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My name is Ann [436]
1 year ago
6

A chicken farm orders bags of feed from two farmers. Store X charges $20 per bag, and store Y charges $15 per bag. The farm must

obtain at least 60 bags per week to care for the chickens properly. Store Y can provide a maximum of 40 bags per week, and the farm has committed to buy at least as many bags from store X as from store Y. The chicken farm wants to minimize the cost of ordering feed. Let x represent the number of bags of feed from store X and y represent the number of bags of feed from store Y. What are the constraints for the problem?
Mathematics
2 answers:
icang [17]1 year ago
7 0

Answer:

x + y ≥ 60;

y ≤ 40;

x ≥ y;

x ≥ 0, y ≥ 0

Step-by-step explanation:

Here x represents the number of bags of feed from store X and y represents the number of bags of feed from store Y.

Given,

The farm must obtain at least 60 bags per week to care for the chickens properly,

⇒ x + y ≥ 60,

Also, Store Y can provide a maximum of 40 bags per week, and the farm has committed to buy at least as many bags from store X as from store Y.

⇒ y ≤ 40 and x ≥ y,

Now, the number of bags can not be negative,

⇒ x ≥ 0 and y ≥ 0,

Hence, the constraints for the given problem are,

x + y ≥ 60;

y ≤ 40;

x ≥ y;

x ≥ 0, y ≥ 0

velikii [3]1 year ago
4 0
Strange problem...
Constraints are Y <= 40 bags and X=Y in quantity. Nothing else matters.  That's a bad decision unless the chicken farmer lost a poker hand to store X.

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The results of a mathematics placement exam at two different campuses of Mercy College follow: Campus Sample Size Sample Mean Po
Leona [35]

Answer:

z=\frac{(33-31)-0}{\sqrt{\frac{8^2}{330}+\frac{7^2}{310}}}}=3.37  

p_v =P(Z>3.37)=1-P(Z  

Comparing the p value with a significance level for example \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can say that the mean for the Campus 1 is significantly higher than the mean for the group 2.  

Step-by-step explanation:

Data given

Campus   Sample size     Mean    Population deviation

   1                 330               33                      8

   2                310                31                       7

\bar X_{1}=33 represent the mean for sample 1  

\bar X_{2}=31 represent the mean for sample 2  

\sigma_{1}=8 represent the population standard deviation for 1  

\sigma_{2}=7 represent the population standard deviation for 2  

n_{1}=330 sample size for the group 1  

n_{2}=310 sample size for the group 2  

\alpha Significance level provided  

z would represent the statistic (variable of interest)  

Concepts and formulas to use  

We need to conduct a hypothesis in order to check if the mean for Campus 1 is higher than the mean for Campus 2, the system of hypothesis would be:

Null hypothesis:\mu_{1}-\mu_{2}\leq 0  

Alternative hypothesis:\mu_{1} - \mu_{2}> 0  

We have the population standard deviation's, and the sample sizes are large enough we can apply a z test to compare means, and the statistic is given by:  

z=\frac{(\bar X_{1}-\bar X_{2})-\Delta}{\sqrt{\frac{\sigma^2_{1}}{n_{1}}+\frac{\sigma^2_{2}}{n_{2}}}} (1)  

z-test: Is used to compare group means. Is one of the most common tests and is used to determine whether the means of two groups are equal to each other.  

With the info given we can replace in formula (1) like this:  

z=\frac{(33-31)-0}{\sqrt{\frac{8^2}{330}+\frac{7^2}{310}}}}=3.37  

P value  

Since is a one right tailed test the p value would be:  

p_v =P(Z>3.37)=1-P(Z  

Comparing the p value with a significance level for example \alpha=0.05 we see that p_v so we can conclude that we have enough evidence to reject the null hypothesis, and we can say that the mean for the Campus 1 is significantly higher than the mean for the group 2.  

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Answer:

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Answer:

<h2>y=25p-45</h2>

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We first of all start by cumulating all the time she spent for break

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Remember
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8x²-50y²
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