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AfilCa [17]
3 years ago
15

Kayla ordered a 5 lbs bag of starburst. 0.50 lbs of the bag is yellow. What percentage of the bag is NOT yellow?

Mathematics
1 answer:
Sergeu [11.5K]3 years ago
3 0

Answer:

90% of the bag isn't yellow.

if you just multiple the 5 by 20 you realize your left with a 100. then if you multiply the .5 by 20 which equals 10. subtract that and you get 90%

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I need help with this question please
nasty-shy [4]

Answer:

YES

Step-by-step explanation:

First, let's find the total number of seats int he airplane.

14 + 64 + 4 * 108 = 510

The airplane has a total or 510 seats.

Half of the number of seats is 510/2 = 255.

Now let's calculate the number of seats being used and compare with 255.

5/7 * 14 + 5/16 * 64 + 5/9 * 4 * 108 =

= 2 * 5 + 4 * 5 + 12 * 4 * 5

= 10 + 20 + 240

= 270

270 seats are being used.

270 is greater than 255, so more than half of the seats are being used.

Answer: YES

7 0
3 years ago
Solve Ax+Hy=K for x<br> Help!
denis23 [38]

Answer:

x = -\frac{Hy + K}{A}

Step-by-step explanation:

Step 1: Add -Hy to both sides.

  • Ax + Hy - Hy = K - Hy
  • Ax = -Hy + K

Step 2: Divide both sides by A.

  • \frac{Ax}{A} = \frac{-Hy+K}{A}
  • x = -\frac{Hy+K}{A}
3 0
2 years ago
Find the sum of 10 and the difference between 8 and 3
Bess [88]

Answer:

15

Step-by-step explanation:

10+(8-3)=15

................

3 0
2 years ago
Suppose that 11% of all steel shafts produced by a certain process are nonconforming but can be reworked (rather than having to
attashe74 [19]

Answer:

0.9726 = 97.26% approximate probability that X is at most 30

Step-by-step explanation:

Binomial probability distribution

Probability of exactly x sucesses on n repeated trials, with p probability.

Can be approximated to a normal distribution, using the expected value and the standard deviation.

The expected value of the binomial distribution is:

E(X) = np

The standard deviation of the binomial distribution is:

\sqrt{V(X)} = \sqrt{np(1-p)}

Normal probability distribution

Problems of normally distributed distributions can be solved using the z-score formula.

In a set with mean \mu and standard deviation \sigma, the zscore of a measure X is given by:

Z = \frac{X - \mu}{\sigma}

The Z-score measures how many standard deviations the measure is from the mean. After finding the Z-score, we look at the z-score table and find the p-value associated with this z-score. This p-value is the probability that the value of the measure is smaller than X, that is, the percentile of X. Subtracting 1 by the pvalue, we get the probability that the value of the measure is greater than X.

When we are approximating a binomial distribution to a normal one, we have that \mu = E(X), \sigma = \sqrt{V(X)}.

11% of all steel shafts produced by a certain process are nonconforming but can be reworked (rather than having to be scrapped).

This means that p = 0.11

Random sample of 200 shafts

This means that n = 200

Mean and Standard deviation:

\mu = E(x) = np = 200*0.11 = 22

\sigma = \sqrt{V(X)} = \sqrt{np(1-p)} = \sqrt{200*0.11*0.89} = 4.42

(a) What is the (approximate) probability that X is at most 30

Using continuity correction, this is P(X \leq 30 + 0.5) = P(X \leq 30.5), which is the pvalue of Z when X = 30.5. So

Z = \frac{X - \mu}{\sigma}

Z = \frac{30.5 - 22}{4.42}

Z = 1.92

Z = 1.92 has a pvalue of 0.9726.

0.9726 = 97.26% approximate probability that X is at most 30

8 0
3 years ago
Darcy bought 1 2 pound of cheese and 5 6 pound of hamburger for a barbecue. Use the numbers to compare the amounts of cheese and
Zepler [3.9K]

Answer:

  • Darcy bought more Hamburgers than Cheese
  • 1/2 pound of cheese < 5/6 pounds of Hamburgers

Step-by-step explanation:

Darcy bought 1/2 pounds of cheese and 5/6 pounds of hamburgers.

Convert these to decimals to be sure which is larger:

= 1/2                                                               = 5/6

= 0.5 pounds                                                 = 0.83 pounds

The hamburgers are therefore more so the comparison would look like:

1/2 pound of cheese < 5/6 pounds of hamburgers

8 0
2 years ago
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