Factors that affect the study of students Essay

I. INTRODUCTION
We students want a high quality of education. And so the environment matter most to us especially on our study. To know what are the factors affect students performances we conduct a survey for 30 engineering students and asked them what are the factors that will make them more interested here in Rizal Technological University. Organization is one of the factors affect us as a student because this thing may help us be more active and be more responsible. The Professors who have different characters, this will also affects the performance of a student’s whether a strict professor or the cool one is more effective in getting students interest to listen. The tools and equipments do also matters because this will make their study way easier and way better. Well though, there are some schools that have a good quality of education yet the performances of their students are still unimpressive. They must have a reason why, but this study aims to know whether thing really matters to performance of the students here in RTU. That mean, the better quality of education that school can offer the better grade students can have in return. Further to that, the group will analyze the performance of a school having a good quality education than those who don’t.

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II. STATEMENT OF THE PROBLEMS

1. Does the tools and equipment in school have an effect on the performance of the students? 2. Is there some difference in the performance of the students between high quality educations than the performance of the students from lower quality education? 3. Is there any difference in the performance of those who join in the organizations than those who don’t? 4. Do those who have qualified professors have a bigger chance to get a good performance of the students in return than those who don’t? 5. Do students be found that having all those factors have an effect on the studies of the Engineering students in the RTU?

III. METHOD
A. Procedure

Proposal was presented and passed to the professor for approval and recommendations. The group thought this idea to consider what things affect the learning of students, its relation to the class and to understand we both student The topic was approved but suggested to change the title and ask what else can be consider further to that topic. We asked our co-groups suggestions about the other things that are related to our topic. For instance, we thought a more appropriate title. And some questions are been revised. We gathered data by means of surveying from 30 engineering students here in RTU. After we gathered all the data, we tally all the results.

The data has been reviewed and finalized.
A PowerPoint presentation has been created as for our last presentation.

III. METHODS.

III.A PROCEDURE

Proposal was presented and passed to the professor for approval and recommendations. The group thought this idea to consider what things affect the learning of students, its relation to the class and to understand we both student The topic was approved but suggested to change the title and ask what else can be consider further to that topic. We asked our co-groups suggestions about the other things that are related to our topic. For instance, we thought a more appropriate title. And some questions are been revised. We gathered data by means of surveying from 30 engineering students here in RTU. After we gathered all the data, we tally all the results.

The data has been reviewed and finalized.
A PowerPoint presentation has been created as for our last presentation. III.B INSTRUMENT

See figure below

III.C STATISTICAL ANALYSIS

FDT OF AGE

161717181819
161717181819
161717181820
161718181821
171718181921

R=hs-lw
R= 21-16
R=5
Class interval
F
CM
CB
CF
RF
RF
Fixi
16-16
4
16
15.5-16.5
4
30
13.33
13.33
100
64
17-17
9
17
16.5-17.5
13
26
30.00
43.33
86.67
153
18-18
11
18
17.5-18.5
24
17
36.67
80
56.67
198
19-19
3
19
18.5-19.5
27
6
10
90
20
57
20-20
1
20
19.5-20.5
28
3
3.33
93.33
10
20
21-21
2
21
20.5-21.5
30
2
6.67
100
6.67
42
N=30 RF=100

Places
Tally
Stem
Leaf
4096

????
1
6,6,6,6,7,7,7,7,7,7,7,7,7,8,8,8,8,8,8,8,8,8,8,8,9,9,9
23409

????? ????

39204

????? ????? ?
2
0,1,1
3249

???

400

?

1764

??

Mean =
= 534/30
=17.8
The mean average is 17.8 or 18 yrs. Old.

Median
Mdc= =x30/2 =x15
Mdg=17.5+
= 17.68
The middle age of the IE students is 18 years old.

Mode
M0c=18
MOg=17.5 +
=17.62
The most frequent aged of IE students is 18 years old.

(f|x-|)
7.2
7.2
2.2
3.6
2.2
6.4

S2
=28.8/30
=0.96
? = /n-1
? =
? = 0.99

Using Pearson’s Rho

Student
Age
(x)
Attitude
(y)

1
18
24
324
256
432
2
18
40
324
1600
720
3
18
11
324
121
198
4
17
14
289
196
238
5
18
16
324
256
288
6
16
24
256
576
284
7
17
5
289
25
85
8
20
14
400
196
280
9
21
42
441
1764
882
10
17
9
289
81
153
11
16
19
256
361
304
12
18
13
324
169
234
13
17
13
289
169
221
14
16
25
256
625
400
15
17
33
289
1089
561
16
17
14
289
196
238
17
17
29
289
841
493
18
17
26
289
676
442
19
16
18
256
324
288
20
18
27
324
729
486
21
18
4
324
16
72
22
18
42
324
1764
756
23
18
11
324
121
198
24
19
14
361
196
266
25
18
18
324
324
324
26
21
-13
441
169
-237
27
19
-1
361
1
-19
28
18
33
324
1089
594
29
19
4
361
16
76
30
17
39
289
1521
663

?x=534
?y=567
?=
9554
?=
15467
?xy=
9920

Computation
r = n?xy-(?x)(?y)

r = 30(9920)-(534)(567)

r = -0.36

T-TEST FOR GENDER AND ATTITUDE
MALE (X1)
FEMALE (X2)
13
24
-13
14
25
16
33
24
14
5
29
14
26
42
18
9
27
19
4

42

11

14

18

-13

-1

-33

4

36
N=9
N=19
1 =320
2 = 9810
X1 = 1 / N
=35.56
I. Ho =µ1 ? µ0 , µ1? µ0

II. Ha= µ1;µ0 , µ1 ; µ0 , µ0

III. ?= 0.05
Df= n-1
=30-1
=29

IV. Critical region
t ?= 1.699

V. Calculation
t=1.62

VI. Conclusion

With the T calculated not exceeding the t alpha of 1.699 w/ the alpha of 0.05, a DF of 29, the null hypothesis is accepted and the alternative hypothesis is rejected.

We can conclude that male IE students believe more that these factors will help them to get more interested in class than the female.

ANOVA

I
II
III
IV
24
11
29
14
5
14
40
14
19
16
42
-13
13
9
27
-1
35
13
4
4
33
18
42

13

4

29

11

26

33

18

39

N=11
N=6
N=9
N=5

Source of variation
Source square
Dfb
Mean square
Fcalc
Fx
Between groups
Ssb=1596.34
Dfb= 3
Msb=532.11
Fcalc= 3.80
Fx=2.975
Within groups
Ssw=3637.16
Dfw= 26
Msw= 139.89

Total
5233.5
Dft= 39

Computation

Ssb =

=(+++=1596.34

Sst= =16641-=5233.5

Ssw = Sst-Ssb
=b233.5-1596.34
=3637.16

CALCULATION OF ANOVA

I Ho: ?1=?2=?3

II Ha: ?1??2??3

III dft = n-1= 30-1 = 29
dfb = k-1 = 4-1= 3
Dfw = n-k = 30-4 = 26

IV Crit. Region
Fx=2.9752

V calc msb = ssb/dfb =1596.34/3 = 532.11
Msw = ssw/dfw = 3637.16/26 = 139.89
F= msb/msw = 532.11/139.89 = 3.80

VI
Conclusion
With the fcalc of 3.80 not exceeding with f alpha of 2.9752 with the alpha of 0.05 with a df of 26 the alternative hypothesis is accepted and the null hypothesis is rejected.

Presentation, Interpretation and Analysis of Data

Based on Year Level

We conclude that those who are in higher level IE students have poor attitude or don’t intend to care about these factors.

Based on Age

We found out that the older the student the lower their attitude is. Meaning the IE students aged 19 and above don’t care on value much the importance of this factors to their studies because what matters most to them is to focus in their major subject. While the IE students ages 18 and above intend to care more in these factors for the reason that they believe that having modern equipment, quality professors and joining organizations will help them to be interested more in their studies.

Based on Gender

We conclude that most of the male students consider all these factors than female in resolve most of the male encountering boring professor, poor equipment, and not joining organizations chooses to cut their class and hang out with their friends rather than going to school.

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