# data[].attributes.body
1 teacher
2 student
3 engineer
4 actor
5 athlete
6 piano
7 artor
8 banker
9 singer
10 flight attendant
SAI 3
7/10
Đông +1
————————————————-
1 a Chef
2 a wirter
3 a manager Đông +1
4 a scientist
5 a doctor
6 an engineer
7 a photographer
8 a pilot
_________________________
+1
+1
———————————
A
1 a photographer
2 scientists
3 a chef
4 flight attendants
B
1 am
2 is
3 Are
4 are
—————-
1 it
She ‘s / ‘s
2 are you
Am
3 he
No/ ‘s not
4 are
They are
5 are
‘Re not/ we are

# data[].attributes.body
1- a teacher
2- a student
3- a architect
4-a performer
5-a athlete
6- musican
7- artor
8-a banker
9- singer
SAI 2
THIEU 1
7/10
--------------------------
1- a chef
2-a writer
3- a  manager
4- a scientist
5- a doctor
6- an angineer
7- a photographer
8- a pilot
+1
+1
----------------------------
A
1- a photographer
2- a scientist
3- a chef
4- a flight attendant
B
1 - am
2- is
3- are
4 are
--------------------------
1- she is/ she is/is
2- are you/ am
3- he/no/he isn't
4- are/ they are
5- are/ aren't/ we are
---------------------------

# data[].attributes.body
teacher
student
singer
banker
flight attendant
painter
performer
Sai8
2/10
-1
-----------------------------------------
1.she's a chef +1
2. he's a writer
3.she's amanager
4. she's a scientist
5. he's a doctor
6. She's  an engineer
7. He's a photographer
8.He's a pilot
+1
-1
------------------------------------------
a.
1. I am a photographer.
2. scientists
3.a  chef
4. flight attendants
b.
1. am
2.is
3.are
4.are
------------
1. is/she is/'s
2.Are you/am
3. he/ no /'s not
4.Are/they are
5. are/ 're not /we are

# data[].attributes.body
1/
Teacher
Student
Architect
Idol
Athlete
Musician
Singer
Flight attendant
sai 3 cau
7/10
-2đ
——————-
2/
+1
+1
-1
1) I am a photographer
2)I am a scientists
3)I am a chef
4)I am a flight attendent
1/am
2/is
3/are
4/are
1/is-she is-s
2/are you-am
3/he-no-s not
4/are- they are
5/are-re not we re

# data[].attributes.body
1.
teacher
musician
designer
student
singer
actor
athlete
flight attendant
banker
artist
SAI 9 CÂU
1/10
------------
2
a chef
a witer +1
a manager
a scientist
a doctor
an engineer
a photographer
a pilot
+1
+1
--------------
3
A
a photographer
scientists
a chef
flight attendants

B
am
is
are
are
+1
--------
4

1. is
she is , 's
2. are you
am
3. he
no, 's not
4. are
they are
5. are
're not ,  we're

# data[].attributes.body
teacher
student
architect
actor
athlete
musician
writer
banker
singer
flight attendant
sai 1
9/10
----------------
A CHEF
a writer
a manager
a scientist
a doctor
an engineer
a photographer
a pilot
+5
----------------
1.
a photographer
scientists
a chef
flight attendant
2.
am
is
are
are
-----------------
1.is
she's /is
2.are you
am
3.he
no/he's not
4.are
they are
5.are
are not/we are

# data[].attributes.body
I.
1.Teacher
2. Student
3.engineer
4.
5.athlete
6.musician
7.
8.counselor
9.Singer
10. flight attendant
SAI 4
6/10
-2
-1
--------------------------------------------------------------
II.
+2
+1
+1
--------------------------------------------------------------
III.
1 I am photographer
2 We are a scientist
3. She is a chef
4. They are flight attendant
1 am
2 is
3 are
4 are
+1
B
1 A IS
B SHE IS/ 'S
2 ARE YOU
B AM
3 HE
B NO/ 'S
4 ARE
B THEY ARE
5 A ARE
B WE ARE NOT|

# data[].attributes.body
1. teacher
2. student
3. actor
4.  architect
5. athlete
6.
7. painter
8. banker
9 singer
10. flight attendant
SAI 4 CÂU
6/10
--------------------------------------------------------------
1 a chef
2 a writer
3 a manager
4 a scientist
5 a doctor
6 an engineer
7 a photographer
8 a pilot
+1
+1
+1
--------------------------------------------------------------
1 a photographer
2.  scientists
3. a chef
4  flight attendants
1  am
2 is
3 are
4 are
+1
------------------------------------------------------------------
1. she is / s
2 are you/ i am
3he/ no/ s not
4 are/ they are
5 are / re/ we are

# data[].attributes.body
1...........
Teacher
Student
Engineer
Actor
athlete
Pianist
Painter
Singer
Flight attendants
Sai 7
3/10
________
2.......
1 She's a chef
2 He's a Writer
3 She's a manager
4 She's a scientist
5 He's a doctor
6 She's an engineer
7 He's a photographer
8 He's a pilot
+1
+1
+1
_____________________________
3..........
1 a Photograper
2  scientists
3 a Chef
4 a Flight attendent
b
am
is
are
are
____________
B
1 she's/'s
2 are you/ i am
3 he/no/'s not
4 are/ they are
5 are/ 're not/ we're

# data[].attributes.body
1. Teachers
2.Student
3. Architect
4. Coach x
5. Althlete
6. Musician
7 x
8 x
9. Singer
10x
Sai 4 câu
6/10
---------------
1. She is  a chef
2.he is a writer
3. She's a manager
4. She's a scientist
5. He is a doctor
6. She is an engineer
7. He is a photographer
8. He is a pilot
+1
+1
+1
------------
A
1.  A Photographer
2. Scientists
3.a chef
4. Flight attendants
B
1am
2is
3 are
4 are
+1
---------
1 A is
B she is/ s
2 A are you
B am
3 A he
B No / sn't
4 A are
B they are
5 are
Re not we are

# data[].attributes.body
1 tercher ,student ,ảrchitect, athlete
,musicican,painnter singer  slight a
Sai 10
..........................................
1 a chef
2 writer
3 a manager
4 a scientist
5 a scientist
6 a docr
7 an engineer
8 a photographer
9 a
Cộng 1 điểm Hạo
Cộng 1 điểm hậu
Cộng 1 điểm
...................
A
1 Photograpers
2 scientist
3chef
4 flight attendant

.............

B
1 is, she's,s
2 are you,am
3 he ,no ,s not
4 are ,they are
5 are ,re ,not .we're

# data[].attributes.body
1 teacher
2 students
3 architect
4
5 athlete
6 written
7
8
9 singer
10 flight attendant
-1
+1
+1
+1
—————
1she’s a chef
2 he’s writter
3 she’s a manager
4 she’s a scientist
5 he’s a doctor
6 she’s an engineer
7 he’s a photographer
8 he’s a pilot
—————
1 i am photographer
2 we are sciencetist
3 she is chef
4 they are flight attendants
1 i am
2 she is
3 we are
4 they are
————
1 is/
she’s / is
2 are you
am
3 he
no/ isn’t’
4 are
they are
5 are
aren’t/ We’re

# data[].attributes.body
Hải:+2
Nhựt: +1
1.Father
2.aunt
3.grandfather
4. Sister
5.cousins
6.grandmother
7.son
8.daughter
9.parents
10. Uncle
10/10
——————————
1.my mother
2.my father
3. My brother
4. My sister
5. My son
6. Daughter
———————————
1.f
2.f
3.T
4.F
5. T
6. F

# data[].attributes.body
Vy +2
Phi +1
1. Grandmother
2. Father
3.
4. Sister
5.
6.
7. Son
8. Daughter
9. Parents
10. Uncle
5/10
————————
1.mother
2.father
3.brother
4.sister
5.son
6.daughter
—————————
1.F
2.F
3.T
4.F
5.T
6.T
2/6

# data[].attributes.body
Hạo +1 +1
Hậu +1
1 father
2 aunt
3 grandfather
4 sister
5 cousins
6 grandmother
7 son
8
9 parents
10 daughter
8 điểm
..................................................................
1 mother
2 father
3 brother
4sister
5 son
6 daughter
.............................
1 T
2 T
3 F
4 T
5 T
6 F
5điểm

# data[].attributes.body
Ly +1
1/Father
2/Aunt
3/grandfather
4/sister
5/cousins
6/grandmother
7/son
8/uncle
9/parent
10/daughter
8 điểm
———————————————-
1/mother
2/father
3/brother
4/sister
5/son
6/daughter
——————————————
1/T
2/T
3/F
4/F
5/F
6/T

# data[].attributes.body
Trân +2
Ngân+1
father (đ)
aunt  (đ)
grandfather (đ)
sister (đ)
cousins (đ)
grandmother (đ)
son (đ)
daughter (đ)
parents (đ)
uncle (đ)
10/10
+1
-----------
1. mother
2. father
3.brother
3. brother
4.sister
5.son
6.daughter
-----
1. F
2. T
3. F
4. F
5.T
6.F
5/6

# data[].attributes.body
+1
1 father
2 aunt
3grandfather
4 sister
5 cousins
6 grandmother
7 son
8 son -> daughter
9 parents
10 uncle
9đ
---------------------------------------

1 my mother
2 my father
3 my brother
4my sister
5 my son
6my daughter
-----------------------------------------
1  F
2 T
3 F
4 F
5 T
6 F
5/6

# data[].attributes.body
Đông +1
Khang +1 +1 +1
1 father
2 aunt
3 grandfather
4 sister
5 cousins
6 grandmother
7 son
8 son------ daughter
9 parents
10 uncle
9/10
~~~~~~~~~~~~~~~~~~~~~~~~~
1 mother
2 father
3 my brother
4 sister
5 son
6 daughter
~~~~~~~~~~~~~~~~~~~~~~~~~
1 F _____T
2 F______T
3 T______F
4 F----F
5 T T
6 F

# data[].attributes.body
+1
1: father
2: aunt
3: grandfather
4: sister
5: cousins
6: grandmother
7: son
8: daughter
9: parents
10: uncle

10/10
------------------------------------
mother
father
brother
sister
son
daughter
+1
------------------------------
F—>T ❌
T
F
F
T
F
Sai 1

# data[].attributes.body
Huyền +1 +1
Châu +1

Father √
Aunt √
Grandfather √
Sister √
Cousins √
Grandmother √
Son √
Daughter √
Parents √
Uncle √
10/10

______________________
1 mother
2 father
3 brother
4 sister
5 son
6 daughter
_______________________
1 T
2 T
3.F
4F
T
F

# data[].attributes.body
Trang +2 +1
1. Father's   -> father
2. Aunt
3. Grandfather
4. Sister
5. Cousin -> cousins
6. Grandmother
7. Son
8. Daughter
9.parents
10.uncle
8/10

# data[].attributes.body
Hân+1
Nguyên+1
1.father✅
2.aunt✅
3.uncle❌ grandfather
4.siíter✅
5.cousins✅
6.grandmother✅
7.son✅
8.daughter✅
9.parents✅
10.grandfather❌uncle
8/10
_________________

1.mother
2.father
3.brother
4.sister
5.son
6.daughter
________
1.F ❌
2.F❌
3.T❌
4.F✅
5.T✅
6.T❌

# data[].attributes.body
Hân +1 +1
Nhóm +1 +1 +1 +1 +1
1 father ✅
2 aunt✅
3 grandfather ✅
4 sister ✅
5 cousins✅
6 grandmother ✅
7 son✅
8 ❌daughter
9 parents✅
10 daughter ❌ uncle

8đ
—————————-
1 mother
2 father
3 brother
4 sister
5 son
6 daughter
———————-
1 F❌
2F❌
3T❌
4T❌
5 T✅
6T❌

# data[].attributes.body
I.
1.father
2.aunt
3. grandfather
4. sister
5. cousins
6. grandmother
7.son
8.sister (DAUGHTER)🤞
9.parents
10.uncle
9/10 😉
___________________________________________________
II.
1. mother
2.father
3.brother
4.sister
5.son
6.daughter
__________________________________________________
III.
1.false ❌
2.true ✔
3.false✔
4.false✔
5.false❌
6.true❌

# data[].attributes.body
+1 +1 +2 +2 +1 +1 +1+1
1. Rice
2. Chicken
3.butter
4. Pasta
5. Sugar
6. Bread
7.pepper
8. Oil
9. Meat
10. Cheese
11. Fish sauce
12. Salt
Breakfast: rice and meat, coffee, 7.00
Lunch: noodle and egg, soda, 11:30
Dinner:  hot pot and roast chicken beer, 19:00
A snack: salad, milk, 15:30
———————————
1.There are apples on the table
2. There is butter on the table
3. There is orange juice on the table
4. There is rice on the table
5. There are eggs on the table
6. There are onions on the table
7. There are strawberries on the table
8. There is water on the table
9. There is chocolate on the table
10. There is some cheese on the table

# data[].attributes.body
+2 +1 +1
——————————————-
1 Rice
2 Chicken
3 butter
4 pasta
5 sugar
6 bread
7 pepper
8 oil
9 meat
10 cheese
11 fish sauce
12 salt
——————————————————

Breakfast noodles, sausage, water, at 7.00 a.m
Lunch fish, vegetable, water, at 11.30 a.m
Dinner beef, salads, cooktail, at 8.00 p.m
A snake greaps, cake, orange juice, at 9.30 p.m
——————————————

There are apples on the table
There is butter on the table
There is orange juice on the table
There is rice on the table
There are eggs on the table
There are onions on the table
There are strawberries on the table
There is water on the table
There is chocolate on the table
There is some cheese on the table

# data[].attributes.body
-1
+1
1 rice
2 chicken
3 butter
4 pasta
5 sugar
6 bread
7 pepper
8 oil
9 meat
10 cheese
11 fish sauce
12 salt
—————————
Breakfast: noodles& sausage, solf drink, at 8:00
Lunch: rice & roast chicken, orange juice at 11:30
Dinner: sour soup& Fried meat, milk, at 8:00
A snack : cake, milk tea at 4:00
+1
———————
1 there are apples on the table
2 there is butter on the table
3 there is orange juice on the table
4 there is rice on the table
5 there are eggs on the table
6 there are onions on the table
7 there are strawberries on the table
8 there is water on the table
9 there is chocolate on the table
10 there is some cheese on the table

# data[].attributes.body
+1
1. Rice
2. Chicken
3. Butter
4. Pasta
5. Sugar
6. Bread
7. Pepper
8. Oil
9. Meat
10. Cheese
11. Fish sauce
12. Salt
————————————
- Breakfast : chicken & sticky rice; water; at 6.45
- Lunch : chicken & rice; coca; at 11.30
- Dinner : chicken hot pot & roast chicken; pepsi; at 6.00
- A snack : potatoes snack & bananas ; milk tea; at 5.00
+2
—————————————
1. There are apples on the table
2. There is butter on the table
3. There is orange juice on the table
4. There is rice on the table
5. There are eggs on the table
6. There are onions on the table
7. There are strawberries on the table
8. There is water on the table
9. There is chocolate on the table
10. There is some cheese on the table
+3

# data[].attributes.body
+1+1+1+1+1
1/rice
2/chicken
3/butter
4/pasta
5/sugar
6/bread
7/pepper
8/oil
9/meat
10/chesse
11/fish sauce
12/salt
——————————————
Lunch: rice&chicken&salad, water ,at 11:00
Dinner: rice&meat ,water ,at6:00
A sanck:bread&banana,soda ,ar9:00
Breakfast: noodles&egg ,milk,at 7:00
———————
1/ there are apples on the table
2/there is a butter on the table
3/there is orange juice on the table
4/there is rice on the table
5/there are eggs on the table
6/there are onions on the table
7/there aer strawberries on the table
8/there is water on the table
9/ there is chocolate on the table
10/there is some chesse on the table

# data[].attributes.body
+1
1. rice
2. chicken
3. butter
4. pasta
5. sugar
6. bread
7. pepper
8.oil
9. meat
10. cheese
11. fish sauce
12. salt
-------
breakfast
chicken soup and boil eggs
tea
at 7:00
lunch
rice and fried shrimp
orange juice
at 11:00
dinner
beef steak and tomato onion salad
beer
at 19:00
a  snack
chocolate cake and yogurt
milk
at 14:00
+2
+1

# data[].attributes.body
Hạo +1 +1
Hậu +1 +1
1 rice
2 chicken
3  butter
4 pasta
5 sugar
6 bread
7 pepper
8 oil
9 meat
10 cheese
11 fish sauce
12 salt
............
Breakfast: Noodle soup ,coffee ,at 7:00
Lunch : chicken , pessi , at 11:00
Dinner : rice and meat , juice , at 8:00
A snack :brea , mass , 9:00
............
1 there are apples ơn the table
2 there is butter on the table
3 there is oraange juice on the table
4 there is rice on the table
5 there are  eggs on the table
6 there are onions on the table
7 there are stawberries on the table
8 there is water on the table
9 there is chocolate on  the table
10 There is some cheese on the table

# data[].attributes.body
1. rice
2chicken
3butter
4pasta
5sugar
6bread
7pepper
8oil
9meat
10cheese
11fish sauce
12salt
+1
----------------
breakfast: rice and meat, eggs, tea, at 7:00
luch: rice and fish, meat stew, water, at 11:30
dinner: rice and chicken, crab soup, ogrange juice, at 6:00
a snack: potato snacks, tobokki, milk tea, at 8:00
+2
----------------
1 there are apples on the table
2 there is butter on the table
3 there is organge juice on the table
4 there is rice on the table
5 there are eggs on the table
6 there are onions on the table
7 there are strawberries on the table
8 there is water on the table
9 there is chocolate on the table
10 there is cheese on the table
+1

# data[].attributes.body
-1 +1 +1
1. rice
2.chicken
3.butter
4. pasta
5. road (sugar)
6.bread
7.pepper
8.oil
9.meat
10. cheese
11. fish sauce
12. salt
________________________________________
- breakfast: pasta & meat, apple juice, at 7:00
_ lunch: rice & chicken, pepsi , at 11:00
_ dinner: rice& meat, soda, at 17:00
_ a snack : cake & fruit, tea, at 21:00
______________
1.there are on the table
2.there is on the table
3.there is on the table
4.there is on the table
5.there are on the table
6.there are on the table
7.there are on the table
8.there is on the table
9.there is on the table
10.there is on the table

# data[].attributes.body
1.rice
2. chicken
3. Butter
4 Pasta
5 sugar
6 bread
7 pepper
8 oil
9 meat
10 cheese
11 fish sauce
12 salt
___________________________
breakfast: Pasta & salad , coffee,at 6:00
lunch : rice & chicken & fish sauce , water ,at 12:00
dinner: noodle & beef , orange juice,at 7:00
a snack : hotdog & tokbokki , soda , at 4:00

# data[].attributes.body
I
1 rice
2 chicken
3 butter
4 pasta
5 sugar
6 bread
7  pepper
8 oli
9 meat
10 cheese
11 fish sauce
12 salt
II
Breakfast : toast & butter, coffee, at 7:00
Lunch: rice & chicken, tea, at 11:00
Dinner: Quang noodles & soup crab , water, at 18:00
A snack : fried potatoes & hot dog, bubble tea, at 15:00
III
1 There are apples on the table
2 There is butter on the table
3 There is orange juice on the table
4 There is rice on the table
5 There are eggs on the table
6 There are onions on the table
7 There are strawberries
8 There is water
9 There is chocolate
10 There is some cheese

# data[].attributes.body
+1

1 rice
2 chicken
3 butter
4 pasta
5 sugar
6 bread
7 pepper
8 oil
9 meat
10 cheese
11 fish sauce
12 salt
_______
Breakfast : chicken sticky rice & noodle sausage ,water, at 6.15
Lunch : rice & roast chicken , water , at 11.45
Dinner : noodle & grilled shrimp , soft drink , at 6.30
A snack : Ice cream ,milk tea, at 3.15p.m
_______
There are apples on the table
There is butter on the table
There is orange juice on the table
There is rice on the table
The are eggs on the table
There are onions on the table
There are strawberries on the table
There is water on the table
There is chocolate on the table
There is some cheese on the table

# data[].attributes.body
+2 cho em cường
1 Young people often wear tighter clothes to show their body shape.
2 Old people want to wear more comfortable shoes
3 Women look more fashionable in a dress
4 At christmas, people prefer warmer clothes
5 A suit makes you look more professional
6 some people wear more colorful clothes to show their style.

1 darker 2 more practical 3 cooler 4 less convenient 5 more conservative 6 more formal 7 hotter 8 lighter 9 are more confortable than