i
s List of Data has been shown
Mode ,Mean, Median, Histogram, Frequency polygon, Cumulative Frequency Distribution, Bar Chart & amp; Pie Chart
Students Name of B.B.A Department
|
Student ID
|
Study Hours(weekly)
|
|
Shefat E noor Khaja
Sami
|
01 |
8
|
|
S.M Sharia Mojumder
|
02 |
16
|
|
MD Shariful Islam
|
03 |
24
|
|
Romana Islam
|
04 |
18
|
|
Dilruba Aktar
|
05 |
10
|
|
Effana Binta Haque
|
06 |
5
|
|
Youna Azrin Chowdhury
|
07 |
4
|
|
Sharf Shihab Hussain
|
08 |
10
|
|
Tanjila Zaman
|
09 |
30
|
|
K.M Sadman Sakib
|
10 |
25
|
|
Asif Hasan Mahmud
|
11 |
8
|
|
MD Asfaq Hossain
|
12 |
3
|
|
Shariar Chowdhury
|
13 |
9
|
|
Asif-Ul-Kabir
|
14 |
8
|
|
Md. Yousuf Mozumder
|
15 |
12
|
|
MD Alamgir hossain
Khan
|
16 |
17
|
|
Nabid Ahmed
|
17 |
27
|
|
Sujan Chandra Sarkar
|
18 |
20
|
|
Shampa Saha
|
19 |
12
|
|
Md. Mehedi Hasan
|
20 |
21
|
|
Students Name Of
English Department
|
Student ID
|
Study Hours(weekly)
|
|
Md Shahin Uddin
|
21 |
8
|
|
Mohiyan Haque
|
22 |
10
|
|
Nigan Sultana
|
23 |
4
|
|
Nasrin Saiba Dipa
|
24 |
15
|
|
Tazma Islam
|
25 |
28
|
|
Maisha Tabassum
|
26 |
21
|
|
Asma Aktar
|
27 |
3
|
|
Rebad Ahamed
|
28 |
35
|
|
A.H.M Rezwanul Haque
|
29 |
20
|
|
Sonia Akter
|
30 |
40
|
|
Miftahul Jannat Luna
|
31 |
7
|
|
Irin Zaman
|
32 |
11
|
|
Rabeya Khatun
|
33 |
17
|
|
Afnaza Khanom Zuna
|
34 |
5
|
|
jannatul Ferdush Rasha
|
35 |
23
|
|
Jnanee Oman Khaiyam
|
36 |
9
|
|
Sorwar Uddin
|
37 |
16
|
|
Mayaniz Khanam Shimul
|
38 |
9
|
|
Kamrun Nahar Dola
|
39 |
5
|
|
ShaikaTasnim Khan
|
40 |
10
|
|
Students Name of
Economics Department
|
Student ID
|
Study Hours(weekly)
|
|
Amzad Hossain
|
41 |
8
|
|
Surid Saeed
|
42 |
15
|
|
Ashraf Ahmed
|
43 |
18
|
|
Md. Saiful Islam
|
44 |
24
|
|
Shafayet Hossain
|
45 |
7
|
|
Towhid Hasan Tamal
|
46 |
10
|
|
Md. Farhad Hossain
|
47 |
24
|
|
Mir Kamaruzzaman
|
48 |
16
|
|
Dowla Biswas
|
49 |
21
|
|
Syeda Raisa Tazneen
|
50 |
28
|
|
Tasnim Shaba Mostafa
|
51 |
30
|
|
Nourin Rahman
|
52 |
25
|
|
Tanzina Sharmin Toma
|
53 |
26
|
|
Kashfia Hossain
|
54 |
21
|
|
Ahmed Shatil
|
55 |
6
|
|
Md. Mahfuzul Hasan
|
56 |
15
|
|
Mariha Sabah
|
57 |
7
|
|
Md. Ashikuzzaman Shoshee
|
58 |
18
|
|
Md. Imran Hossain
|
59 |
20
|
|
Md. Abu Nayem Shawon
|
60 |
25
|
|
Students name of ECE
Department
|
Student ID
|
Study Hours(weekly)
|
|
Md. Forhad Shamim
|
61 |
18
|
|
Md. Talha
|
62 |
15
|
|
Nausiba Nahin
|
63 |
9
|
|
Md. Muzahedul Hoque
|
64 |
7
|
|
Md. Saidur Rahman
|
65 |
5
|
|
Hasanuzzaman Sayem
|
66 |
16
|
|
Afsana Umme Hani
|
67 |
12
|
|
Istiaq Ahmed Shovon
|
68 |
14
|
|
Sahanur Rahman Shohag
|
69 |
12
|
|
Md. Naimul Islam
|
70 |
10
|
|
Mahinul Mannan
|
71 |
24
|
|
Sajjad Hossain
|
72 |
28
|
|
Pritom Roy
|
73 |
8
|
|
Kazi Ashrafuzzaman
|
74 |
16
|
|
Inzamamul Hossain
|
75 |
20
|
|
Pappu Talukder
|
76 |
15
|
|
Saaif Mahamud
|
77 |
6
|
|
Md.Faizur Rahman
|
78 |
7
|
|
Md. Sabuj Miah
|
79 |
12
|
|
Md. Anisur Rahman
|
80 |
10
|
There are sample of 80 students weekly
study hours.
8, 16, 24, 18, 10, 5,
4, 10, 30, 25, 8, 3, 9, 8, 12, 17, 27,
20, 12, 21, 8, 10, 4, 15, 28, 21, 3, 35, 20, 32, 7, 11, 17, 5, 23, 9,
16, 9, 5, 10, 8, 15, 18, 24, 7, 10, 24, 16, 21, 28, 30, 25, 26, 21, 6, 15, 7,
18, 20, 25 ,18, 15, 9, 7, 5, 16, 12,
14, 12, 10, 24, 28 , 8, 16, 20, 15, 6,
7, 12, 10.
|
There are total number of observation is
80. So n=80
Number
of Class:
We know that No. of
class = 2k > n. So here k = 7
Class
Interval:
We know that, i ≥ H-L/k 35-3/7 = 4.57. So i = 5
Ø Organize the data into
a frequency table :
Table-1
class
interval
|
frequency
|
Relative
frequency
|
Class
midpoint
|
Cumulative
frequency
|
Upper
Limit
|
1 to 6
|
8
|
0.1
|
3.5
|
8
|
6
|
6 to 11
|
24
|
0.3
|
8.5
|
32
|
11
|
11 to 16
|
12
|
0.15
|
13.5
|
44
|
16
|
16 to 21
|
15
|
0.1875
|
18.5
|
59
|
21
|
21 to 26
|
12
|
0.15
|
23.5
|
71
|
26
|
26 to 31
|
7
|
0.0875
|
28.5
|
78
|
31
|
31 to 36
|
2
|
0.025
|
33.5
|
80
|
36
|
Fig: 01
Now we draw a histogram
from the table-1. In this diagram, the horizontal axis contains the value of
class midpoint and the vertical axis contains the value of frequency. From the above
histogram we can say that the class midpoint 8.5 contains the highest frequency
that is 24. And class midpoint 33.5 shows the lowest frequency is 2.
Fig:2
Now we draw a frequency
polygon from the table-1. In this figure, the horizontal axis contains the
value of class midpoint and the vertical axis contains the value of frequency. From
the above frequency polygon we can say that the class midpoint 8.5 shows the
highest frequency that is 24. And class midpoint 33.5 shows the lowest
frequency is 2
Fig:
3
Now we draw a
cumulative frequency distribution from the table-1. In this figure, the
horizontal axis contains the value of upper class limit and the vertical axis
contains the value of cumulative frequency. At first, the curve is dramatically
increased and then slowly increased. So we can say that the curve is increasing
curve.
Ø Calculating Mean,
Median and mode:
Mode:
Here most repeated
value is 10 in our total number of observation. So for ungroup data the mode is
10 hours per week
We draw a table for
calculating mean and median for group data.
Table – 2:
class interval
|
Frequency(f)
|
Class midpoint(x)
|
fx
|
Cumulative frequency
|
1 to 6
|
8
|
3.5
|
28
|
8
|
6 to 11
|
24
|
8.5
|
204
|
32
|
11 to 16
|
12
|
13.5
|
162
|
44
|
16 to 21
|
15
|
18.5
|
277.5
|
59
|
21 to 26
|
12
|
23.5
|
282
|
71
|
26 to 31
|
7
|
28.5
|
199.5
|
78
|
31 to 36
|
2
|
33.5
|
67
|
80
|
80
|
∑fx=1220
|
Mean
for group data:
X
= ∑fx
/n
=1220/80
=15.25
Median
for group data:
Me
Here, n=80, so 80/2 =
40, i.e in the table the median class is (6 up to 111). From the table
L=11, n=80, f=12, i=5,
CF=32
Me
= 14.33
Here, mean > median > mode,
so the distribution is positively skewed.
Here
shows weekly study hours on the basis of the departments:
Fig:
4
Now we draw a Bar
Diagram from the table-2. In this Diagram, the horizontal axis contains the
name of four departments and the vertical axis contains the value of average
study hours. Here the students of Economics department show the highest study
hours. And the other departments study hours almost same.
Here
shows weekly study hours in a bar chart on the basis of the class limit:
Fig:
5
Now we draw a Bar chart from the
table-2. In this diagram, the horizontal axis contains the value of class
interval and the vertical axis contains the value of frequency. From the above
Bar chart we can say that the class interval 6 to 11 shows the highest
frequency that is 24. And class interval 31 to 36 shows the lowest frequency is
2.
Here
shows the Bar Chart on the basis of total observation in percentage.
Fig: 6
Now we draw a Bar Diagram from
the table-2. In this Diagram, the horizontal axis contains the name of four
departments and the vertical axis contains the value of average study hours.
Here the students of Economics department show the highest study hours. And the
other departments study hours almost same.
Here
shows weekly study hours in a pie diagram on the basis of the class limit:
Fig: 7
Now we draw a Pie Chart
from the table-2. The pie chart shows the highest percentage of study hours
that is 30% in the class limit of 6 to 11.
Fig:
8
Now
we draw a Pie Chart from the table-2. Here the students of Economics department
show the highest percentage of study hours. And the other departments study
hours percentage almost same.
Thankyou
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