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Kitty [74]
3 years ago
6

If Ashley had 4 yards of yarn in Ramen had 11 feet of yarn who had more yarn

Mathematics
1 answer:
Greeley [361]3 years ago
5 0

Answer: Ashley had more yarn, 1 yard = 3 ft 3 times 4 = 12 so 3 yards is 12 feet.

Step-by-step explanation:

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Jerome is going to draw a marble from the bag shown below, replace it, and then draw another marble. What is the probability tha
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Marbles in a bag: 3 green, 4 yellow, 5 blue, 8 pink.

Event A - get a green or yellow marble
Event B - get a pink marble

Events A and B are independent because we draw a marble from a bag with 20 marbles in both cases.
P(A)= \frac{3+4}{3+4+5+8}= \frac{7}{20}  
\\P(B)= \frac{8}{3+4+5+8}= \frac{8}{20} = \frac{2}{5}

Probability of combined events is 
P(A) \times P(B)=\frac{7}{20} \times \frac{2}{5} =\frac{7}{50}
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Step-by-step explanation:

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3 years ago
Describe a situation that can be modeled by the integer -10.
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Answer:

To start a cupcake stand you need ten dollars from your parents, who tell you that you must pay it back. You open up your stand with 10 dollars of debt.

6 0
3 years ago
Can someone check my answer? Is it B? Thanks!
zloy xaker [14]
Solution is where the 2 lines intersect

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he amount of corn chips dispensed into a 12​-ounce bag by the dispensing machine has been identified as possessing a normal dist
const2013 [10]

Answer:

The probability will be 0.3085 or 0

Step-by-step explanation:

Given:

True mean=12.5

Sample mean =12.6

Standard deviation=0.2

Samples=100

To Find:

Probability that exceeds 12.6 ounces.

Solution:

Calculate the Z-score for given means and standard deviation.

So

Z-score= (true mean -sample mean)/standard deviation.

Z-score=(12.5 -12.6)/0.2

=-0.1/0.2

=-0.5

Now Using Z-table

P(X≥-0.5)=p(Z≥-0.5)=0.3085

Hence Probability that sample mean weight exceeds will be  0.3085

                 OR

By using Normal distribution with sampling ,it will be as follows

Z=(X-u)/[Standard deviation/Sqrt(No of samples)]

Z=(12.6-12.5)/(0.2/Sqrt(100)

Z=0.1/0.2/10

Z=5

So P(X≥12.6  )=P(Z≥5)=1

Pr(Z≥5)=1-1=0.

(Refer the attachment )

Hence Probability of getting ounces greater than 12.6 is '0'.

The sampling is of 0.02 size hence graphically it looks likely.

as shown in attachment.

3 0
3 years ago
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