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I know when i enrolled into Masters program, especially without much funding, that its not going to be easy. Nothing ever is.

But somehow there is that hope, that i could be a superwoman excelling at everything. I wish that was true. I work towards it. But its not practical. And that reflects in my GPA. Not perfect.

Gone is the first semester with home-sickness and bitter-taste of Multimedia course, which was far from what the term suggests. Now, this semester, work is consuming all the time.Not just work, but a lot of stuff. No, i am not making excuses. I am counting the parameters that fit in as hurdles. Thats not called making excuses. Thats being aware of your shortcomings.

Well, here they are:

• I wish i had food ready at home whenever im hungry.
• I wish the Groceries keep filling in whenever its time for them.
• I wish that Louisville’s weather is warm and comforting.
• and on
• and so on

Nay, not gonna happen.

I know it.

Time to gear up against all to finish up my semester.

Homeworks/Projects/Reports/Work on campus are so far the highest priority now.

With all this, i am so happy to know that il be going to INDIA next month. Well, its not a vacation. I have driving lessons every weekday. Also GMAT  classes for MBA 3 hours a day…. ah!! the list never ends.

I hope i blog often inspite of this. I am watching my Alexa rank jump by thousand everyday that i dont blog. I dont like that. Come-on now!! I do have an interesting life off the www too! I cant blog everyday now!

Well, enough of picking on things, time to get back to my homeworks due.

Adios!

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Here is the final PDF for all the chapters’ exercises.

Final Pdf

I love the comments down here. I am glad my work is helpful.

Please feel free to have a say!

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For Montgomery: Design and Analysis of Experiments – 6th Edition

• Data Sets in Excel Format
• Data Sets in Minitab and Design-Expert Formats
• Data Sets for Examples in the book
• solutions : http://cc.ee.ntu.edu.tw/~skjeng/MultivariateAnalysis2006.htm
  

Below are a few links with midterm questions and few solutions.

• 1
  
• 2
• Introduction to R
• Review Material
• Few Solutions

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