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Sindrei [870]
3 years ago
10

Jason started a company that makes and sells banjos. He spent $15,000 to start the company and spends $50 to make each banjo. Th

e company sells each banjo for $150. The graph of the system of linear equations representing Jason’s company’s costs and revenue for making and selling x banjos is shown below.
How many banjos will his company need to sell for costs and revenue to be equal?

Mathematics
1 answer:
OleMash [197]3 years ago
8 0

Answer:

150

Step-by-step explanation:

Each banjo sold contributes $100 toward profit. Then $15000/$100 = 150 banjos need to be sold to cover the $15,000 in start-up costs. A properly extended graph shows this.

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Sveta_85 [38]

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72

Step-by-step explanation:

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3 years ago
A fixed cost: Multiple Choice Requires the future outlay of cash and is relevant for future decision making. Does not change wit
Charra [1.4K]

Answer:

A fixed cost: Does not change with changes in the volume of activity within the relevant range

Step-by-step explanation:

Fixed Cost:

In economics, a fixed cost in a specified period of time does not change with respect to an increase or decrease in the production of goods or services. In contrast, the variable cost changes in proportion to changes in production of goods or services.

Examples of Fixed Cost:

Salaries, Rents, insurance payments, taxes, some utilities etc

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4 years ago
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What number is the same as 7 tens and 20 ones?<br> What number is the same as 5 tens and 13 ones ?
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7 tens=10,10....=70
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4 0
4 years ago
The final margin of an NFL football game is approximately normally distributed, with a mean equal to the gambling point spread a
nika2105 [10]

Answer:

The Giants had 0.1949 = 19.49% probability of winning initially.

Step-by-step explanation:

When the distribution is normal, we use 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.

Mean equal to the gambling point spread and a standard deviation of 14 points. The Patriots had been favored by 12 points.

This means that \mu = 12, \sigma = 14

What does that fact imply about the Giants' initial (i.e., pre-game) chances of winning

P(X > 0): Probability of Patriots winning.

P(X < 0): Probability of Giants winning.

So we want to find P(X < 0), which is the pvalue of Z when X = 0. So

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

Z = \frac{0 - 12}{14}

Z = -0.86

Z = -0.86 has a pvalue of 0.1949

The Giants had 0.1949 = 19.49% probability of winning initially.

7 0
3 years ago
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