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lisabon 2012 [21]
3 years ago
12

A picture framer has a thin board 10 1/2 feet long. The framer notices that 2 3/8 feet of the board is scratched and cannot be u

sed. The rest of the board will be used to make small picture frames. Each picture frame needs 1 2/3 feet of the board. At most, how many complete picture frames can be made?
Mathematics
1 answer:
Anestetic [448]3 years ago
6 0

1. Find how many of the board can be used for picture frames:

10\dfrac{1}{2}-2\dfrac{3}{8}=\dfrac{21}{2}-\dfrac{19}{8}=\dfrac{21\cdot 4-19}{8}=\dfrac{65}{8}\ ft.

2. Each picture frame needs 1\dfrac{2}{3}=\dfrac{5}{3} feet of the board, then the farmer can complete

\dfrac{65}{8}:\dfrac{5}{3}=\dfrac{65}{8}\cdot \dfrac{3}{5}=\dfrac{39}{8}=4\dfrac{7}{8}

picture frames.

Answer: at most he can complete 4 picture frames.

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5) Two machines M1, M2 are used to manufacture resistors with a design
Basile [38]

Answer:

Since M1 has the higher probability of being in the desired range, we choose M1.

Step-by-step explanation:

Problems of normally distributed samples are 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.

Two machines M1, M2 are used to manufacture resistors with a design specification of 1000 ohm with 10% tolerance.

So we need the machines to be within 1000 - 0.1*1000 = 900 ohms and 1000 + 0.1*1000 = 1100 ohms.

For each machine, we need to find the probabilty of the machine being in this range. We choose the one with the higher probability.

M1:

Resistors of M1 are found to follow normal distribution with mean 1050 ohm and standard deviation of 100 ohm. This means that \mu = 1050, \sigma = 100

The probability is the pvalue of Z when X = 1100 subtracted by the pvalue of Z when X = 900. So

X = 1100

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

Z = \frac{1100 - 1050}{100}

Z = 0.5

Z = 0.5 has a pvalue of 0.6915.

X = 900

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

Z = \frac{900 - 1050}{100}

Z = -1.5

Z = -1.5 has a pvalue of 0.0668

0.6915 - 0.0668 = 0.6247.

M1 has a 62.47% probability of being in the desired range.

M2:

M2 are found to follow normal distribution with mean 1000 ohm and standard deviation of 120 ohm. This means that \mu = 1000, \sigma = 120

X = 1100

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

Z = \frac{1100 - 1000}{120}

Z = 0.83

Z = 0.83 has a pvalue of 0.7967.

X = 900

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

Z = \frac{900 - 1000}{120}

Z = -0.83

Z = -0.83 has a pvalue of 0.2033

0.7967 - 0.2033 = 0.5934

M2 has a 59.34% probability of being in the desired range.

Since M1 has the higher probability of being in the desired range, we choose M1.

8 0
3 years ago
Susan Johnson earns a yearly salary of $83,280. a. How much would Susan be paid if she were
Umnica [9.8K]
Just divide the 83,280 by 12, when you do that you get 6940. So 6940 is how much she makes per month then you take that 6940 and divide it by 4 to get what she makes per week, when you do that you get 1735.

So, Susan Johnson would earn 6940$ per month if she would be paid per month and if she was paid per week she would earn 1735$ per week.
5 0
3 years ago
An object is moving at a speed of 2 feet every 8.5 minutes. Express this speed in meters per hour
jekas [21]

Answer:

4.30m/hr

Step-by-step explanation:

2 feet/8.5 mins is 0.235294118 feet per minute, which is 4.3030553875397 metres per hour, which to 2 s.f. is 4.30

8 0
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Sav [38]

Answer:

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Step-by-step explanation:

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What is the value of 7.24 * 0.6​
Vera_Pavlovna [14]

Answer:

4.344

Step-by-step explanation:

Multiply.

5 0
3 years ago
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