000 09289nam a2201225Ia 4500
000 07117ntm a2200205 i 4500
001 73713
003 0
005 20250920173613.0
008 180905n 000 0 eng d
010 _z
_z
_o
_a
_b
015 _22
_a
016 _2
_2
_a
_z
020 _e
_e
_a
_b
_z
_c
_q
_x
022 _y
_y
_l
_a2
024 _2
_2
_d
_c
_a
_q
028 _a
_a
_b
029 _a
_a
_b
032 _a
_a
_b
035 _a
_a
_b
_z
_c
_q
037 _n
_n
_c
_a
_b
040 _e
_erda
_a
_d
_b
_c
041 _e
_e
_a
_b
_g
_h
_r
043 _a
_a
_b
045 _b
_b
_a
050 _a
_a
_d
_b2
_c0
051 _c
_c
_a
_b
055 _a
_a
_b
060 _a
_a
_b
070 _a
_a
_b
072 _2
_2
_d
_a
_x
082 _a
_a
_d
_b2
_c
084 _2
_2
_a
086 _2
_2
_a
090 _a
_a
_m
_b
_q
092 _f
_f
_a
_b
096 _a
_a
_b
097 _a
_a
_b
100 _e
_e
_aPrepuse, Paul Angelo A.
_d
_b4
_u
_c0
_q16
110 _e
_e
_a
_d
_b
_n
_c
_k
111 _a
_a
_d
_b
_n
_c
130 _s
_s
_a
_p
_f
_l
_k
210 _a
_a
_b
222 _a
_a
_b
240 _s
_s
_a
_m
_g
_n
_f
_l
_o
_p
_k
245 0 _a
_aDeterminants of academics performance in mathematical analysis for biology /
_d
_b
_n
_cPrepuse, Paul Angelo A.
_h6
_p
246 _a
_a
_b
_n
_i
_f6
_p
249 _i
_i
_a
250 _6
_6
_a
_b
260 _e
_e
_a
_b
_f
_c
_g
264 _3
_3
_a
_d
_b
_c201046
300 _e
_e
_c28 cm.
_a52 pp.
_b
310 _a
_a
_b
321 _a
_a
_b
336 _b
_atext
_2rdacontent
337 _3
_30
_b
_aunmediated
_2rdamedia
338 _3
_30
_b
_avolume
_2rdacarrier
340 _2
_20
_g
_n
344 _2
_2
_a0
_b
347 _2
_2
_a0
362 _a
_a
_b
385 _m
_m
_a2
410 _t
_t
_b
_a
_v
440 _p
_p
_a
_x
_v
490 _a
_a
_x
_v
500 _a
_aUndergraduate Thesis (Bachelor of Science in Mathematics) - Pamantasan ng Lungsod ng Maynila, 2010.
_d
_b
_c56
504 _a
_a
_x
505 _a
_a
_b
_t
_g
_r
506 _a
_a5
510 _a
_a
_x
520 _b
_b
_c
_aABSTRACT: Statement of the Problem The main objective of the study is to analyze determinants of academic performance in Mathematical Analysis for Biology. Specifically, this study sought to answer the following questions. 1.) What is the academic performance of the respondents in the following subjects: a) College Algebra (Math 11) b) College Trigonometry (Math 12) c) Mathematical Analysis (Math 131) d) Grade in 4th year High school mathematics 2.) How do the cognitive determinants when taken singly relate to the academic performance in mathematical analysis? A. Cognitive Determinants a) College Algebra (Math 11) b) College Trigonometry (Math 12) c) Mathematical Analysis (Math 131) 3.) To what extent do the above mentioned variables when taken singly predict individual achievement in Mathematical Analysis? 4.) Which of the above variables is the best predictor of academic performance in Mathematical Analysis? The subjects of this study were the 60 B.S. Biology Students who were admitted since year 2006-2007 and then enrolled in Mathematical Analysis during the second semester 2008-2009 in College of Science at Pamantasan ng Lungsod ng Maynila. The school records of the biology students will serve as an instrument used in the study. The researcher undertook data collection on February 25, 2010 to get records at the College of Science with the following Mathematics Subjects such as College Algebra, College Trigonometry and Mathematical Analysis. The researcher also considered grade in High School Mathematics of biology students and this was obtained from College of the Registrar with a letter of request given on March 16, 2010. Data analysis was performed through the testing of the 3 null hypotheses. The Percentage and Means are used to give the participant's profile. Mean as a measure of central tendency and Standard Deviation were used to describe academic performances of the students in the subject covered in this study. Correlation Coefficient, Coefficient of Determination and Linear Regression Formula were used to determine how each determinant relates to predict individual achievement in Mathematical Analysis. FINDINGS From the results computations, the following were revealed: 1.a Academic performance of the BS Biology students are described by means and Standard Deviation and this are the following results in each determinants: College Algebra, 2.317 & .419, College Trigonometry, 2,206 & .510, Mathematical Analysis, 2.498 & .452, Grade in 4th year High School Mathematics, 86.385 & 4.050. The means of College Algebra, College Trigonometry, Mathematical Analysis and Grade in 4th yr. High School Mathematics were verbally interpreted as Satisfactory, Good, Satisfactory and Very Good respectively. 2.a Based on the coefficient of determinants (r2), 36.7% of the variation in the academic performance in Mathematical Analysis is explained by academic performance in College Algebra. It was found to have a high correlation and direct relationship. 2.b Based on the coefficient of determination (r2), 42.0% of the variation in the academic performance in Mathematical Analysis is explained by academic performance in College Trigonometry. It was found to have a high correlation and direct relationship. 2.c Based on the coefficient of determination (r2), 11.2% of the variation in the academic performance in Mathematical Analysis is explained by academic performance in grade in 4th yr High School Mathematics. It was found to have a substantial correlation and inverse relationship 3.a Extent of individual achievement in Mathematical Analysis for each determinant are as follows: Each determinant was considered independent variable (x) as the extent in which the individual achievement in mathematical analysis as dependent variable (y) could be predicted for every value of independent variable (x) there is a corresponding value for dependent variable (y). a. College Algebra: Y =.987+ .652x with an std. error of estimate of .362 b. College Trigonometry Y = 1.232+ .574x with an std. error of estimate of .347 c. Grade in 4th yr. High School Mathematics Y=5.715-.037x with an std. error of estimate of .429 4.a The academic performance in College Trigonometry gave the highest variation in the academic performance in Mathematical Analysis based on the value of r2, simply means that academic performance in College Trigonometry is therefore the best predictor of academic performance in Mathematical Analysis. CONCLUSION The following conclusions were drawn on the bases of the findings of this study: 1. A typical B.S. Biology student enrolled in Mathematical Analysis at Pamantasan ng Lungsod ng Maynila has a Satisfactory performance in College Algebra (Math 11), Good performance in College Trigonometry (Math 12), Satisfactory performance in Mathematical Analysis (Math 131) and Very Good Performance in 4th yr High School Mathematics. 2. Academic Performance in mathematical analysis is a highly affected by determinants such as College Algebra (Math 11) and College Trigonometry (Math 12) as indicated in the value of r2. 3. Among the determinants the best predictor based on the value of r2 is the College Trigonometry which best explains academic performance in Mathematical Analysis. RECOMMENDATIONS Based on the conclusions arrived at, the following recommendations are proposed: 1. Biology Students must be encouraged in to pursue to do well in Mathematical Analysis and other subjects. 2. Concepts and fundamentals used in Mathematical Analysis should be emphasis and integrated with other subject like College Algebra and College Trigonometry as well as in the other biology subjects. 3. Diagnostic test should be given and administered at the start of the semester to determine the weak points which were found to have a considerable effect in the academic performance in Mathematical Analysis. By this, appropriate actions will be taken place to make a remedial teaching to provide preparations for the students to meet adequate requirements of Mathematical Analysis. 4. Further investigation should be conducted along the other variables especially to the other subjects and non-cognitive determinants not covered in this study such as study habit, interest in the subject, English proficiency instructions and age.
_u
521 _a
_a
_b
533 _e
_e
_a
_d
_b
_n
_c
540 _c
_c
_a5
542 _g
_g
_f
546 _a
_a
_b
583 _5
_5
_k
_c
_a
_b
590 _a
_a
_b
600 _b
_b
_v
_t
_c2
_q
_a
_x0
_z
_d
_y
610 _b
_b
_v
_t2
_x
_a
_k0
_p
_z
_d6
_y
611 _a
_a
_d
_n2
_c0
_v
630 _x
_x
_a
_d
_p20
_v
648 _2
_2
_a
650 _x
_x
_a
_d
_b
_z
_y20
_v
651 _x
_x
_a
_y20
_v
_z
655 _0
_0
_a
_y2
_z
700 _i
_i
_t
_c
_b
_s1
_q
_f
_k40
_p
_d
_e
_a
_l
_n6
710 _b
_b
_t
_c
_e
_f
_k40
_p
_d5
_l
_n6
_a
711 _a
_a
_d
_b
_n
_t
_c
730 _s
_s
_a
_d
_n
_p
_f
_l
_k
740 _e
_e
_a
_d
_b
_n
_c6
753 _c
_c
_a
767 _t
_t
_w
770 _t
_t
_w
_x
773 _a
_a
_d
_g
_m
_t
_b
_v
_i
_p
775 _t
_t
_w
_x
776 _s
_s
_a
_d
_b
_z
_i
_t
_x
_h
_c
_w
780 _x
_x
_a
_g
_t
_w
785 _t
_t
_w
_a
_x
787 _x
_x
_d
_g
_i
_t
_w
800 _a
_a
_d
_l
_f
_t0
_q
_v
810 _a
_a
_b
_f
_t
_q
_v
830 _x
_x
_a
_p
_n
_l0
_v
942 _a
_alcc
_cBK
999 _c24952
_d24952