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tamaranim1 [39]
3 years ago
14

A 4 1/2 pound bag of raisins must be divided equally into 1/4 pound portions for a cooking class. Enter the number of 1/4 pound

portions that can be made from 4 1/2 pounds of raisins. ​
Mathematics
1 answer:
Mars2501 [29]3 years ago
7 0

Answer:

18

Step-by-step explanation:

  • 1/4 x 4 1/2 = 18

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20. What is the volume, in terms of r, for a cylindrical
inysia [295]

Step-by-step explanation:

Volume of cylindrical container

= \pi {r}^{2} h \\  \\  = 3.14 \times ( {3.25)}^{2}  \times 10 \\  \\  = 3.14 \times 10.5625 \times 10 \\  \\  = 331.6625  {cm}^{3}  \\  \\  \approx \: 331.66 \:  {cm}^{3}

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find the area of a parrellelogram whose base is of length 25 cm and the corresponding altitude is of length 8.4 cm​
Free_Kalibri [48]

Answer:

Check the above photo and do the sum

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2 years ago
The number 75 can be written as the sum of the squares of 3 different positive integers. what is the sum of these 3 integers? 17
ioda

75=7^2+5^2+1^1\\\\ 7+5+1=13

6 0
3 years ago
A production process is known to produce a particular item in such a way that 5 percent of these are defective. If two items are
IRINA_888 [86]

Answer:

0.0025 = 0.25% probability that both are defective

Step-by-step explanation:

For each item, there are only two possible outcomes. Either they are defective, or they are not. Items are independent of each other. So we use the binomial probability distribution to solve this question.

Binomial probability distribution

The binomial probability is the probability of exactly x successes on n repeated trials, and X can only have two outcomes.

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

In which C_{n,x} is the number of different combinations of x objects from a set of n elements, given by the following formula.

C_{n,x} = \frac{n!}{x!(n-x)!}

And p is the probability of X happening.

5 percent of these are defective.

This means that p = 0.05

If two items are randomly selected as they come off the production line, what is the probability that both are defective

This is P(X = 2) when n = 2. So

P(X = x) = C_{n,x}.p^{x}.(1-p)^{n-x}

P(X = 2) = C_{2,2}.(0.05)^{2}.(0.95)^{0} = 0.0025

0.0025 = 0.25% probability that both are defective

4 0
2 years ago
What is the least common denominator for the fractions 5/6 and 4/5 ?
laila [671]
C.30 because if u multiply the denominators you get 30 not the other numbers


5 0
3 years ago
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