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Post a summary on how predictive analytics might be used to support healthcare. Note: These topics may overlap as you will find in the readings (e.g., some processes require both Data Mining and Analytics). In your post include the following: Describe a practical application for predictive analytics in your nursing practice. What challenges and opportunities do you envision for the future of predictive analytics in healthcare?

There are 4 homework assigments total 149 Questions all together 90% of them are Multiple Choice Due 2/2/17 Today I need a guaranteed "A" If you do not specialize in MATH do not waste my time trying to accept the assignment 

no need to copy the questions, only need the answer

Business finance questions 8-1 8-4  

Blair & Rosen, Inc. (B&R) is a brokerage firm that specializes in investment portfolios designed to meet the specific risk tolerances of its clients. A client who contacted B&R this past week has a maximum of $50,000 to invest. B&R’s investment advisor decides to recommend a portfolio consisting of two investment funds: an Internet fund and a Blue Chip fund. The Internet fund has a projected annual return of 12 percent, and the Blue Chip fund has a projected annual return of 9 percent. The investment advisor requires that at most $35,000 of the client’s funds should be invested in the Internet fund. B&R services include a risk rating for each investment alternative. The Internet fund, which is the more risky of the two investment alternatives, has a risk rating of 6 per $1,000 invested. The Blue Chip fund has a risk rating of 4 per $1,000 invested. For example, if $10,000 is invested in each of the two investment funds, B&R’s risk rating for the portfolio would be 6(10) 1 4(10) 5 100. Finally, B&R developed a questionnaire to measure each client’s risk tolerance. Based on the responses, each client is classified as a conservative, moderate, or aggressive investor. Suppose that the questionnaire results classified the currentclient as a moderate investor. B&R recommends that a client who is a moderate investor limit his or her portfolio to a maximum risk rating of 240.   a. Formulate a linear programming model to find the best investment strategy for this client.   b. Build a spreadsheet model and solve the problem using Solver. What is the recommended investment portfolio for this client? What is the annual return for the portfolio?

Test 2 Name_____________________________ Date______________________________           1.  The creation of the normal curve concept is popularly credited to  a.  Blaise Pascal  b.  Henry Gossett  c.  Sir Bryant McKenna  d.  Karl Gauss    2.  The normal curve is a.  symmetrical  b.  unimodal  c.  asymptotic to the abscissa  d.  all of these    3.  A bimodal distribution may never be a.  symmetrical  b.  a frequency distribution  c.  normal  d.  all of these    4.  A normal curve always has a.  a greater frequency of scores around the center than in the tails  b.  a greater frequency of scores in the tails than around the center  c.  a greater frequency of scores above the mean than below the mean  d.  a greater frequency of scores below the mean than above the mean    5.  Under the normal curve  a.  the mean lies to the right of the median  b.  the mode lies to the left of the mean  c.  the median lies to the left of the mode  d.  none of these    6.  The normal curve is  a.  a frequency distribution curve  b.  leptokurtic  c.  platykurtic  d.  skewed to the left        7.  When the normal curve is plotted according to standard deviation units,  each having a value of 1.00, it is called a.  platykurtic  b.  leptokurtic  c.  the standard normal curve  d.  the deviation curve    8.  Under the normal curve, 68% of the cases must always fall a.  above the mean  b.  between + 1 standard deviation units from the mean  c.  between + 2 standard deviation units from the mean  d.  all of these, depending on the particular shape of the curve    9.  Under the normal curve, 50% of the cases must always fall a.  below the mean  b.  above the mean  c.  below the median  d.  all of these    10. When more than 34% of the cases under the curve fall between the mean and a z score of + 1, then a.  68% of the cases fall below the mean  b.  the curve cannot be symmetrical  c.  the curve cannot be normal  d.  none of these    11. When the mean and median do not coincide, then a.  the curve cannot be normal  b.  the curve cannot be skewed  c.  the curve cannot be unimodal  d.  the curve cannot be a frequency distribution curve    12. Under the normal curve the 50th percentile always falls at the a.  mean  b.  median  c.  mode  d.  all of these    13. Under the normal curve, between the z scores of + 1 and + 2, there are  always a.  68% of the cases  b.  95% of the cases  c.  13.50% of the cases  d.  sometimes a, and sometimes b, but never c      14. Under the normal curve, the percentage of cases falling above a z score of + 3, is a.  68%  b.  95%  c.  more than 1%  d.  less than 1%  15. Under the normal curve, between z scores of + 10, there are always a.  100% of the cases  b.  95% of the cases  c.  68% of the cases  d.  more than 99% but less than 100% of the cases    16. When a z score falls to the left of the mean a.  it must always be given a minus sign  b.  it must always be greater than 1  c.  it must always be less than 1  d.  none of these, since z scores never fall to the left of the mean    17. If an IQ distribution is normal and has a mean of 100 and a standard  deviation of 15, then 68% of all those taking the test scored between IQ's of a.  100 and 115  b.  85 and 100  c.  92.5 and 107.5  d.  85 and 115    18. If an IQ distribution is normal and has a mean of 100 and a standard  deviation of 15, then 99% of all those taking the test scored between IQ's of a.  0 and 150  b.  55 and 145  c.  85 and 115  d.  92.5 and 107.5    19. Under the normal curve, when the z score is equal to + 1, then a.  the standard deviation of the distribution of raw scores must equal 15  b.  the standard deviation of the distribution of raw scores must equal 10  c.  the standard deviation of the distribution of raw scores must equal 0  d.  none of these    20. Under the normal curve, if the mean of the distribution of raw scores is  equal to 68, then its equivalent z score is equal to  a.  10  b.  1  c.  0  d.  cannot tell, since the SD is not given     21. Assume a normal distribution of height scores, with a mean of 68" and a  standard deviation of 3", then a.  68% of the cases must fall between 65" and 71"  b.  50% of the cases must fall below 68"  c.  68% of the cases must fall at exactly 68"  d.  a and b, but not c    22. The larger the absolute value of the z score (regardless of its sign), then a.  the higher its equivalent raw score  b.  the lower its equivalent raw score  c.  the further it is from the mean  d.  the closer its equivalent raw score must be to the mean    23. The z score provides direct information regarding how far a given raw score  is a.  from the mean in units of standard deviation  b.  from the mean in percentage units  c.  from the lowest score in percentile units  d.  from the highest score in percentile units    24. On any normal distribution the 50th percentile corresponds with a z score  of a.  0  b.  50  c.  68  d.  + 1  25. Under the normal curve, if a given raw score falls at the 84th percentile,  then its equivalent z score must be equal to a.  the mean  b.  0  c.  + 1  d.  + 2   

Industry standards suggest that 8 percent of new vehicles require warranty service within the first year. Jones Nissan in Sumter, South Carolina, sold 12 Nissans yesterday. (Round your mean answer to 2 decimal places and the other answers to 4 decimal places.)    a. What is the probability that none of these vehicles requires warranty service?        Probability [removed]     b. What is the probability exactly one of these vehicles requires warranty service?        Probability [removed]     c. Determine the probability that exactly two of these vehicles require warranty service.        Probability [removed]     d. Compute the mean and standard deviation of this probability distribution.            Mean µ  [removed]     Standard deviation ?  [removed]   References eBook & Resources    

  Investigating and Optimizing Three-Dimensional Shapes

Stats quiz 20 questions Daenerys  

4.567 trillion (4,567,000,000,000) meters to Gigameters