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TEAS prep course trends. YOUR FUTURE BEGINS TODAY Joel Collazo , MD Maria E Guzman, MPM. PROGRESS PER CAMPUS AND ALL DMC. ANALYSIS OF RESULTS OF STUDENTS THAT TOOK THE REVIEW. DMC all campuses. Hialeah-Miami Lakes Campus. Homestead Campus. Miami Campus. Hollywood campus. - PowerPoint PPT Presentation

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TEAS prep course trendsYOUR FUTURE BEGINS TODAY

Joel Collazo, MDMaria E Guzman, MPM

PROGRESS PER CAMPUS AND ALL DMCANALYSIS OF RESULTS OF STUDENTS THAT TOOK THE REVIEWApr 18thApr 27thMay 7thMay 8thMay 15thTotal3749636567Passed2737495154Failed1012141413DMC all campusesHialeah-Miami Lakes CampusApr 18thApr 27thMay 7thMay 8thMay 15thTotal512242627Passed310222425Failed22222Homestead CampusApr 18thApr 27thMay 7thMay 8thMay 15thTotal88888Passed77777Failed11111Miami CampusApr 18thApr 27thMay 7thMay 8thMay 15thTotal1015171717Passed699910Failed46887Hollywood campusApr 18thApr 27thMay 7thMay 8thMay 15thTotal1414141415Passed1111111112Failed33333COMPARISON BETWEEN REVIEW AND NO REVIEW STUDENTSDMC: TOTAL OF STUDENTS THAT TOOK THE TEAS TEST (JAN-MAY 2012)NO REVIEWREVIEWTOTAL32767394DMC: ALL CAMPUSESNo ReviewReview90-100%0180-89%592370-79%941760-69%681350-59%46740-49%31430-39%232Less than 3060HOMESTEAD:TOTAL OF STUDENTS THAT TOOK THE TEAS TEST (JAN-MAY 2012)NO REVIEWREVIEWTOTAL71 879HOMESTEADNo ReviewReview90-100%0080-89%13570-79%15160-69%19150-59%13140-49%4030-39%50Less than 3020MIAMI:TOTAL OF STUDENTS THAT TOOK THE TEAS TEST (JAN-MAY 2012)NO REVIEWREVIEWTOTAL11617133 MIAMINo ReviewReview90-100%0080-89%22270-79%46360-69%19550-59%17340-49%6230-39%52Less than 3010HOLLYWOOD: TOTAL OF STUDENTS THAT TOOK THE TEAS TEST (JAN-MAY 2012)NO REVIEWREVIEWTOTAL791594 HOLLYWOODNon ReviewReview90-100%0080-89%5270-79%16560-69%19550-59%11340-49%17030-39%100Less than 3010MIAMI LAKES:TOTAL OF STUDENTS THAT TOOK THE TEAS TEST (JAN-MAY 2012)NO REVIEWREVIEWTOTAL612788MIAMI LAKESNo ReviewReview100-90%0180-89%191470-79%17860-69%11250-59%5040-49%4230-39%30Less than 3020DATA COLLECTIONTHE STATISTICAL ANALYSIS WAS DONE WITH DATA OBTAINED FROM ALL FOUR CAMPUSES WHERE THE TEAS PREPARATION COURSE IS CURRENTLY AVAILABLE.BETWEEN JANUARY AND MAY 2012.INCLUDE A TOTAL POPULATION OF 394 STUDENTS.

DATAX0X1X2X3X4X5X6X7NRRMMLHOMHOLL23451117190610010000202814102701001101711191650790000100035520015000115617194622011601000022553200171000254131915130710001000011150080010LegendX0 Less than 30X5 (70-79%)M Miami CampusX1 (30-39%)X6 (80-89%)ML Miami Lakes CampusX2 (40-49%)X7 (90-100%)HOM Homestead CampusX3 (50-59%)NR No reviewHOLL Hollywood CampusX4 (60-69%)R reviewGeneral Regression Analysis: X3 versus R, NR Regression EquationX3 = 1.13229 + 0.0215274 R + 0.129967 NRCoefficientsTerm Coef SE Coef T P 95% CIConstant 1.13229 2.81034 0.40290 0.704 (-6.09191, 8.35650)R 0.02153 0.16012 0.13445 0.898 (-0.39007, 0.43313)NR 0.12997 0.03560 3.65128 0.015 ( 0.03847, 0.22147)Summary of ModelS = 2.52636 R-Sq = 88.26% R-Sq(adj) = 83.57%PRESS = 96.3839 R-Sq(pred) = 64.55%Analysis of Variance Source DF Seq SS Adj SS Adj MS F PRegression 2 239.962 239.962 119.981 18.7984 0.004720 R 1 154.872 0.115 0.115 0.0181 0.898294 NR 1 85.091 85.091 85.091 13.3318 0.014729 Error 5 31.913 31.913 6.383 Total 7 271.875

General Regression Analysis: X4 versus R, NR Regression EquationX4 = 4.74964 - 0.0736235 R + 0.146592 NRCoefficientsTerm Coef SE Coef T P 95% CIConstant 4.74964 3.56606 1.33190 0.240 (-4.41720, 13.9165)R -0.07362 0.20318 -0.36236 0.732 (-0.59590, 0.4487)NR 0.14659 0.04517 3.24558 0.023 ( 0.03049, 0.2627)Summary of ModelS = 3.20572 R-Sq = 88.29% R-Sq(adj) = 83.61%PRESS = 151.251 R-Sq(pred) = 65.54%Analysis of Variance Source DF Seq SS Adj SS Adj MS F PRegression 2 387.492 387.492 193.746 18.8531 0.004690 R 1 279.240 1.349 1.349 0.1313 0.731893 NR 1 108.252 108.252 108.252 10.5338 0.022808 Error 5 51.383 51.383 10.277 Total 7 438.875

General Regression Analysis: X5 versus R, NR Regression EquationX5 = -8.57511 + 0.70737 R + 0.404303 NRCoefficientsTerm Coef SE Coef T P 95% CIConstant -8.57511 6.50567 -1.31810 0.245 (-25.2985, 8.14824)R 0.70737 0.37066 1.90841 0.115 ( -0.2454, 1.66018)NR 0.40430 0.08240 4.90665 0.004 ( 0.1925, 0.61612)Summary of ModelS = 5.84829 R-Sq = 88.16% R-Sq(adj) = 83.43%PRESS = 689.874 R-Sq(pred) = 52.25%Analysis of Variance Source DF Seq SS Adj SS Adj MS F PRegression 2 1273.86 1273.86 636.931 18.6224 0.004819 R 1 450.43 124.57 124.566 3.6420 0.114620 NR 1 823.43 823.43 823.432 24.0752 0.004449 Error 5 171.01 171.01 34.202 Total 7 1444.88General Regression Analysis: X6 versus R, NR Regression EquationX6 = -0.609787 + 0.400043 R + 0.183717 NRCoefficientsTerm Coef SE Coef T P 95% CIConstant -0.609787 7.05776 -0.08640 0.935 (-18.7523, 17.5328)R 0.400043 0.40211 0.99485 0.365 ( -0.6336, 1.4337)NR 0.183717 0.08939 2.05519 0.095 ( -0.0461, 0.4135)Summary of ModelS = 6.34460 R-Sq = 52.92% R-Sq(adj) = 34.09%PRESS = 554.867 R-Sq(pred) = -29.79%Analysis of VarianceSource DF Seq SS Adj SS Adj MS F PRegression 2 226.231 226.231 113.115 2.81004 0.152091 R 1 56.206 39.840 39.840 0.98972 0.365488 NR 1 170.025 170.025 170.025 4.22380 0.095013 Error 5 201.269 201.269 40.254 Total 7 427.500

General Regression Analysis: X7 versus R, NR Regression EquationX7 = -0.475285 + 0.0450222 R + 0.00546112 NRCoefficientsTerm Coef SE Coef T P 95% CIConstant -0.475285 0.253513 -1.87479 0.120 (-1.12696, 0.176392)R 0.045022 0.014444 3.11705 0.026 ( 0.00789, 0.082151)NR 0.005461 0.003211 1.70079 0.150 (-0.00279, 0.013715)Summary of ModelS = 0.227896 R-Sq = 70.32% R-Sq(adj) = 58.45%PRESS = 1.47961 R-Sq(pred) = -69.10%Analysis of Variance Source DF Seq SS Adj SS Adj MS F PRegression 2 0.615316 0.615316 0.307658 5.92370 0.047984 R 1 0.465079 0.504617 0.504617 9.71598 0.026340 NR 1 0.150237 0.150237 0.150237 2.89269 0.149724 Error 5 0.259684 0.259684 0.051937 Total 7 0.875000

INTERPRETATION OF Y-INTERCEP AND SLOPE COEFFICIENTSX3(50-59%)B1 = 0.0215For every one unit increase in the review takers, the interval goes up by 2.15%B2 = 0.1299For every one unit increase in the no review takers, the interval goes up by 12.99%

X4(60-69%)B1 = -0.0736For every one unit increase in the review takers, the interval goes down by 7.36%

B2 = 0.1472For every one unit increase in the no review takers, the interval goes up by 14.72%

X5(70-79%)B1 = 0.7073For every one unit increase in the review takers, the interval goes up by 70.7%B2= 0.4043For every one unit increase in the no review takers, the interval goes up by 40.43%X6(80-89%)

B1 = 0.4000For every one unit increase in the review takers, the interval goes up by 40%

B2 = 0.1837For every one unit increase in the no review takers, the interval goes up by 18.37%X7(90-100%)

B1= 0.0450For every one unit increase in the review takers, the interval goes up by 4.5% B2= 0.0054For every one unit increase in the no review takers, the interval goes up by 0.54%

INTERPRETATION OF THE COEFFCIENT OF MULTIPLE DETERMINATIONR2 = proportion of variation in the dependent variable y that is explained by variation in the independent variables X. When R2 is close to 1, it is an indication that the model is a good fit to the data. X3R2 = 0.8826X4R2 = 0.8829X5R2 = 0.8160X6R2 = 0.5292X7R2 = 0.7032INTERPRETATION OF THE COEFFICIENT OF CORRELATIONThe correlation coefficient is a number that range from -1 to +1. Positive values indicate a relationship between X and Y variables such that a values X increases, values for Y also increaseX3R = 0.9395X4R = 0.9396X5R = 0.9033X6R = 0.7275X7R = 0.8386F-TESTHYPOTHESIS

Ho : 1..10 = 0No linear relationship between the dependent variable and the independent variables.

Ha : 1 0Linear relationship between the dependent variable and the independent variables.

Reject Ho at level of significance if F (model) > F, otherwise do not reject Ho. Using = 0.05 level of significance to find the critical value of the F distribution with ( 2/5)F (model)FX318.79845.79X418.85315.79X518.62245.79X62.810045.79X75.92375.79t-TESTHo : 1 = 0 versus Ha : 1 0If we reject Ho at the 0.05 level , we can conclude that X1 is significantly related to the dependent variable y.X3(R) P= 0.004720(NR) P= 0.014729X4(R) P= 0.731895(NR) P = 0.022808X5(R) P= 0.114620(NR) P = 0.004449X6(R) P = 0.365488(NR) P = 0.095013X7(R) P = 0.026340(NR) P = 0.149724CONCLUSIONS1. The TEAS preparation course is significantly effective.2. For the dependent variable:X3 (50-59%): Higher incidence of No Review (12.99%)X4 (60-69%): Higher incidence of No Review (14.72%)X5 (70-79%): Higher incidence of Review (70.73%)X6 (80-89%): Higher incidence of Review (40.00%)X7 (90-100%): Higher incidence of Review (4.50 %)We can conclude that those students that take the students that take the TEAS preparation course at DMC achieve the best scores in the TEAS test.2. All Models (Regression) explain above 70% of the total of the variation in predicting the scores of the TEAS test takers.

3. The Correlation Coefficient indicates a strong positive correlation, meaning that any increase in each interval depends on the increase of Review and No Review students that take the TEAS test.F-test: we reject Ho, concluding that at least ONE on the independent vari