A Brisardik Pharmaceuticals Product  Presentation by: David Brinser, Tiana Harris              and Michele Hladik
About Brisardik Established in 1987 Based in Columbus, Ohio More than 500 physicians,  chemists, and lab assistants Kn...
Intelliboost Taken once daily Prescription Gradually builds up Strengthen and develops decision  making and processing...
Study Participants Randomly selected 60 adults Customers and research volunteers Intelligence testing 30 given Intelli...
Data Collection Participant IDs Test scores recorded Data sorted in several ways including:        All participants   ...
Patients Taking Intelliboost  Participant                              Participant      ID.     Before    After           ...
Patients Taking Placebo  Participant                              Participant      ID.       Before    After              ...
Data by Age                                                                         58 and                   18-27        ...
Summary Output                   All Data The independent variable                          medicine/placebo The depende...
Linear Correlation                   All Data Coefficient of correlation-r=0.9911        r = 0.991146                    ...
All Data Continued… A few outliers based on the scatter diagram are (94,105),  (96,106), (97,103), (75,75), and (129, 135...
Summary Output-Intelliboost  The independent variable                            the medicine  The dependent variable   ...
Correlation - Intelliboost Coefficient of correlation r=.9847                 slope=1.02528284                           ...
Intelliboost Continued… A few outliers based on the scatter diagram are (113,125) and (99,110). Using point (140,143) an...
Summary Output-Placebo   The independent variable                              the placebo   The dependent variable     ...
Correlation - Placebo Coefficient of correlation r=0.9963                                                     slope=1.045...
Placebo Continued… There are no outliers on the placebo scatter diagram Using point (80,82) and entering it into the reg...
ANOVA                           Intelliboost Test criteria              ANOVA                             f= .33425      ...
Paired Test Breakdown of test   Intelliboost                     Placebo                      Paired Test                ...
Final Recommendations Move forward with Intelliboost. Seek final approval from the United States  Food and Drug Administ...
Closing Thank you! Questions
FootnoteNote: Brisardik Pharmaceuticals and Intelliboostwere invented for the sake of this project. All datawas created fo...
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Intelliboost

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Intelliboost

  1. 1. A Brisardik Pharmaceuticals Product Presentation by: David Brinser, Tiana Harris and Michele Hladik
  2. 2. About Brisardik Established in 1987 Based in Columbus, Ohio More than 500 physicians, chemists, and lab assistants Known for popular ADHD medications and anti depressants Creator of Intelliboost
  3. 3. Intelliboost Taken once daily Prescription Gradually builds up Strengthen and develops decision making and processing functions Could be sold in a variety of sizes Study to determine if medication works and is ready for sale
  4. 4. Study Participants Randomly selected 60 adults Customers and research volunteers Intelligence testing 30 given Intelliboost, 30 placebos Intelligence retesting
  5. 5. Data Collection Participant IDs Test scores recorded Data sorted in several ways including:  All participants  Intelliboost recipients  Placebo recipients  Gender  Age  Improvements made
  6. 6. Patients Taking Intelliboost Participant Participant ID. Before After ID. Before After 1001 140 143 1031 117 117 1002 110 110 1034 95 96 1006 138 135 1035 147 148 1007 141 142 1037 96 105 1010 70 74 1043 74 74 1011 119 122 1045 97 105 1014 113 125 1046 129 135 1015 78 78 1047 149 149 1018 143 144 1048 94 105 1019 125 130 1050 130 128 1022 86 87 1051 99 110 1023 126 127 1054 95 100 1026 76 80 1055 112 112 1027 127 128 1057 114 120 1030 92 95 1060 96 106 Before After Average 110.9333 114.3333
  7. 7. Patients Taking Placebo Participant Participant ID. Before After ID. Before After 1003 80 82 1032 84 84 1004 97 103 1033 71 72 1005 92 92 1036 79 79 1008 90 95 1038 135 130 1009 123 123 1040 116 116 1012 142 138 1041 148 148 1013 77 77 1044 110 112 1016 134 132 1042 89 89 1017 99 100 1039 93 93 1020 81 85 1049 85 86 1021 91 93 1052 111 111 1024 144 142 1053 120 121 1025 112 112 1056 90 94 1028 98 98 1058 75 75 1029 145 145 1059 121 121 Before After Average 104.4 104.9333
  8. 8. Data by Age 58 and 18-27 28-37 38-47 48-57 olderIntelliboost 6 9 8 5 2Placebo 5 8 9 6 2 Increased IQ with Intelliboost Increased IQ with Placebo January March January March 18-27 3 1 18-27 2 1 28-37 4 2 28-37 4 2 38-47 5 3 38-47 4 2 48-57 4 1 48-57 2 1 58 & Older 1 0 58 & Older 0 0
  9. 9. Summary Output All Data The independent variable medicine/placebo The dependent variable the IQ score Scatter diagram All Participants Before/After 160 140 120 100 After 80 60 40 20 0 0 20 40 60 80 100 120 140 160 Before
  10. 10. Linear Correlation All Data Coefficient of correlation-r=0.9911 r = 0.991146 p = 0.000000 Strong positive correlation y=a+bx Represents a good model a=7.663276883 b=.9473999051 The line fits the points well n=60 7.663276883+.94739990 r suggests there is a linear correlation 51(60)=64.5073 between IQ scores and the use of a placebo or new medication slope = 1.03691245
  11. 11. All Data Continued… A few outliers based on the scatter diagram are (94,105), (96,106), (97,103), (75,75), and (129, 135) Using (129,135) and entering it into the regression line the solution would be: 7.6633+.9474(129)=130 This predicted answer is close to the observed answer of 135. This is not too far beyond the scope of available data. The point with the largest residual is (94,105). 7.6633+.9474(94)=97 105-97=8 equaling the largest residual.This point does not accurately represent the regression line.
  12. 12. Summary Output-Intelliboost  The independent variable the medicine  The dependent variable the IQ score  Scatter diagram Patients Taking Intelliboost 160 140 120 100 After 80 Series1 60 Linear (Series1) 40 20 0 0 50 100 150 200 Before
  13. 13. Correlation - Intelliboost Coefficient of correlation r=.9847 slope=1.02528284 5 Strong positive correlation p=0.0000 r=0.9847 This represents a good model r square=0.9696 y=a+bx The line fits the points well a=9.4258 b=0.9457 r suggests there is a linear correlation between n=30 IQ scores and the use of the new medication 9.4258+.9457x
  14. 14. Intelliboost Continued… A few outliers based on the scatter diagram are (113,125) and (99,110). Using point (140,143) and entering it into the regression line: y=9.4258+0.9457(140)=142 with a residual of 1. The predicted answer is close to the observed answer of 143. This is not too far beyond the scope of available data. 97% of participants saw a change in their IQ after taking the new medicine y=9.4258+.9457(99)=103 with a residual difference of 7. y=9.4258+.9457(113)=116 with a residual difference of 9. This point has the largest residual value and does not accurately represent the regression line.
  15. 15. Summary Output-Placebo  The independent variable the placebo  The dependent variable the IQ score  Scatter diagram Patients Taking New Placebo 160 140 120 100 After 80 Series1 60 Linear (Series1) 40 20 0 0 50 100 150 200 Before
  16. 16. Correlation - Placebo Coefficient of correlation r=0.9963 slope=1.04585667 Strong positive correlation p=0.0000 r=0.9963 This represents a good model r square=0.9926 y=a+bx The line fits the points well a=5.8513 b=0.9491 r suggests there is a linear correlation between n=30 the IQ scores and the use of the placebo 5.8513+0.9491
  17. 17. Placebo Continued… There are no outliers on the placebo scatter diagram Using point (80,82) and entering it into the regression line: y=5.8513+0.9491(80)=82 It has a residual of 0. The predicted answer is exactly the same as the observed answer of 82. This is exactly within the scope of available data. Using the point (97,103) and entering it into the regression line: y=5.8513+.9491(97)=98 with a residual of 5. This point has the largest residual value and does not accurately represent the regression line.
  18. 18. ANOVA Intelliboost Test criteria ANOVA f= .33425 p=.5654 Test results Placebo Importance of the mean ANOVA f=.00809 p=.9286
  19. 19. Paired Test Breakdown of test Intelliboost Placebo Paired Test Paired Test t= 4.55279 t= 1.2867 Analyzing results p=.00004387 p= .10418 x= 3.4 x= -.5333 Sx=4.09035 Sx= 2.2702 Validity of test n=30 n= 30 Critical value for 29 deg of freedom is : 2.045
  20. 20. Final Recommendations Move forward with Intelliboost. Seek final approval from the United States Food and Drug Administration Begin marketing Intelliboost Begin production and pharmaceutical distribution of Intelliboost
  21. 21. Closing Thank you! Questions
  22. 22. FootnoteNote: Brisardik Pharmaceuticals and Intelliboostwere invented for the sake of this project. All datawas created for the project purposes only. Datacollection methods are designed to show how thedata would have been collected if the company,drug and study were real.

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