order paper  
more phones
Academic writing services  
Custom written essay Book report Research paper Dissertation Resume and CV Editing and proofreading  
main menu
By ordering custom paper you get
  • 24/7 Support
  • Over 100 professional US Writers
  • 300 words per page
  • Flexible discount system
  • FREE revision (within 2 days)
  • Anti-Plagiarism Software Check
we accept
sample essays
Accounting Essays
Admission Essays
Analysis Essays
Art Essays
Biography Essays
Biology Essays
Book Review Essays
Business Essays
Case Studies Essays
Cause and Effect Essays
Character Analysis Essays
Communication Essays
Communication and Media Essays
Compute Technologies Essays
Consideration Essays
Controversial Essays
Description Essays
Economics Essays
Education Essays
Evaluation Essays
Explanation Essays
History Essays
Job Essays
Law Essays
Management Essays
Medicine Essays
Music Essays
Personal Essays
Personal Experience Essays
Persuasive Essays
Persuasive Speech Essays
Philosophy Essays
Political science Essays
Politics Essays
Proposal Essays
Psychology Essays
Reflective Essays
Religion Essays
Research Essays
Response Essays
School Essays
Science Essays
Sociology Essays
Technology Essays
World Literature Essays
Case Study: Quantitative Reasoning essay
← Definition of Public RelationsInformation Sheet for MT. St. Helens →

Case Study: Quantitative Reasoning. Custom Case Study: Quantitative Reasoning Essay Writing Service || Case Study: Quantitative Reasoning Essay samples, help

This case presents a scenario in which a research study has carried out, and the results show that a new treatment will delay the emergence and progression of severe complications of a certain disease. Specifically, the new treatment was found to delay complications of congestive heart failure according to the following distribution (number of months):[3, 5, 6, 6, 8, 8, 9, 9, 9, 10, 11, 45]

Accordingly, the researchers indicated that the average number of months that the new treatment was able to delay the progression of complications was 10.75 and the standard deviation for the distribution of months was 11.02. As a result, the researchers indicated that the new treatment produced promising results, which should warrant additional funding for further research. The same opinion is held by patients and their families who are waiting for the Board of Directors of the American Heart Association to approve funding for further research on the new treatment. This paper reviews information regarding the new treatment and compares this to the old treatment besides providing a variety of factors that should be considered before making a decision about funding this research.

From the case scenario, it is important to note that the average number of months that the new treatment was capable of delaying complications is: [(3+5+6+6+8+8+9+9+9+10+11+45)/12 = 129/12 = 10.75], and the standard deviation is 11.02. For the old treatment, the average number of months for which the treatment delayed disability and other complications in the patients was 9.6 and the standard deviation was 3.2. In this case, it is evident that the difference between the mean for the new treatment and the old treatment is relatively small (compare 10.75 and 9.6). On the other hand, the difference between the standard deviation for the new treatment and the old treatment is very large (compare 11.02 and 3.2). This implies that the distribution of months for the new treatment is more spread out as opposed to the old treatment. Furthermore, for the new treatment, the mean and the standard deviation are almost the same (compare 10.75 and 11.02), meaning that the data is in a normal distribution as opposed to the case for the old treatment whose data is skewed (DIG Stats, 2011; StatSoft, n.d.).

Therefore, before making a decision about funding the new research, it is important to consider the following. First, from the distribution of months for the new treatment, 3 and 45 are major outliers. Consequently, the degree of distortion that resulted from these values could have influenced the results provided by the researchers. Perhaps, a better way of defining the typical score in this case would be to calculate the median. From the distribution, the median equals to: [3, 5, 6, 6, 8, 8, 9, 9, 9, 10, 11, 45) (8+9)/2 = 8.5

As a result, by merely calculating the arithmetic mean for this distribution, the effect of 45 might have caused the final result (10.75) to indicate that the new treatment is much better than the old one (DIG Stats, 2011). For that, it is important to consider the median as the more accurate measure of the research findings in this case. Therefore, considering that the median is 8.5 and the average number of months is 10.75, and comparing this to a mean value of 9.6 for the old treatment, it follows that the mean value for the new treatment is so far misleading.

Based on the findings described in the foregoing discussions, it is obvious that the efficacy of the new treatment in delaying progression of complications in patients is not significantly different from that of the old treatment. Therefore, despite that the results provided by the researchers are promising, further research would not bear any fruits if the current data results are anything to go by. However, further research may reveal significant differences between the two types of treatment if the researchers seek to address the current statistical limitations (DIG Stats, 2011; StatSoft, n.d.). Otherwise, the current study is not worth granting additional funds.

Case Study: Quantitative Reasoning. Custom Case Study: Quantitative Reasoning Essay Writing Service || Case Study: Quantitative Reasoning Essay samples, help

Order Now
Order nowhesitating

Related essays

  1. Information Sheet for MT. St. Helens
  2. Community Demographics and School Data
  3. Definition of Public Relations
  4. The Effectiveness of Group Therapy

order now

Order now
why choose us
96% of satisfied returning customers
24/7 customer support
A wide range of services
Up-to-date sources
100% privacy guaranteed
MA/PhD writers
Custom written papers only
Free plagiarism report
Free revision (within 2 days)
Free extras by your request
Direct communication with a writer
Are your writers qualified for the custom writing?
How quick can my order be accomplished?
Is it legal to buy custom essays, term papers or book reports from your company?
Are essays offered by your company truly custom-written?
Is it safe to buy from SupremeEssays.com?
How secure is the payment system of your company?
Can I submit custom essays or term papers done by your company as my own?
How can I contact your company if I've got problems with my ordered paper?

Finally, I've found the real custom writing service . My grades are saying "Thank you, it's been a pleasure to work with you."

Jamal, South Africa

I can't believe you finished my essay under such a short deadline! You saved me from a disaster once again. You guys deliver exactly what you promise. I'll be back. That's for sure!

William H , Kansas, US

contact us
Toll free for US & Canada only. International callers are charged for outgoing calls.

Our phone numbers:
Toll free 1(877)801-5587
Call now 1(702)418-3797
SupremeEssays.com provides custom term paper writing/rewriting services inclusive of research material for assistance purposes only. The term papers should be used with proper reference and are not meant to replace actual assignments.

Get 15% off your first custom essay order

Order now

from $12.99/PAGE