Nghĩa của từ sample fair bằng Tiếng Việt
@Chuyên ngành kinh tế
-hội chợ triển lãm hàng mẫu
-triển lãm hàng hóa
Đặt câu có từ "sample fair"
1. The random sample selection and different sample positions ensure the samples to be representative and fair.
2. For fair without the fair within to hide:
Đối với hội chợ mà không có sự công bằng trong vòng ẩn:
3. Sample from the Ariegite facies (his sample R243)
4. Beau translate: Beautiful, nice, large, Beauty, Beautiful, bouncing, fair, fair, fair, fine, fine, good-looking…
5. Pale/fair/ruddy etc Complexion (=a pale, fair, red etc face) fair-Complexioned/smooth-Complexioned etc She was fair-Complexioned with blonde hair
6. Spillway dam Fair Routine maintenance Weirs Fair Routine maintenance.
7. Maximum sample
8. Sample Conversations
9. I studied sample after sample. And then a beautiful pattern emerged.
10. Sample processing may include nucleic acid sample processing and subsequent sequencing.
11. Assembler sample job descriptions, sample job responsibilities for Assembler, Assembler job profile, job role, sample job description for Assembler.
12. It's not fair for me; it's not fair for my country.
Không công bằng đối với tôi và với đất nước tôi.
13. Boilermaker sample job descriptions, sample job responsibilities for Boilermaker, Boilermaker job profile, job role, sample job description for Boilermaker.
14. That's not fair.
Vậy đâu đúng luật.
15. It was fair play, wasn't it, my lad, absolutely fair play.
16. This paper proposes a fair bandwidth allocation mechanism FPIP ( fair PIP ).
17. (e) Sample dryer
18. Sample Teaching Plan
Kế Hoạch Giảng Dạy Mẫu
19. Sample Family Schedule
Thời biểu mẫu của gia đình
20. Analysis of at least one final sample per aggregate sample is required.
21. Fair Trade coffees.
Cà-phê mậu dịch tự do.
22. Was she fair?
Tóc cổ có vàng không?
23. That's totally fair.
Như vậy là chơi quá đẹp rồi.
24. It's not fair.
Thật không công bằng.
25. A Biased jury/witness Their research was based on a Biased sample (= a group of people/things containing more of one kind than normal, therefore not giving fair or accurate results)