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Numerical analysis homework help

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QBA

I need someone who is efficient in quantitative business analysis for a 6 week course. I only have 5 more weeks remaining. Course is fast paced with assignments due throughout the week with discussion boards.

Using the research question and two variables your learning team developed for Week 2

 

Using the research question and two variables your learning team developed for the Week 2 Business Research Project Part 1 assignment, create a no more than 350-word inferential statistics (hypothesis test). Include:







the critical value of χ2 for a 2 x 2 table using a 0.05 significance level is 3.841. If the value of the χ2 statistic in Problem #21 had been 4.613, state your conclusion about the relationship between gender and colorblindness.

Question 21 of 40

5.0 Points

The critical value of χ2 for a 2 x 2 table using a 0.05 significance level is 3.841. If the value of the χ2 statistic in Problem #21 had been 4.613, state your conclusion about the relationship between gender and colorblindness.

  A.

Reject H0. There is not sufficient evidence to support the claim that gender and colorblindness are related.

  B.

A researcher claims that the amounts of acetaminophen in a certain brand of cold tablets have a mean different from the 600 mg claimed by the manufacturer.

1

A researcher claims that the amounts of acetaminophen in a certain brand of cold tablets have a mean different from the 600 mg claimed by the manufacturer. Test this claim at the 0.02 level of significance. The mean acetaminophen content for a random sample of n = 41 tablets is 603.3 mg. Assume that the population standard deviation is 4.9 mg.

Stats Final paper

Final Paper



The final paper provides you with an opportunity to integrate and reflect on what you have learned during the class.  

The question to address is: “What have you learned about statistics?”  In developing your responses, consider – at a minimum – and discuss the application of each of the course elements in analyzing and making decisions about data (counts and/or measurements). 



The course elements include:

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