Cho hàm số \(y=f(x)\) xác định và liên tục trên đo...
Câu hỏi: Cho hàm số \(y=f(x)\) xác định và liên tục trên đoạn \(\left[ {0;\frac{7}{2}} \right]\), có đồ thị của hàm số \(y=f'(x)\) như hình vẽ. Hỏi hàm số \(y=f(x)\) đạt giá trị nhỏ nhất trên đoạn \(\left[ {0;\frac{7}{2}} \right]\) tại điểm \(x_0\) nào dưới đây?![](data:image/png;base64,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)
A. \(x_0=0\)
B. \(x_0=1\)
C. \(x_0=3\)
D. \(x_0=2\)
Câu hỏi trên thuộc đề trắc nghiệm
40 câu trắc nghiệm chuyên đề Hàm số mũ - Logarit có lời giải ôn thi THPTQG năm 2019