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(For MARTIN )Assignment #4: Case Problem “Stateline Shipping and Trans

Resolved Question:

Assignment #4: Case Problem “Stateline Shipping and Transport Company”

Read the “Stateline Shipping and Transport Company” Case Problem on pages 273-274 of the text. Analyze this case, as follows:
1. In Excel, or other suitable program, develop a model for shipping the waste directly from the 6 plants to the 3 waste disposal sites.
2. Solve the model you developed in #1 (above) and clearly describe the results.
3. In Excel, or other suitable program, Develop a transshipment model in which each of the plants and disposal sites can be used as intermediate points.
4. Solve the model you developed in #3 (above) and clearly describe the results.
5. Interpret the results and draw conclusions that address the question posed in the case problem. What are the limits of the study? Write at least one paragraph.

There are two deliverables for this Case Problem, the Excel spreadsheets and an accompanying written description/explanation.
Submitted: 1 year ago.
Category: Business and Finance Homework
Expert:  Mr. Gregory White replied 1 year ago.
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Expert:  Mr. Gregory White replied 1 year ago.
Hello again, Greg here.



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Customer: replied 1 year ago.


still need more help.

Expert:  Mr. Gregory White replied 1 year ago.
What else do you need on the question?
Customer: replied 1 year ago.
Relist: Incomplete answer.
Expert:  Mr. Gregory White replied 1 year ago.
I notice you have relisted - is there anything else I can explain in the response? What else can I help with on your prompt?
Customer: replied 1 year ago.

There are two deliverables for this Case Problem, the Excel spreadsheets and an accompanying written description/explanation. Can you please submit both of them electronically via the dropbox. Because


I've not seen the Excel spreadsheets. thank you.

Expert:  Mr. Gregory White replied 1 year ago.
Okay, I see you have now requested Martin so I will allow him to update for you as needed.
Expert:  Josie-Mod replied 1 year ago.

Hi, I am a Moderator for this topic. I sent your requested Professional, Martin, a message to follow up with you here, when he is back online. If I can help further, please let me know. Thank you for your continued patience.

Expert:  R.R. Jha replied 1 year ago.
Hi,

I'd be glad to help with this. Let me know if you still need it.


Thanks
Customer: replied 1 year ago.
Yes I still need it.
Expert:  R.R. Jha replied 1 year ago.
Please download excel file below

https://www.box.com/s/weshclta2whyjwsoz303


Please rate the answer.

Let me know if you need help with any other problems.

Thanks
Customer: replied 1 year ago.

There are two deliverables for this Case Problem, the Excel spreadsheets and an accompanying written description/explanation. Please provide the writen description/explanation.

Expert:  R.R. Jha replied 1 year ago.
Written description is also included in excel sheet.


Thanks
Customer: replied 1 year ago.
They got to be separate and submit.
Expert:  R.R. Jha replied 1 year ago.
Ok, I'll separate them and get back to you.
Expert:  R.R. Jha replied 1 year ago.
Please download zip file below. Included is the Excel spreadsheet and a word document.

https://www.box.com/s/hgdpxsnt4x15d8ht9wmq


Please rate the answer. Bonus is appreciated.

Thanks
R.R. Jha, Tutor
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Customer: replied 1 year ago.

 


MAT 300


M&Ms® Project


Part 4


 


Use the M&Ms® data to complete this assignment. You will be using the methods of 7.4 for the color proportions and 7.2 for the mean number of candies per bag. For the Bonus you will be using the methods of 7.5.


 


You can use StatCrunch to assist with the calculations. A link for StatCrunch can be found under Tools for Success in Course Home. Here is also a link: http://statcrunch.pearsoncmg.com/statcrunch/larson_les4e/dataset/index.html. You can also find additional help on both confidence intervals and StatCrunch in the Online Math Workshop under Tab: “MAT300 Archived Workshops”. Specifically you will be looking for Hypothesis Tests and Using Technology – Hypothesis Testing.


 


Submit your answers in Excel, Word or pdf format. Submit your file through the M&M® project link in the weekly course content. Be sure to state clear hypotheses, test statistic values, critical value or p-value, decision (reject/fail to reject), and conclusion in English (what does reject/fail to reject the null mean in terms of your hypotheses). When doing calculations for the color proportions, keep at least 4-6 decimal places sample proportions, otherwise you will encounter large rounding errors.


 


Masterfoods USA states that their color blends were selected by conducting consumer preference tests, which indicated the assortment of colors that pleased the greatest number of people and created the most attractive overall effect. On average, they claim the following percentages of colors for M&Ms® milk chocolate candies: 24% blue, 20% orange, 16% green, 14% yellow, 13% red and 13% brown.


 


3 pts. Test their claim that the true proportion of blue M&Ms® candies is 0.24 at the 0.05 significance level.


 


3 pts. Test their claim that the true proportion of orange M&Ms® candies is 0.20 at the 0.05 significance level.


 


3 pts. Test their claim that the true proportion of green M&Ms® candies is 0.16 at the 0.05 significance level.


 


3 pts. Test their claim that the true proportion of yellow M&Ms® candies is 0.14 at the 0.05 significance level.


 


3 pts. Test their claim that the true proportion of red M&Ms® candies is 0.13 at the 0.05 significance level.


 


3 pts. Test their claim that the true proportion of brown M&Ms® candies is 0.13 at the 0.05 significance level.


 


3 pts. On average, they claim that a 1.69 oz bag will contain more than 54 candies. Test this claim (µ > 54) at the 0.01 significance (σ unknown).


 


BONUS: 5 pts. It is important that the total number of candies per bag does not vary very much. As a result of this quality control, the desired standard deviation is 1.5. Test the claim (α = 0.05) that the true standard deviation for number of candies per 1.69 oz bag is less than 1.5 (σ < 1.5).


 


HELP:


Color proportions


Revisiting the purple example from before: we had found 732 purple candies out of 3500 total candies. The sample proportion of purple candies is 732/3500 = 0.2091428571.
Now let's say you want to test that the true proportion of purple candies is 21% (0.21).
First define your hypotheses: Claim - p = 0.21
H0: p = 0.21 (null)
H1: p ≠ 0.21 (alternative)


 


Next we need to calculate the test statistic. For this type of test, it is a z and a two tailed test. You have been asked to test at alpha = 0.05, so we will reject the null if the test statistic, z, is positive and greater than 1.96 OR if the test statistic, z, is negative and smaller than -1.96. (NOTE: This is the same as if the absolute value of the test statistic is greater than 1.96.)


 


 



Review: → sample proportion (0.209143)
p → assumed value in null (0.21)
q → 1 - p (0.79)
n → total number of candies (3500)


 


Test statistic:


 


 


 


Because the test statistic is negative and is NOT smaller than -1.96, we FAIL TO REJECT. We have insufficient evidence to suggest the true proportion is not 0.21.
You will follow this procedure for EACH color.


 


IF using the TI 83/84: STAT, TESTS, 1-PropZTest


Po: assumed proportion (0.21)


x: number of successes (732)


n: total number of candies (3500)


In the next line, select the correct alternative hypothesis/test, then Calculate, Enter.


On the next screen, the second line shows the test.


The next line has the test statistic.


The next line has the p-value of the test (if less than significance level, reject null)


The next two lines have and n.


 


IF using StatCrunch, you will want Stat > Proportions > One Sample > with summary. In the first window, you will enter the same information as for part 3: number of the color (number of successes) and total number of candies (number of observations). Then click Next, and in the following window, enter the claimed proportion as a decimal in the box next to “null”, select the inequality that matches the alternative hypothesis and then click Calculate. The output will include the test statistic (Z-Stat) and the p-value.


Hypothesis test results:
p : proportion of successes for population
H0 : p = 0.21
HA : p ≠ 0.21
























Proportion



Count



Total



Sample Prop.



Std. Err.



Z-Stat



P-value



p



732



3500



0.20914286



0.006884766



-0.12449848



0.9009



 


 


 


 


Mean


When you test for the mean number of candies per bag, you will need (sample mean), s (sample standard deviation) and n (total number of bags) as before.


The test statistic is a z, because we have a large sample.


Test statistic:


 


 


 


 


IF using the TI 83/84: STAT, TESTS, Z-Test


Input: Stats


m0: assumed mean value


s: sample or known standard deviation


: sample mean


N: sample size


Then select the correct alternative hypothesis/test, then Calculate, Enter.


On the next screen, the second line shows the test.


The next line has the test statistic.


The next line has the p-value of the test (if less than significance level, reject null)


The next two lines have and n.


 


IF using StatCrunch, you will use Stat > Z Statistics > one sample as with part 3.


 


 


BONUS


This is a test about a standard deviation. You can use StatCrunch, however, StatCrunch deals with variances, so you would enter 1.5² = 2.25 as the null value. You would use Stat > Variance > One Sample. Again, it would be best to use the actual data entered into a column, but you can also use summary values, as long as you carry at least 4 decimal places.


 


At the end of this project, you will be writing a report, explaining the method and presenting the results from each part of the project. You might find it useful to write this as you complete the work, so the report will be mostly written by the time it is assigned.


 

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