16 phương pháp và kĩ thuật giải nhanh

...  Sách dành tặng học sinh phổ thông  16 Phương pháp và kĩ thuật giải nhanh hóa học  Các công thức giải nhanh trắc nghiệm hóa học 48 48 Giải : Các phản ứng có thể có 2Fe +O2 ... có: nO2-(oxit) = 0,3(mol)560,2 .162 056mmn0,2(mol)n21oxioxitFe(trongX)Cl=−=−=⇒=− 3 3 PHẦN I: 16 PHƯƠNG PHÁP VÀ KĨ THUẬT GIẢI NHANH BÀI TẬP TRẮC NGHIỆM HÓA HỌC ... thể nói phương pháp tăng giảm khối lượng và bảo toàn khối lượng là 2 anh em sinh đôi. Tuy nhiên, tùy từng bài tập mà phương pháp này hay phương pháp kia sẽ là ưu việt hơn. - Phương pháp tăng...

... I: 16 PHƯƠNG PHÁP VÀ KĨ THUẬT GIẢI NHANH BÀI TẬP TRẮC NGHIỆM HểA HC 3 Phơng pháp 1: Phơng pháp bảo toàn khối lợng 4 Phơng pháp 2: Phơng pháp Bảo toàn nguyên tố 16 Phơng pháp 3: Phơng pháp ... Phơng pháp 4: Phơng pháp Bảo toàn điện tích 40 Phơng pháp 5: Phơng pháp Bảo toàn electron 46 Phơng pháp 6: Phơng pháp trung bình 62 Phơng pháp 7: Phơng pháp quy đổi 77 Phơng pháp 8: ... đại lợng thích hợp 160 Phơng pháp 16: Phơng pháp chọn đại lợng thích hợp 170 Phơng pháp 16+ : Phơng pháp sử dụng công thøc kinh nghiÖm 178 PHẦN II: CÁC CÔNG THỨC GIẢI NHANH TRẮC NGHIỆM HÓA...

...  16 Phương pháp và kĩ thuật giải nhanh hóa học  Các công thức giải nhanh trắc nghiệm hóa học 22 22 IV. BÀI TẬP TỰ LUYỆN Câu 1 : Hỗn hợp chất rắn X gồm 0,1 mol Fe2O3 và 0,1 ... nguyên tố - Viết phương trình hóa học ở dạng ion thu gọn 2 2 MỤC LỤC PHẦN I: 16 PHƯƠNG PHÁP VÀ KĨ THUẬT GIẢI NHANH BÀI TẬP TRẮC NGHIỆM HểA HC 3 Phơng pháp 1: Phơng pháp bảo toàn ... 46 Phơng pháp 6: Phơng pháp trung bình 62 Phơng pháp 7: Phơng pháp quy đổi 77 Phơng pháp 8: Phơng pháp đờng chéo 89 Phơng pháp 9: Phơng pháp hệ số 105 Phơng pháp 10: Phơng pháp sử dụng...

... 53,1 gam Giải: 5+N + 3e →2+N(NO) 0,9← 0,3(mol) 2 2 MỤC LỤC PHẦN I: 16 PHƯƠNG PHÁP VÀ KĨ THUẬT GIẢI NHANH BÀI TẬP TRẮC NGHIỆM HểA HC 3 Phơng pháp 1: Phơng pháp bảo toàn ... 46 Phơng pháp 6: Phơng pháp trung bình 62 Phơng pháp 7: Phơng pháp quy đổi 77 Phơng pháp 8: Phơng pháp đờng chéo 89 Phơng pháp 9: Phơng pháp hệ số 105 Phơng pháp 10: Phơng pháp sử dụng ... Phơng pháp mối quan hệ giữa các đại lợng 150 Phơng pháp 15: Phơng pháp chọn đại lợng thích hợp 160 Phơng pháp 16: Phơng pháp chọn đại lợng thích hợp 170 Phơng pháp 16+ : Phơng pháp sử...

... x=tant ta có J1= 4p thay vào thì J= ln 2ln32 4p+ + Nhn xét : Nhiu khi s thành tho ca đng nht thc giúp ta b qua nhanh bc phân tích bng Phng pháp h s bt đnh . chng ... bài toán đin hình minh ho tính u vit cho phng pháp s dng phng pháp bin đi vi phân đa v bng nguyên hàm -Mt trong nhng phng pháp c bn nht đ tính tích phân lng giác đó là ... Nhn xét chung: i bin s dng 1 là mt trong nhng phng pháp rt c bn, hc sinh thng gp trong Các k thi tt nghiêp và thi vào các trng i hc,bi nó có th phát huy ti đa t duy...

... đường quang . Phương pháp 4: thiết lập một hoặc nhiều hơn một đường quang không kết nối trực tiếp từ nguồn s và đích d và định tuyến lưu lượng vào những đường quang này và/ hoặc một vài đường quang ... các dịch vụ và các ứng dụng thời gian thực qua Internet, xác suất nghẽn mạng tăng lên đáng kể nên cần phát triển kĩ thuật thích hợp để hạn chế nghẽn. Kĩ thuật lưu lượng là một giải pháp hiệu ... từ nguồn s và đích d.Mỗi phương pháp có những điều kiện ban đầu cho các ứng dụng của nó. Thí dụ, nếu không có đường quang nào giữa nguồn và đích để hỗ trợ lưu lượng thì phương pháp 1 có thể...

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... Các phương pháp giải phương trình nói chung, tìm ra nghiệm của phương trình Bước 3: Đối chiếu với điều kiện ban đầu để tìm ra nghiệm thỏa mãn và kết luận (xem mục kĩ năng 5 loại nghiệm và ... Vậy phương trình có ba họ nghiệm Chú ý: Ta có thể áp dụng phương pháp đối với phương trình hỗn hợp chứa các biểu thức đối xứng đối với sinx và cosx với bậc lớn hơn 2. Thí dụ 5: Giải phương ... 2008) Giải phương trình: xxxxxx cossin3cossincos3sin2233 Giải: Nhận xét 1: Đây là phương trình đẳng cấp bậc 3 nên ta giải như sau Cách 1: Thay cos 0 ,2x x k k     vào phương...

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816/ 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...

... được và ra rễ mới, lá mới là t có thể đánh giá được kết quả ra cây bừng cách tính tỉ lệ số % số cây sống. - Khi các cây đã tạo rễ và có bộ lá hoàn chỉnh được dưa ra ngoài đất.IV. Phương pháp ... triển của mẫu vật.2.Nhân nhanh và tạo cum chồi- Sau 4 tuần môi trường cấy gây,các chồi được cắt bỏ những đoạn chết chuyển sang môi trường nhân nhanh. Môi trường nhân nhanh thường có nồng độ ... đến 24/04/2011.1. Mục đích – mục tiêu thực tập - Các kỹ thuật cơ bản về nuôi cấy mô và tế bào thực vật. - Kỹ thuật nhân nhanh cây ngưu tất trong ống nghiệm2. Nội dung và kỹ năng...

... vùng trồng cacao ở Việt Nam (như Tây Nguyên, đống bằng sông Cửu Long,…)- Tiếp tục áp dụng kỹ thuật microsatellite để lập hồ sơ kiểu gene cho các giống trong tập đoàn cacao của Đại Học Nông ... truyền xa nhau lai với nhau (như lai quần thể BR với quần thể QH hoặc BAL) để tăng ưu thế lai. Và ngược lại, không nên chọn lai những giống thuộc các quần thể có quan hệ di truyền gần nhau (như...