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 Known for popular ADHD medications and anti depressants Creator of Intelliboost
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
Study Participants Randomly selected 60 adults Customers and research volunteers Intelligence testing 30 given Intelliboost, 30 placebos Intelligence retesting
Data Collection Participant IDs Test scores recorded Data sorted in several ways including: All participants Intelliboost recipients Placebo recipients Gender Age Improvements made
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
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
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
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.
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
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
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.
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
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
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.
ANOVA Intelliboost Test criteria ANOVA f= .33425 p=.5654 Test results Placebo Importance of the mean ANOVA f=.00809 p=.9286
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
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
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.