Cho hàm số \(y=f(x)\) liên tục trên R và có đồ thị...
Câu hỏi: Cho hàm số \(y=f(x)\) liên tục trên R và có đồ thị như hình vẽ dưới đây![](data:image/png;base64,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)
A. 3
B. - 1
C. 0
D. Không tồn tại
Câu hỏi trên thuộc đề trắc nghiệm
40 câu trắc nghiệm Các dạng toán về hàm ẩn liên quan đến GTLN, GTNN của hàm số