Final Project STA416 - Going through inline classes during mco PDF

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INTRODUCTION OF STATISTICSSTALECTURER NAME:SIR MOHAMMAD NASIR BIN ABDULLAHTITLEGOING THROUGH ONLINE CLASSES DURING MCOGROUP A4CS2302AGROUP MEMBER:NAME STUDENT ID 1 AZLAN BIN JAMIL 2020476818 2. NUR AMIRA BINTI SOLEH 2020847416 3 SYAKIRAH BINTI ROSLAN 20208469244 SYAMIMI NADIA BINTI MOHD NASZERI 2020...

Description

INTRODUCTION OF STATISTICS STA416

LECTURER NAME: SIR MOHAMMAD NASIR BIN ABDULLAH

TITLE GOING THROUGH ONLINE CLASSES DURING MCO

GROUP A4CS2302A

GROUP MEMBER: NAME

STUDENT ID

1.MOHAMAD AZLAN BIN JAMIL

2020476818

2. NUR AMIRA BINTI SOLEH

2020847416

3.HANIS SYAKIRAH BINTI ROSLAN

2020846924

4.NURAIN SYAMIMI NADIA BINTI MOHD NASZERI

2020615326

5.MOHAMMAD IZHMIN HAIQHAL BIN YAHYA

2020602508

TABLE OF CONTENT INTRODUCTION…………………………………………………………………………....3 DEFINE POPULATION.…………………………………………………………………....3 DEFINE VARIABLE.…………………………………………………………………….....4 DATA COLLECTION………………………………………………………………………5 STUDY DESIGN…………………………………………………………………………......6 RESULTS: DESCRIPTIVE STATISTICAL………………………………………………7 RESULTS: STATISTICAL ANALYSIS……………………………………………......7-12 FINDINGS …………………………………………………………………………………..13 DISCUSSIONS ……………………………………………………………………………...14

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1.0 INTRODUCTION

Since we are in pandemic covid-19, so many students were affected by it so they have to go through Open and Distance Learning (ODL). As a student, each of them has perspective about this type of learning because it is very different from usual which is we go to the class and learning face to face with the lecturer but this time students need to use google meet or zoom meeting to do the study. Every student has their own preferred idea and way how to go through ODL. Most of the student have their own study style and how they handle their time through ODL. This study only focuses on students from A-Level to Degree level. Each of the students have a different semester when they started the ODL. Different level of students must have different perspective and we want to study how they going through this ODL in term of hour study, study style. Device for online class.

2.0 DEFINE POPULATION

The target population for this project is 51 students. Based on the respondents from the google form survey with different education level from A-Level to Degree. the age from the respondents is from 17 to 28 years old. Most of the respondents is a female. Then, most of the respondent is a degree students and 20 to 23 years old. Bachelor’s degree students are the most respondents which is 70.6% followed by diploma students which is 17.6% then Matriculation and Asasi 7.8% and the last one is A-Level which is 3.9%.

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3.0 DEFINE VARIABLE

A few variable and information was asked and recorded based on the google form survey. There are two types of variables used in this project which is qualitative and quantitative.

For quantitative, the variables are age and study hour.

1) Student’s age There are 4 possible values for this variable which is 17 to 19 years old,20 to 22 years old ,23 to 25 years old and 26-28 years old. This variable is chosen by their age in 2021. 2) Study hour We use hour to measure this variable. There are 4 possible values for this variable such as 1 to 3 hours, 4 to 6 hours, 7 to 8 hours and 10 to 12 hours. This variable is chosen by how long they study per day.

For qualitative, there are five variables that exists in the google form survey.

1. Education level For this variable, it is the student’s education level. The possible values for this variable are A-Level, Matriculation/Asasi, Diploma and Degree. From this variable, we can know most of the students that go through the ODL from what education level. 2. Gender For this variable, it is student’s gender whether they are male or female. 3. Semester For this variable, it asked the student which semester that they started the ODL. It is important to know because we can know how many students that still do not have a chance to study face to face at the campus when they started their education. 4. Study style For this variable, it is how the student like to study whether they like to study in individual means they study alone without discussing with their friend or they like to study in a group and do the discussion together in term of doing the exercise given by the lecturer.

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5. Device For this variable, it asked the respondents what is their main device that they use in ODL. Wo we can know how many students that only use their mobile phone to go through the ODL and maybe we can know how many students that cannot afford a laptop and mobile phone to do the online class.

4.0 DATA COLLECTION Before we created a set of questionnaires, we discussed among the group members about a relevant topic to be used in this assignment. Since we are now in pandemic Covid-19 and currently undergo our studies through ODL or Online Distance Learning, we decided to choose ‘Going Through Online Classes During MCO’ as our topic and choose several relevant questions to be asked in the questionnaire. We use Google Form as our platform to collect data since it is more convenience and easier to be used. Our targeted respondents for the questionnaire are students aged from 17 to 28 years old who currently pursuing their studies in any

universities.

After we have created the Google Form, every member of our group distributed the questionnaire via WhatsApp and Telegram to all our acquaintances until we reach our targeted number of respondents which is 51 people. For this project, we decided to use non-random sampling technique which is the convenience sampling technique. This sampling technique is a sample in which the individuals are easily obtained and the sampling unit selected is not based on random methods. We chose this sampling technique because it is cheap, time efficient, convenient and simple to implement. Thus, we managed to get the data on time and efficiently without taking too much time. In order to avoid bias in the questionnaire, every member of the group will distribute the Google Form among our acquaintances from multiples age group so that we managed to matched our targeted population which are students from 17 to 28 years old.

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5.0 STUDY DESIGN There are two variables that are categorized as quantitative data which are Age and Hours Spent on Studying. These 2 variables were continuous variables because the data values can be measured. Both variables are classified as ratio measurement level because the intervals are quantitively meaningful. For these variables, we are using histogram to represent the data to see the different frequencies of each class. The horizontal axis will represent the variable while the vertical axis will represent the number or the frequency.

For qualitative variables, there are Gender, Education Level, Semester, Study Style Preferences and Device used for Online Class. From all these variables, the variables that can be classify as nominal measurement level are Gender, Semester, Study Style Preferences and Device used for Online Class because all these variables have no ranking. This type of measurement level generally used for the purpose of classification only. So, for these variables we used bar chart and pie chart to analyses the data to see the comparison between the frequency or percentage of each category more accurate. For Education Level, it is classified as ordinal measurement since the data can be arranged based on the rank but the differences between the rank are meaningless or cannot be determined. It classifies the data in categories that can be ranked. For this variable, we are using bar chart to show the data based on the categories.

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6.0 RESULTS: DESCRIPTIVE STATISTICS Measures of Central Tendency MEAN MEDIAN MINIMUM MAXIMUM (MODE) VARIANCE STANDARD DEVIATION

Age 21.22 21.03 17 28 (20.98) 2.45 1.57

Hour Spend for Studying (hrs) 3.94 3.8 1 12 (3.73) 36.30 6.025

7.0 RESULTS: STATISTICAL ANALYSIS Gender Male Female

Frequency 15 36

Percentage 29.4% 70.6%

Education level A-level Matriculation Diploma Degree

2 4 9 36

3.9% 7.8% 17.6% 70.76%

Which semester did you start the online class? Sem 1 Sem 2 Sem 3 Sem 4 Sem 5 Sem 6

23 14 8 2 1 3

45.1% 27.5% 15.7% 3.9% 2% 5.9%

Which one do you prefer? Individual study Study group

26 24

51% 49%

5 3 41 2

9.8% 5.9% 80.4% 3.9%

What device did you use for online class? Mobile Phone Tablet Laptop Pc Table 1 Frequency Distribution Table of Qualitative Data

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GENDER Male

Female

29%

71%

Figure 1 Percentage of Gender.

Education level Number of Students

40

36

35 30 25 20 15

9

10 5

4 2

0 A-level

Matriculation

Diploma

Degree

Education level

Figure 2 Frequency of the Education level

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The Semester that Students Start the Online Class 25

23

20 14

15 10

8

5

3

2

1

0 Sem 1

Sem 2

Sem 3

Sem4

Sem 5

Sem 6

The Semester that responden start the online class

Figure 3 Frequency of the Semester that Students Start the Online Class

The Learning Style Preferred by Students

Group 49%

Individual 51%

Individual

Group

Figure 4 Percentage of The Learning Style Preferred by Students

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The Device that Students Use for Online Class 45

41

40

Number of Students

35 30 25 20

15 10 5 5

4.5

3

0 Mobile Phone

Tablet

Laptop

PC

The Device that Students Use for Online Class

Figure 5 Frequency of The Device that Students Use for Online Class

Age 17 – 19 years 20 – 22 years 23 – 25 years 26 – 28 years How long do you study every day? 1 – 3 hours 4 – 6 hours 7 – 9 hours 10 – 12 hours Table 2 Frequency Distribution Table of Quantitative Data

Frequency 2 46 1 2

Percentage 3.9% 90.2% 2% 3.9%

23 25 2 2

45.1% 49% 3.9% 4%

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The graph shows that median we get is 21.03, mean calculated is 21.20, the minimum value is 17 and maximum value is 28. Variance for this graph is 2.45 and standard deviation is 1.57. The skewness is 0.3248 which positively skewed, so the shape of data distribution is skewed to the right. This show most of student age is around 20 to 22 years.

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Based on the graph above we calculate that median is 3.8, mean equals to 3.94, the maximum value is 12 and the minimum value is 1. The graph has a variance of 36.3 and standard deviation is 6.025. The value of skewness for the graph is 0.0697 which is positively skewed, so the shape of data distribution is skewed to the right. Based on the graph, most of the students only study around 4 to 6 hours.

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8.0 FINDINGS Based on table 1, most respondents are females (70.9%) which means a total of 36 and the rest of the respondents are 15 males (29.4%) that participated in this survey. According to figure 2, we asked our respondents what is their current education level that are studying right now. 36 of the respondents which means the highest frequency are from degree education level, the frequency of 9 are respondents that are studying in diploma, 4 respondents are from matriculation and 2 from A-level which means the lowest frequency. Depend on Figure 3, most respondents started the online class in semester 1 with the frequency of 23. 14(27.5%) respondents started online class at semester 2. 8respondents started online class at semester 3. 2 respondents started online class at semester 4. 1 respondent started online class at semester 5. 3 respondents started online class at semester 6. In Figure 4, most of the respondents prefer to have individual study with frequency of 26(51%) and the rest of the respondents prefer study groups with frequency of 24(49%). Next, the device that the respondents choose to use for online class, Laptop is the highest chosen by the respondents with the frequency of 41 and a percentage of (80.4%). A frequency of 5(9.8%) choose mobile phone as the device for online class. The frequency of 3 (5.9%) choose tablet for online class and 2(3.9%) using computer as the device for online class. Based on the graph age of students, the mean for the graph is 21.20, the minimum values are 17 while the maximum values are 28. Variance for the graph is 2.45 and standard deviation 1.57. Based on the graph the times for students to study every day, means is 3.94 while the median is 3.8. The maximum value is 12 and the minimum value is 1. The graph obtained variance of 36.3 and standard deviation of 6.025.

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9.0 DISCUSSIONS The results shows that majority of the respondents were having a 4 to 6 hours of sleep daily which means most of the respondents can have bad sleeping behaviour that can affect their health. There were no problem interpreting these data since the data were all logical and possible to calculate. The ratio of female and male are higher which means we received more female respondents than male respondents. The data we obtained are logic to be used because the data is related to the respondent’s status and behaviour. We surely did this statistical report with a clear answer and interpretation and for that, we successfully completed our objectives.

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