các dạng bài tập kinh tế học quốc tế

... kiện cần để định dạng cho các mô hình trên 2. Dùng điều kiện đủ để định dạng cho phương trình (c)3. Có thể dùng phương pháp ước lượng nào để ước lượng các phương trình trên? Bài 11.Cho kết ... định dạng cho từng phương trình trong hệ trên. 2. Dùng điều kiện đủ để định dạng cho phương trình (b).3. Nêu cách sử dụng phương pháp hồi qui hai bước để ước lượng hệ phương trình trên. Bài ... Viết hàm hồi quy mẫu.2. Viết hàm hồi quy mẫu với các biến ban đầu. Giải thích ý nghĩa kết quả ước lượng các hệ số.3. Nếu lao động tăng thêm 1% ,các yếu tố khác không đổi thì GDP tăng ít nhất bao...

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... hãy viết các phương trình điều chế các chất: FeSO4, FeCl3, FeCl2, Fe(OH)3, Na2SO4, NaHSO4. Dạng 2: NHẬN BIẾT VÀ TÁCH CÁC CHẤT VÔ CƠA. NHẬN BIẾT CÁC CHẤTI. Nhận biết các chất ... độ tan của CuSO4 ở 100C là 17,4g.ĐS: 4 2CuSO .5H O 30,7( )m g= DẠNG 4: BÀI TẬP VỀ CÔNG THỨC HOÁ HỌCBÀI TẬP Câu 1: Khi hoà tan 21g một kim loại hoá trị II trong dung dịch H2SO4 ... FeSO4 từ Fe bằng các cách khác nhau.Câu 3: Viết các phương trình điều chế trực tiếp:a) Cu → CuCl2 bằng 3 cách.b) CuCl2 → Cu bằng 2 cách.c) Fe → FeCl3 bằng 2 cách.Câu 4: Chỉ từ...

... bản và rất quan trọng,cho dù đầu bài có yêu cầu hay không yêu cầu, thì trong quá trình giải các bài tập điện ta vẫnthờng phải tiến hành công việc này.Với các mạch điện thông thờng, thì đều ... tronghai cách sau.+ Nếu biết trớc các giá trị điện trở trong mạch và phân tích đợc sơ đồ mạch điện (thành các đoạn mắc nối tiếp, các đoạn mắc song song) thì áp dụng công thức tính điện trở của các đoạn ... đợc vị trí của con chạy C cách A một đoạn bằng AC 29 (cm)Vâỵ tại các vị trí mà con chạy C cách A một đoạn bằng 75 (cm) hoặc 29 (cm) thì am pe kế chỉ )(31A. Bài 32:Cho mạch điện nh hình...

... đổi theo quãng đường đi.II. Bài tập Dạng 1: Định thời điểm và vị trí gặp nhau của các chuyển động Bài 1: Hai ôtô chuyển động đều ngược chiều nhau từ 2 địa điểm cách nhau 150km. Hỏi sau bao ... )vvvvvvvvvvvtttvsTB321321323213212623234232311+++=++++=++=. Bài tập tham khảo: Bài 1: Một người đi xe máy từ A B cách nhau 2400m. Nữa quãng đường đầu xe đi với vận tốc v1, nữa quãng đường sau xe đi với vận tốc. Xác định các vận tốc v1, ... 3h kể từ lúc khởi hành, người đi xe đạp kịp người đi bộ. Dạng 2: Bài toán về tính quãng đường đi của chuyển động20 Tài liệu bồi dưỡng học sinh giỏi THCS môn VẬT LÝTương tự cho trường hợp thứ...

... lại các phương pháp giải để giáo viên chúng ta hướng dẫn học sinh phương pháp chọn cách giải thích hợp khi giải các bài tập thuộc phần điện học; vì thế đề tài còn ít trình bày các dạng bài tập ... xếp các dạng bài tập thành chuỗi bài tập để học sinh rèn luyện.Cho nên có thể nói, giới hạn đề tài này là nêu tóm tắt phương pháp giải một số dạng bài tập phần điện nâng cao, hy vọng trong các ... cho học sinh. Hơn nữa, trong phần điện học, các dạng bài tập nâng cao thường “khó” hơn so với các phần khác, một phần cũng do trong chương trình sách giáo khoa hiện hành còn thiếu các dạng bài...

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... Hướng dẫn giải CDBT từ các ĐTQG Toán học – 103 B. ĐỀ THI Bài 1: ĐẠI HỌC KHỐI A NĂM 2010 Giải bất phương trình:   2xx11 2(x x ... (3; 1). Bài 5: ĐẠI HỌC KHỐI D NĂM 2009 Giải hệ phương trình    22x x y 1 3 0x, y5x y 1 0x      . Hướng dẫn giải CDBT từ các ĐTQG Toán học – 114 ... 3) Bài 13: ĐỀ DỰ BỊ 1 - ĐẠI HỌC KHỐI D NĂM 2006 Giải hệ phương trình:       222 2 2x xy y 3(x y)x xy y 7(x y) (x, y  ). Hướng dẫn giải CDBT từ các ĐTQG Toán học...

... Hướng dẫn giải CDBT từ các ĐTQG Toán học – 275 (S1): (x + 4)2 + (y – 3)2 + (z + 2)2 = 13 (S2): (x + 6)2 + (y – 5)2 + (z + 4) = 13 Bài 6: ĐẠI HỌC KHỐI A NĂM 2009 Trong ... 0)  Mặt cầu đi qua bốn điểm A, B, C, D nên Hướng dẫn giải CDBT từ các ĐTQG Toán học – 241 B. ĐỀ THI Bài 1: ĐẠI HỌC KHỐI B NĂM 2009 Trong không gian với hệ toạ độ Oxyz, cho mặt phẳng ... CHIẾU Phương pháp  Cách 1: (d) cho bởi phương trình tham số: Bài toán 1: Tìm hình chiếu H của điểm A trên đường thẳng (d). Hướng dẫn giải CDBT từ các ĐTQG Toán học – 242 x2x...

... I Hướng dẫn giải CDBT từ các ĐTQG Toán học – 170 Suy ra 1ad2 Vậy khoảng cách từ H đến mặt phẳng (SCD) là: 212add33 Bài 14: ĐẠI HỌC KHỐI B NĂM 2006 Cho hình chóp ... d(AB, SN) = AH2a 3913. Cách 2: Bài toán trên ta sử dụng cách 2 bằng cách xây dựng mặt phẳng (SNI) chứa SN và song song với AB, và khi đó d(AB, SN) = d(A, (SNI)). Cách 3: Xét hệ trục Oxyz ... 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ướng dẫn giải CDBT từ các ĐTQG Toán học – 165 Bài 5: ĐẠI HỌC KHỐI D NĂM 2010 Cho hình chóp S.ABCD có đáy ABCD là hình vuông cạnh a,...

... đầu và thể tích khí oxi cần dùng ở đktc. (4,8 và 6,2 – 14,56 l) Dạng bài tập kết hợp các dạng bài tính theo công thức hóa học *Bài 1: Khí A có tỉ khối đối với khí oxi là 0,8125, thành phần theo ... HCl đã dùng biết người ta dùng dư 10% so với lý thuyết XIX – Bài luyện tập 6 Bài 1: Viết các phương trình hóa học của khí hiđro với các chất: O2; FeO; Fe2O3; Fe3O4; PbO; CuO; ZnO. Ghi ... và thể tích khí CO2 sinh ra ở đktc?XIV – Tính chất của oxi:Có các dạng bài tập tính theo PTHH và tính theo CTHH1. Dạng bài cho hai chất tham gia.8c) Hỗn hợp gồm: khí oxi, khí amoniăc NH3,...