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aleksklad [387]
3 years ago
6

I rectangular prism with a square base has a high of 7 inches the base of the prism can be completely covered with no overlap by

16 squares that each have a edge length of 1 inch what is the total surface area of the rectangular prism
Mathematics
1 answer:
Alenkinab [10]3 years ago
6 0

Answer:

144 square inches

Step-by-step explanation:

Total surface area of the rectangular prism =  Sum of all the area of its sides

Since it has a square base which can be covered by 16 squares of length 1 inch each, then;

length of its base = 4 inches

So that,

i. Area of its base = length^{2}

                          = 4^{2}

area of its base = 16 square inches

ii. Area of one of the surfaces of its sides = length x width (or base x height)

                                       = 4 x 7

                                       = 28 square inches

Sum of the area of its vertical sides = 4 x 28

                                        = 112 square inches

Thus,

Total surface area of the prism = 16 + 16 + 112

                                          = 144 square inches

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Answer:

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Step-by-step explanation:

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8 0
3 years ago
Number 8.... really confused.
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7 0
3 years ago
S=hp+2b solve for h i forgot the word to decribe how i forgot to do tis
irga5000 [103]

To solve for h, you need to isolate/get h by itself in the equation:

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5 0
3 years ago
Please Help Me!
Rainbow [258]
For the first option, the range is a measure of variability which measures the spread of the data set from the least value to the greatest value, but it does not take into account the variability of the other data values of the data set. The range is easily affected by the presence of outliers (data points that are away from other data points). Thus the range is regarded as a weak measure of variability and is not used when other measures of variability are available. Thus, that the range of the two data sets are equal does not mean that the data sets have the same variability. Therefore, the first option is not the correct answer.

For the second option, the median is not a measure of variability. Thus, that a data set has a greater median than another data set does not mean that the data set would have a greater variability. Therefore, the second option is not the correct answer.
For the third option, the inter-quartile range (IQR) is a better measure of variability than the range because it takes into account more data points than the range. Now, because, the the IQR of Team 2 is less than the IQR of Team 1, this shows that Team 1 have greater variability than Team 2 and thus the conclusion of the coaches are inaccurate. Therefore, the third option is the correct answer.

For the fourth option, the mean absolute deviation, MAD, is a better measure of variability than the IQR because it takes into account all the points of the data set. While IQR measures variability with respect to the median, MAD measures variability with respect to the mean. Because we are told that the data sets are not symmetrical, the median will be a better measure of the center than the mean, thus the IQR will present a better measure of the variability of the data sets. Thus, though the MAD for Team 2 was calculated to be a larger number than the MAD for Team 1, the information can be misleading in arriving at a conclusion on which data set has more variability because the data sets are not symmetrical. Therefore, the fourth option is not the correct answer.
4 0
3 years ago
Read 2 more answers
Help me please with the question in the photo
Marianna [84]

Answer:

i think that the correct answer would be the second one

Step-by-step explanation:

i am so so sorry if the answer is wrong

hope this helps

plz mark brainliest

and plz hit the thanks button

8 0
2 years ago
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