Studying Methodology Workshop For Fmt Students: Ust Group

UST GROUP

Studying Methodology Workshop for FMT students Class:

Tut4-FB08

Instructor:

Chu Duc Nghia

Group members:

Nguyen Hong Ngan Le Thi Quynh Trang Do Huy Nam Nguyen Thi Linh Thai Ba Dong Nguyen Manh Hieu

Outline Introduction Research Methodology

USTA GROUP

Results and Findings Data Analysis Evaluation

Recommendation and Conclusion

Introduction

USTA GROUP

s that give you more ways to present your words, images and media.

Research Methodology

Research Methodology • Sampling method and data collection Sampling method: Random sampling method using Excel

Data collection: Distribute and collect questionnaires

Research Methodology • Data processing • Formulas:

p ∗ (1 − p) σ∧ = p n • Significance level: • • •

x p= n ∧

α = 0.05

∧

z =

p −p0

σp

0

Results and Findings



Difficulties studying at FMT

Results and Findings

g ta n rc e P

Sources for study other than textbook 45 40 35 30 25 20 15 10 5 0

40

40

10 5

None

Library

Newspaper

5

Internet

Other

Time



Sources for study apart from textbooks

Results and Findings S elf-study time per day 47.5

50 40 30

27.5

20

15 10

l o /T tag ercn P

10 0 1 ho ur

2 - 3 ho urs

4 - 5 ho urs

> 5 ho ur

Tim e



Self-study time per day

Results and Findings



Revision before exam

Results and Findings Answer

No. of tudents

Yes No Total

11 29 40



Plan for studying

Results and Findings Answer

No. of students

Yes

8

No

32

Total

40



Confident with study management

Results and Findings



Skills students want to be taught

Data analysis • Orientation The facts about students study management The possibility of participating in workshops opened

Data analysis • Essential numerical data measures µ pˆ = p = 0.5

Mean: 

Standard deviation: 

σ pˆ =

p ∗ (1 − p ) 0.5 ∗ 0.5 = = 0.079 n 40



Sample proportion

pˆ =

x 26 = = 0.65 n 40

Data analysis • Assumptions Required assumptions The experiment is binomial The sample proportion is approximately normally distributed

Data Analysis • Assumption checking The experiment is binomial because + Identical trials + Two possible outcomes: P(yes)=P(no)=50% + Sample size is sufficiently large: np>=5, nq>=5

Data analysis • Procedure of hypothesis testing

 

Step 1: The null and alternative hypothesis Ho: p = 0.5 Ha: p >0.5 Step 2: Test statistic

z =

ˆ − p0 p

σpˆ

Data analysis • Procedure of hypothesis testing 

Step 3: Level of significance:  

Critical value:

α = 0.05 = 5%

zα = z 0.05 = 1.645



Step 4: Decision rule: Reject H0 if

z > zα = 1.645

Data analysis • Procedure of hypothesis testing Step 5: Value of test statistic 

pˆ − p0 0.65 − 0.5 z= = = 1.90 σ pˆ 0.079

Step 6: Decision and Conclusion As z = 1.90 > 1.645, we reject H0 at 5% level of significance 

Conclusion

Conclusion for Test Hypothesis Rejection Region Non-rejection Region

α = 0.05

1.645 1.90

Evaluation • Limitations

• Confusing questions: “Do you often do studying planning for each subject in semester?” • Unclear questions: “Do you think your studying methodology is effective and scientific?” • Information about the time to open workshops

Implication • Decide whether to open workshops • Find out difficulties of students • Help students to study well.

Conclusion • Difficulties of students studying at FMT • Not-good habits of students • The importance of workshops

Recomendation • Open workshops • Take measures to make improvements



Q & A





Thanks For Your Attention