2023 A-level H2 Mathematics (9758) Paper 2 Suggested Solutions

All solutions here are suggested. Mr. Teng will hold no liability for any errors. Comments are entirely personal opinions

Numerical Answers (workings/explanations are after the numerical answers.)

Question 1: 1 < x < \frac{11}{5}; x < -1, \text{~or~} \frac{5}{3} < x < 2 \text{~or~} x > 5
Question 2: \frac{x^2}{2} + \frac{x^4}{12} + \ldots; \frac{\pi^2}{16} + \frac{\pi^4}{1536};  0.005219
Question 3: \begin{pmatrix}5\\-10\\14\end{pmatrix}; 8.5; 83.9^{\circ}; \begin{pmatrix}\frac{7}{72}\\ \frac{7}{36}\\ \frac{241}{36}\end{pmatrix}
Question 4: \frac{12152}{75}; A(5, 4); (-3.2, -6.25)
Question 5: A and B, or A and D; B and C; A and B, or A and D; not independent
Question 6: 2r + 5 =b, 0.0516
Question 7: 0.9281; 0.9697; e^y = 375x-1880; 8.87
Question 8: 0< \bar{x} \le 1.98, reject H_0
Question 9: 0.440; 0.542; 55.2; 0.237; 0.492
Question 10: 0.677, 0.805, 0.583

Showing 12 comments
  • sixuan
    Reply

    hello!! would you mind making solutions for H1 math too? thank you lots!! :))

  • kl
    Reply

    Hi…When r you uploading the answer for paper 2? Thankz in advanced!

    • KS Teng
      Reply

      Hello, I just started doing. Had other commitments to attend to the whole day. Will try my best.

  • Jm
    Reply

    Can we expect to see the suggested solutions by next week? Thank you

    • KS Teng
      Reply

      Hello, I just started doing. Had other commitments to attend to the whole day. Will try my best.

  • LS
    Reply

    hello! do you mind making the answers for todays h2 math paper 2? thank you 😊

    • KS Teng
      Reply

      Hello, I just started doing. Had other commitments to attend to the whole day. Will try my best.

  • aa
    Reply

    hi for the hypo testing qn, is the given s^2 value in your solution = n/n-1 (sample variance)? thank you

    • KS Teng
      Reply

      hello, nope, we can apply s^2 = \frac{1}{n-1} \big( \sum x^2 - \frac{(\sum x)^2}{n} \big).

      • aa
        Reply

        hi, isn’t that equal to (n/n-1)(sample variance) as well?

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