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lapo4ka [179]
4 years ago
7

Ryan is planning a party for 138 people.Paper plates are sold in packs of twelve.How many packs of paper does ryan need to buy s

o each guest has a plate
Mathematics
1 answer:
Artyom0805 [142]4 years ago
6 0

Divide the number of people by the number of plates per pack:

138 / 12 = 11.5

He need to buy 12 packs of plates to have enough.

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Since you add a number x amount of times by itself when you multiply it by x, we have, for example, 3*2=3+3=6. In addition, 3*3=3+3+3=9 and 3*4=3+3+3+3 (4 times)=12.
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What's 304÷9 with a remainder?
TiliK225 [7]
33.7777 this is the answer I got.
4 0
3 years ago
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A 12 ounce box of cereal costs $3.84, and a 48 ounce container of almond milk costs $5.76.
hram777 [196]

Answer:

<u>B. $0.32</u>

Step-by-step explanation:

You divide the cost of the cereal box ($3.84) with the number of ounces (12).

3.84 / 12 = 0.32


Hope this helped u:)

6 0
4 years ago
At a school 1/2 of the pupils walk to school.
netineya [11]

Answer:

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8 0
3 years ago
Suppose that 100,000 men were screened for prostate cancer for the first time. Of these, 4,000 men had a positive result on the
Virty [35]

An actual two-by-two table is a tabular representation containing two rows and two columns.

  • The columns consist of the tested True positive for prostate cancer and tested True Negative for prostate cancer
  • The rows consist of the predicted positive screening and predicted negative values

<h3>a)</h3>

Mathematically, the set-up of the two-by-two table for this data can be computed as:

Tested                  True Positive for cancer   True Negative    Total

Predicted Positive         800                            3200                 4000

Predicted Negative        100                            95900              96000

Total                                900                            99100              100000  

<h3>b)</h3>

The prevalence rate of prostate cancer in this population is:

\mathbf{ =\dfrac{900}{100000}}

\mathbf{ =\dfrac{9}{1000}}

= 9 per thousand.

<h3>c)</h3>

The calculation of the sensitivity of this screening is as follows:

\mathbf{=\dfrac{TP}{TP+PN_1}}

where;

  • TP = True positive for cancer
  • PN₁ = Predicted Negative for true positive cancer

∴

\mathbf{=\dfrac{800}{800+100}}

= 0.889

= 88.9%

The interpretation shows that 88.9% are correctly identified to be actual positive for prostate cancer.

<h3>d)</h3>

The calculation of the specificity  of this screening is as follows:

\mathbf{=\dfrac{PN_2}{PN_2+TN}}

where;

  • TN = True positive for cancer
  • PN₂ = Predicted Negative for true negative cancer

∴

\mathbf{=\dfrac{95900}{95900+3200}}

= 0.9677

= 96.77%

The interpretation shows that 96.7% of an actual negative is correctly identified as such.

<h3>e)</h3>

The positive predicted value of the screening test is computed as:

\mathbf{= \dfrac{TP}{TP + TN}}

\mathbf{= \dfrac{800}{800 + 3200}}

= 0.2

= 20%

The interpretation of the positive predicted value of this screening shows that 20% that are subjected to the diagnosis of positive prostate cancer truly have the disease.

Learn more about tabular representation here:

brainly.com/question/8307968

6 0
2 years ago
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