JOURNAL 2 3 JOURNAL 2 Abdullatif Alnaser 3/23/2020 Step One: Summarizing Based on the novel “Romeo and Juliet” by William Shakespeare: Exposition in the drama presents characters where the scene begins with a feud from two families the Capulets and the Montagues. Romeo is Montagues son who seeks to attend a party in disguise at the Capulet family where Juliet is supposed to marry Paris. Rising action: Here the plot of scene is the heated fight Mercuito and Tybalt who kills him and later Romeo killed Tybalt. Romeo makes issues more complex and Romeo is banished, (NOURANI, 2019). The climax in the drama is short where Juliet is urging Romeo to flee but Romeo says goodbye. Step Two: Responding Personally, I believe that the scenes that happened in the rising action because most of the drama from the two families is experienced a great deal. The climax is not in the middle of the story rather it’s experienced at the end of the plot where Romeo buys poison to kill himself because Juliet was dead after finding the truth from his servant. The final death scene is where the climax lies because the characters are separated by death. Step Three: Analysing The main problem facing the main character in the “Romeo and Juliet” the two main characters are Romeo and Juliet who comes from families that hate each other and the main problem they face is conflict. The Capulets and the Montagues have family feuds that lead to the deaths of their children, (William, 2017). The love between the two characters is forbidden which creates matters worst between the two families. The symbols used by Shakespeare in the play include poison which symbolizes the feud that existed between the two families and the love between Romeo and Juliet was a poison that led to the death of Mercuito and Tybalt. Apothecary sells poison which symbolizes that the society drives people commit suicides because the world is unbearable. Light and Darkness is another symbol in the novel where characters like Romeo, Juliet and Mercuito have good qualities of goodness which is displayed in broad daylight while characters like Lord Capulet and Paris are evil in the dark. Their relationship flourished at night and at the tomb Romeo uses darkness and light as Juliet acts as light in the darkness of the tomb through her beauty. The main themes embedded in the play includes individual vs. society: Romeo and Juliet struggle with their love against the family customs leading to family feuds. They were in love with each other and against their families. They wanted to break the society norms and customs to be together. Death is also a major theme throughout the scenes where Mercuito and Tybalt die in fights instigated by conflict. The two lovers also end up dead and bring the conflict because the untimely events act a resolution to the two families. Love between Romeo and Juliet is so authentic and they are passionate for one another despite the social constraints they ex ...

1. JOURNAL 2 3
JOURNAL 2
Abdullatif Alnaser
3/23/2020
Step One: Summarizing
Based on the novel “Romeo and Juliet” by William
Shakespeare: Exposition in the drama presents characters where
the scene begins with a feud from two families the Capulets and
the Montagues. Romeo is Montagues son who seeks to attend a
party in disguise at the Capulet family where Juliet is supposed
to marry Paris. Rising action: Here the plot of scene is the
heated fight Mercuito and Tybalt who kills him and later Romeo

2. killed Tybalt. Romeo makes issues more complex and Romeo is
banished, (NOURANI, 2019). The climax in the drama is short
where Juliet is urging Romeo to flee but Romeo says goodbye.
Step Two: Responding
Personally, I believe that the scenes that happened in the rising
action because most of the drama from the two families is
experienced a great deal. The climax is not in the middle of the
story rather it’s experienced at the end of the plot where Romeo
buys poison to kill himself because Juliet was dead after finding
the truth from his servant. The final death scene is where the
climax lies because the characters are separated by death.
Step Three: Analysing
The main problem facing the main character in the “Romeo and
Juliet” the two main characters are Romeo and Juliet who comes
from families that hate each other and the main problem they
face is conflict. The Capulets and the Montagues have family
feuds that lead to the deaths of their children, (William,
2017). The love between the two characters is forbidden which
creates matters worst between the two families.
The symbols used by Shakespeare in the play include poison
which symbolizes the feud that existed between the two families
and the love between Romeo and Juliet was a poison that led to
the death of Mercuito and Tybalt. Apothecary sells poison
which symbolizes that the society drives people commit suicides
because the world is unbearable. Light and Darkness is another
symbol in the novel where characters like Romeo, Juliet and
Mercuito have good qualities of goodness which is displayed in
broad daylight while characters like Lord Capulet and Paris are
evil in the dark. Their relationship flourished at night and at the
tomb Romeo uses darkness and light as Juliet acts as light in the
darkness of the tomb through her beauty.
The main themes embedded in the play includes individual vs.
society: Romeo and Juliet struggle with their love against the
family customs leading to family feuds. They were in love with
each other and against their families. They wanted to break the
society norms and customs to be together. Death is also a major

3. theme throughout the scenes where Mercuito and Tybalt die in
fights instigated by conflict. The two lovers also end up dead
and bring the conflict because the untimely events act a
resolution to the two families. Love between Romeo and Juliet
is so authentic and they are passionate for one another despite
the social constraints they experienced. Patriarchy is
demonstrated by the Lord Capulet and Lord Montagues where
they encourage their wives and families to participate in the
conflict. Their views are not important and Juliet has no right to
choose a spouse Lord Capulet selects Paris as his daughter’s
husband, (William, 2017)It was a society where women had no
say.
References
NOURANI, M. (2019). A Study of Tragedy in Tchaikovsky’s
Romeo and Juliet, Overture-Fantasia Based on Freytag’s
Pyramid.
William, S. (2017). Romeo and Juliet. Strelbytskyy Multimedia.
From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included - no filtering
Freq
Col %
Age Group

4. < 20
309
20.6%
20-29
189
12.6%
30-39
176
11.7%
40-64
390
26.0%
65+
436
29.1%
Gender
Male
769
51.3%
Female
731
48.7%
From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included - no filtering
Freq

5. Col %
Age Group
< 20
309
20.6%
20-29
189
12.6%
30-39
176
11.7%
40-64
390
26.0%
65+
436
29.1%
Gender
Male
769
51.3%
Female
731
48.7%
From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included - no filtering

6. Freq
Col %
Age Group
< 20
309
20.6%
20-29
189
12.6%
30-39
176
11.7%
40-64
390
26.0%
65+
436
29.1%
Gender
Male
769
51.3%
Female
731
48.7%
From sofa_db.demo_tbl on 03/06/2018 at 03:41 PM
All data in table included - no filtering

7. Country
Japan
Italy
Germany
TOTAL
Freq
Col %
Freq
Col %
Freq
Col %
Freq
Col %
Age Group
< 20
63
13.5%
141
27.8%
105
19.9%
309
20.6%
20-29
66
14.2%
54
10.7%
69
13.1%

8. 189
12.6%
30-39
63
13.5%
53
10.5%
60
11.4%
176
11.7%
40-64
116
24.9%
135
26.6%
139
26.4%
390
26.0%
65+
158
33.9%
124
24.5%
154
29.2%
436
29.1%
From sofa_db.demo_tbl on 03/06/2018 at 03:44 PM
All data in table included - no filtering

9. Results of Pearson's Chi Square Test of Association Between
"Age Group" and "Country"
p value: < 0.001 (1.359e-5) 1
Pearson's Chi Square statistic: 36.606
Degrees of Freedom (df): 8
Country
Japan
Italy
Germany
TOTAL
Obs
Exp
Obs
Exp
Obs
Exp
Obs
Exp
Age Group
< 20
63
96.0
141
104.4
105
108.6
309
309.0
20-29
66
58.7
54

10. 63.9
69
66.4
189
189.0
30-39
63
54.7
53
59.5
60
61.8
176
176.0
40-64
116
121.2
135
131.8
139
137.0
390
390.0
65+
158
135.5
124
147.4
154
153.2
436
436.0

11. TOTAL
466
466.0
507
507.0
527
527.0
1500
1500.0
Minimum expected cell count: 54.677
% cells with expected count < 5: 0.0
1 If p is small, e.g. less than 0.01, or 0.001, you can assume the
result is statistically significant i.e. there is a relationship.
Note: a statistically significant difference may not necessarily
be of any practical significance.
Interpreting the Proportions chart - look at the "All combined"
category - the more different the other Age Group categories
look from this the more likely the Chi Square test will detect a
difference. Within each Age Group category the Country values
add up to 1 i.e. 100%. This is not the same way of displaying
data as a clustered bar chart although the similarity can be
confusing.
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:18 PM
All data in table included - no filtering
Freq
Col %
Age
21.0
20

12. 20.0%
22.0
18
18.0%
23.0
18
18.0%
24.0
14
14.0%
25.0
14
14.0%
26.0
6
6.0%
27.0
2
2.0%
28.0
2
2.0%
29.0
2
2.0%
30.0
4

13. 4.0%
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:19 PM
All data in table included - no filtering
Freq
Col %
Age
21.0
20
20.0%
22.0
18
18.0%
23.0
18
18.0%
24.0
14
14.0%
25.0
14
14.0%
26.0
6
6.0%

14. 27.0
2
2.0%
28.0
2
2.0%
29.0
2
2.0%
30.0
4
4.0%
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:19 PM
All data in table included - no filtering
Freq
Col %
Age
21.0
20
20.0%
22.0
18
18.0%
23.0
18

15. 18.0%
24.0
14
14.0%
25.0
14
14.0%
26.0
6
6.0%
27.0
2
2.0%
28.0
2
2.0%
29.0
2
2.0%
30.0
4
4.0%
From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included - no filtering

16. Freq
Col %
Age Group
< 20
309
20.6%
20-29
189
12.6%
30-39
176
11.7%
40-64
390
26.0%
65+
436
29.1%
Gender
Male
769
51.3%
Female
731
48.7%
From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM

17. All data in table included - no filtering
Freq
Col %
Age Group
< 20
309
20.6%
20-29
189
12.6%
30-39
176
11.7%
40-64
390
26.0%
65+
436
29.1%
Gender
Male
769
51.3%
Female
731
48.7%

18. From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included - no filtering
Freq
Col %
Age Group
< 20
309
20.6%
20-29
189
12.6%
30-39
176
11.7%
40-64
390
26.0%
65+
436
29.1%
Gender
Male
769
51.3%
Female
731

19. 48.7%
From sofa_db.demo_tbl on 03/06/2018 at 03:41 PM
All data in table included - no filtering
Country
Japan
Italy
Germany
TOTAL
Freq
Col %
Freq
Col %
Freq
Col %
Freq
Col %
Age Group
< 20
63
13.5%
141
27.8%
105
19.9%
309
20.6%
20-29

20. 66
14.2%
54
10.7%
69
13.1%
189
12.6%
30-39
63
13.5%
53
10.5%
60
11.4%
176
11.7%
40-64
116
24.9%
135
26.6%
139
26.4%
390
26.0%
65+
158
33.9%
124
24.5%
154
29.2%

21. 436
29.1%
From sofa_db.demo_tbl on 03/06/2018 at 03:44 PM
All data in table included - no filtering
Results of Pearson's Chi Square Test of Association Between
"Age Group" and "Country"
p value: < 0.001 (1.359e-5) 1
Pearson's Chi Square statistic: 36.606
Degrees of Freedom (df): 8
Country
Japan
Italy
Germany
TOTAL
Obs
Exp
Obs
Exp
Obs
Exp
Obs
Exp
Age Group
< 20
63
96.0
141
104.4
105
108.6
309

22. 309.0
20-29
66
58.7
54
63.9
69
66.4
189
189.0
30-39
63
54.7
53
59.5
60
61.8
176
176.0
40-64
116
121.2
135
131.8
139
137.0
390
390.0
65+
158
135.5
124

23. 147.4
154
153.2
436
436.0
TOTAL
466
466.0
507
507.0
527
527.0
1500
1500.0
Minimum expected cell count: 54.677
% cells with expected count < 5: 0.0
1 If p is small, e.g. less than 0.01, or 0.001, you can assume the
result is statistically significant i.e. there is a relationship.
Note: a statistically significant difference may not necessarily
be of any practical significance.
Interpreting the Proportions chart - look at the "All combined"
category - the more different the other Age Group categories
look from this the more likely the Chi Square test will detect a
difference. Within each Age Group category the Country values
add up to 1 i.e. 100%. This is not the same way of displaying
data as a clustered bar chart although the similarity can be
confusing.
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:18 PM
All data in table included - no filtering

24. Freq
Col %
Age
21.0
20
20.0%
22.0
18
18.0%
23.0
18
18.0%
24.0
14
14.0%
25.0
14
14.0%
26.0
6
6.0%
27.0
2
2.0%
28.0
2
2.0%

25. 29.0
2
2.0%
30.0
4
4.0%
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:19 PM
All data in table included - no filtering
Freq
Col %
Age
21.0
20
20.0%
22.0
18
18.0%
23.0
18
18.0%
24.0
14
14.0%
25.0
14

26. 14.0%
26.0
6
6.0%
27.0
2
2.0%
28.0
2
2.0%
29.0
2
2.0%
30.0
4
4.0%
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:19 PM
All data in table included - no filtering
Freq
Col %
Age
21.0
20
20.0%

27. 22.0
18
18.0%
23.0
18
18.0%
24.0
14
14.0%
25.0
14
14.0%
26.0
6
6.0%
27.0
2
2.0%
28.0
2
2.0%
29.0
2
2.0%
30.0
4
4.0%

28. From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:24 PM
All data in table included - no filtering
Racethn
1.0
2.0
3.0
Freq
Col %
Freq
Col %
Freq
Col %
Age
21.0
6
30.0%
10
21.7%
4
11.8%
22.0
2
10.0%
8
17.4%
8
23.5%

29. 23.0
4
20.0%
6
13.0%
8
23.5%
24.0
0
0.0%
10
21.7%
4
11.8%
25.0
2
10.0%
4
8.7%
8
23.5%
26.0
2
10.0%
4
8.7%
0
0.0%
27.0
0
0.0%
2

30. 4.3%
0
0.0%
28.0
2
10.0%
0
0.0%
0
0.0%
29.0
0
0.0%
2
4.3%
0
0.0%
30.0
2
10.0%
0
0.0%
2
5.9%
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:30 PM
All data in table included - no filtering
Results of Pearson's Chi Square Test of Association Between
"Age" and "Racethn"
p value: 0.01772 1
Pearson's Chi Square statistic: 32.785
Degrees of Freedom (df): 18

31. Racethn
1.0
2.0
3.0
TOTAL
Obs
Exp
Obs
Exp
Obs
Exp
Obs
Exp
Age
21.0
6
4.0
10
9.2
4
6.8
20
20.0
22.0
2
3.6
8
8.3
8
6.1
18
18.0

32. 23.0
4
3.6
6
8.3
8
6.1
18
18.0
24.0
0
2.8
10
6.4
4
4.8
14
14.0
25.0
2
2.8
4
6.4
8
4.8
14
14.0
26.0
2
1.2
4
2.8

33. 0
2.0
6
6.0
27.0
0
0.4
2
0.9
0
0.7
2
2.0
28.0
2
0.4
0
0.9
0
0.7
2
2.0
29.0
0
0.4
2
0.9
0
0.7
2
2.0
30.0

34. 2
0.8
0
1.8
2
1.4
4
4.0
TOTAL
20
20.0
46
46.0
34
34.0
100
100.0
Minimum expected cell count: 0.4
% cells with expected count < 5: 73.3
1 If p is small, e.g. less than 0.01, or 0.001, you can assume the
result is statistically significant i.e. there is a relationship.
Note: a statistically significant difference may not necessarily
be of any practical significance.
Interpreting the Proportions chart - look at the "All combined"
category - the more different the other Age categories look from
this the more likely the Chi Square test will detect a difference.
Within each Age category the Racethn values add up to 1 i.e.
100%. This is not the same way of displaying data as a clustered
bar chart although the similarity can be confusing.
From sofa_db.Copy_of_sawcompgrp on 03/06/2018 at 04:38 PM
All data in table included - no filtering
Results of Pearson's Chi Square Test of Association Between

35. "Uscreen" and "Group"
p value: < 0.001 (1.984e-8) 1
Pearson's Chi Square statistic: 41.538
Degrees of Freedom (df): 4
Group
1.0
2.0
TOTAL
Obs
Exp
Obs
Exp
Obs
Exp
Uscreen
0.0
20
12.5
5
12.5
25
25.0
1.0
24
16.0
8
16.0
32
32.0
2.0
6

36. 13.0
20
13.0
26
26.0
3.0
0
7.0
14
7.0
14
14.0
4.0
0
1.5
3
1.5
3
3.0
TOTAL
50
50.0
50
50.0
100
100.0
Minimum expected cell count: 1.5
% cells with expected count < 5: 20.0
1 If p is small, e.g. less than 0.01, or 0.001, you can assume the
result is statistically significant i.e. there is a relationship.
Note: a statistically significant difference may not necessarily
be of any practical significance.

37. Freq
Col %
Age Group
< 20
309
20.6%
20-29
189
12.6%
30-39
176
11.7%
40-64
390
26.0%
65+
436
29.1%
Gender
Male
769
51.3%
Female
731
48.7%

38. From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included - no filtering
Freq
Col %
Age Group
< 20
309
20.6%
20-29
189
12.6%
30-39
176
11.7%
40-64
390
26.0%
65+
436
29.1%
Gender
Male
769
51.3%
Female
731
48.7%

39. From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included - no filtering
Freq
Col %
Age Group
< 20
309
20.6%
20-29
189
12.6%
30-39
176
11.7%
40-64
390
26.0%
65+
436
29.1%
Gender
Male
769
51.3%
Female

40. 731
48.7%
From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included - no filtering
Freq
Col %
Age Group
< 20
309
20.6%
20-29
189
12.6%
30-39
176
11.7%
40-64
390
26.0%
65+
436
29.1%
Gender
Male

41. 769
51.3%
Female
731
48.7%
From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included - no filtering
Freq
Col %
Age Group
< 20
309
20.6%
20-29
189
12.6%
30-39
176
11.7%
40-64
390
26.0%
65+
436
29.1%

42. Gender
Male
769
51.3%
Female
731
48.7%
From sofa_db.demo_tbl on 03/06/2018 at 03:33 PM
All data in table included - no filtering
Freq
Col %
Age Group
< 20
309
20.6%
20-29
189
12.6%
30-39
176
11.7%
40-64
390
26.0%
65+

43. 436
29.1%
Gender
Male
769
51.3%
Female
731
48.7%
From sofa_db.demo_tbl on 03/06/2018 at 03:41 PM
All data in table included - no filtering
Country
Japan
Italy
Germany
TOTAL
Freq
Col %
Freq
Col %
Freq
Col %
Freq
Col %
Age Group
< 20
63

44. 13.5%
141
27.8%
105
19.9%
309
20.6%
20-29
66
14.2%
54
10.7%
69
13.1%
189
12.6%
30-39
63
13.5%
53
10.5%
60
11.4%
176
11.7%
40-64
116
24.9%
135
26.6%
139
26.4%
390

45. 26.0%
65+
158
33.9%
124
24.5%
154
29.2%
436
29.1%
From sofa_db.demo_tbl on 03/06/2018 at 03:44 PM
All data in table included - no filtering
Results of Pearson's Chi Square Test of Association Between
"Age Group" and "Country"
p value: < 0.001 (1.359e-5) 1
Pearson's Chi Square statistic: 36.606
Degrees of Freedom (df): 8
Country
Japan
Italy
Germany
TOTAL
Obs
Exp
Obs
Exp
Obs
Exp
Obs
Exp

46. Age Group
< 20
63
96.0
141
104.4
105
108.6
309
309.0
20-29
66
58.7
54
63.9
69
66.4
189
189.0
30-39
63
54.7
53
59.5
60
61.8
176
176.0
40-64
116
121.2
135
131.8

47. 139
137.0
390
390.0
65+
158
135.5
124
147.4
154
153.2
436
436.0
TOTAL
466
466.0
507
507.0
527
527.0
1500
1500.0
Minimum expected cell count: 54.677
% cells with expected count < 5: 0.0
1 If p is small, e.g. less than 0.01, or 0.001, you can assume the
result is statistically significant i.e. there is a relationship.
Note: a statistically significant difference may not necessarily
be of any practical significance.