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  2. 0. Statistics 1B Statistics 1B 1 (1–1) 0. Lecture ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-01-intro-prob.pdf
    18 Jan 2017: barplot( dbinom(0:10, 10, 1/6), names.arg=0:10,. xlab="Number of sixes in 10 throws" ). Lecture 1. Introduction and probability review 24 (1–1). 1. Introduction and probability
  3. 0. Statistics 1B Statistics 1B 1 (1–1) 0. Lecture ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-01-intro-prob-4.pdf
    17 Jan 2017: barplot( dbinom(0:10, 10, 1/6), names.arg=0:10,. xlab="Number of sixes in 10 throws" ). Lecture 1. Introduction and probability review 24 (1–1). 1. Introduction and probability
  4. 11. Lecture 12. The linear model Lecture 12. The ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-12-linear.pdf
    7 Mar 2017: Simple linear regression. Example 12.1. For each of 24 males, the maximum volume of oxygen uptake in the blood andthe time taken to run 2 miles (in minutes) were measured. ... 24,. where εi are independent random variables with variance σ2, and a and b
  5. 11. Lecture 12. The linear model Lecture 12. The ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-12-linear-4.pdf
    28 Feb 2017: Simple linear regression. Example 12.1. For each of 24 males, the maximum volume of oxygen uptake in the blood andthe time taken to run 2 miles (in minutes) were measured. ... 24,. where εi are independent random variables with variance σ2, and a and b
  6. 12. Lecture 13. Linear models with normal assumptions Lecture ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-13-normal-linear.pdf
    10 Mar 2017: σ̃2 =RSS. n p=. 67968. (24 2)= 3089. Residual standard error is σ̃ =. 3089 = 55.6 on 22 degrees of freedom. Lecture 13. Linear models with normal assumptions 13 (1–1).
  7. 12. Lecture 13. Linear models with normal assumptions Lecture ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-13-normal-linear-4.pdf
    28 Feb 2017: σ̃2 =RSS. n p =67968. (24 2) = 3089. Residual standard error is σ̃ =. 3089 = 55.6 on 22 degrees of freedom. Lecture 13. Linear models with normal assumptions 13 (1–1).
  8. 13. Lecture 14. Applications of the distribution theory Lecture ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-14-normal-applications.pdf
    6 Mar 2017: 13. Lecture 14. Applications of the distribution theory. Lecture 14. Applications of the distribution theory 1 (1–75). 14. Applications of the distribution theory 14.1. Inference for β. Inference for β. We know that β̂ Np(β,σ2(XT X )1), and
  9. 13. Lecture 14. Applications of the distribution theory Lecture ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-14-normal-applications-4.pdf
    6 Mar 2017: 13. Lecture 14. Applications of the distribution theory. Lecture 14. Applications of the distribution theory 1 (1–75). 14. Applications of the distribution theory 14.1. Inference for β. Inference for β. We know that β̂ Np(β,σ2(XT X )1), and
  10. 9. Lecture 10. Tests of homogeneity, and connections toconfidence ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-10-homogeneity-CIs.pdf
    20 Feb 2017: Medicine 416 99 24% 578 140 24%Veterinary medicine 338 53 16% 180 22 12%. ... Total 1184 274 23 % 2470 584 24%. In all subjects, the acceptance rate was higher for women!
  11. 9. Lecture 10. Tests of homogeneity, and connections toconfidence ...

    www.statslab.cam.ac.uk/Dept/People/djsteaching/S1B-17-10-homogeneity-CIs-4.pdf
    20 Feb 2017: Medicine 416 99 24% 578 140 24%Veterinary medicine 338 53 16% 180 22 12%. ... Total 1184 274 23 % 2470 584 24%. In all subjects, the acceptance rate was higher for women!

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