took 29 dots and split them up into 6 groups and had a remander or 5.

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If sin theta = cos theta then find the value of theta
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Step-by-step explanation:

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In my pocket I have 8 quarters and 6 dimes. What fractional portion of the coins in my pocket are dimes
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im pretty sure the answer is 3/4

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Suppose a classroom teacher wants to measure whether offering candy as a reward will increase the number of times that a student
ahrayia [7]

Answer:

C) Matched pairs

Step-by-step explanation:

Matched samples (also called matched pairs, paired samples or dependent samples) is a type of sampling that involves pairing participants that share every characteristic except for the one under study. The paired participants could be same individuals studied at different time such as:

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A tower casts a 30-foot shadow. At the same time, a person who is 6 feet 6 inches tall casts a 4-foot shadow. How tall is the to
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Determine whether there is a difference between the two data sets that is not apparent from a comparison of the measures of cent
Iteru [2.4K]

Answer:

It seems the question is incomplete as the two data sets implied from the question are not visible.

However, two data sets having identical measures of center have a difference.

Step-by-step explanation:

Let's consider these two data sets:

2, 2, 3, 5, 6, 6 and 1, 1, 1, 1, 1, 19

Both were contrived.

The most reliable among the measures of center is the mean. The mean of each is calculated by summing the data and dividing by the number of elements. In both sets, the mean is 4.

The data in the first set seem to be concentrated around the mean indeed. But for the second data set, one of them, 19, is obviously very far from the others and the mean. We need another measure to describe this: standard deviation.

Its formula is:

\rho=\sqrt{\dfrac{\sum (x-\overline{x})^2}{n}}

x represents each data, \overline{x} is the mean and n is the number of items. x-\overline{x} is the deviation from the mean of each data item.

For the first data set, \rho=\sqrt{6}=2.45

For the second data set,

\rho=\sqrt{45}=6.71

The low value of \rho for the first set indicates that the items are all closer to the mean than for the second set.

Variance is the square of the standard deviation. It could also be used.

7 0
3 years ago
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