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Scorpion4ik
2 months ago
5

The equation that represents the canned goods order is 24x + 64y = 384, where x = number of minutes spent producing fruit cans,

and y = number of minutes producing vegetable cans.
If the vegetable assembly line runs for 3 minutes, how many minutes would the fruit assembly line need to run to complete the order of 384 cans? Explain.

Mathematics
2 answers:
PIT_PIT [12.4K]2 months ago
8 0

Response:

8 Minutes

Detailed explanation:

24x + 64y = 384 where y equals 3 minutes

24x + 64930 = 384

24x + 192 = 384

24x = 384 - 192

24x = 192

192 divided by 24 gives 8 minutes


zzz [12.3K]2 months ago
4 0
We must determine the value of x

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Let "x" denote the unit count.
5x represents the total tomato plants in Inessa's garden.
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According to the prompt, half of Inessa's total tomato plants (1/2 x (5x)) are transferred to Ralph's garden.
Consequently, Ralph has 850 tomato plants in total after this transfer.

By using this information, we arrive at the equation we need to solve:
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I hope this clarifies things!:D
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2 months ago
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2 months ago
A certain pen has been designed so that true average writing lifetime under controlled conditions (involving the use of awriting
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Answer:

a) Null hypothesis:\mu \geq 10

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b) p_v =P(t_{17}

Given that the p-value is lower than the significance threshold in this situation, we have sufficient grounds to reject the null hypothesis.

c) p_v =P(t_{17}

In this case, since the p-value exceeds the significance threshold, we have adequate evidence to FAIL to reject the null hypothesis.

d) p_v =P(t_{17}

Here again, with the p-value being less than the significance level, we can reject the null hypothesis.

Step-by-step explanation:

1) Provided data and references

\bar X represents the average of the samples

s denotes the standard deviation of the samples

n=18 indicates the number of samples

\mu_o =10 is the value we are examining

\alpha defines the significance level for the test.

t represents the specific statistic of interest

p_v indicates the p-value relevant to the test (the variable of concern)

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To assess if the true mean is at least 10 hours, we must set up a hypothesis:

Part a

Null hypothesis:\mu \geq 10

Alternative hypothesis:\mu < 10

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t=\frac{\bar X-\mu_o}{\frac{s}{\sqrt{n}}} (1)

Part b

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In this instance, with the p-value being less than the significance level, we have sufficient evidence to reject the null hypothesis.

Part c

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Part d

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p_v =P(t_{17}

Here, with the p-value being lower than the significance threshold, we can reject the null hypothesis.

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