Math 481/581  Mathematical Statistics I   Fall, 2007

 

Meetings:  TR  10:50-12:05,  Engr 187

Instructor:  Greg Morrow

Office:  EN 271, (719) 262.3184, gmorrow@uccs.edu

Hours:  TR 10:15-10:45, TR: 1:45 -2:30.

 

Video Archive: http://cmes.uccs.edu/Fall2006/Math481/

 

Prerequisite: Math 381 (a first course in probability and statistics with calculus).

Text:  Mathematical Statistics and Data Analysis, 3rd  ed., by John A. Rice.

ISBN: 0-534-39942-8

Description.  Random Variables, Joint Distributions,  Mean, Variance, Covariance, Conditional expectations and conditional distributions, Moment generating function technique, Approximate means and variances, Limit Theorems, Chi-square, t, and F distributions and their derivation from an independent normal sample.  Illustration of several important concepts in statistics through a study of survey sampling: finite population correction, confidence intervals and application of the central limit theorem, bias, standard error, mean squared error, experimental design and sampling methods, comparisons of estimators via relative efficiency.  Chapters 2 through 7 of the text. 

 

Homework and Tests.  Homework will be due weekly. Late homework will not be accepted. One homework may be dropped.  Students will need to be able write simple programs to solve computing problems and use software to make graphical displays. MatLab and Maple are suggested and will be demonstrated in lectures. Please see the following instructions file to access MatLab from the RATS (remote access terminal server) using only your UFP account: http://it.eas.uccs.edu/help_sheets/RATS.pdf

The final grade will be based on: homework, 25%, mid-term exams, 25% each, and final exam 25%. All tests are in class.

Grading.  90 = A, 80 = B, 70 = C.

Final Exam: Tuesday, Dec. 11, 10:50am -1:20 pm

 Notes 1 Chap.2 examples Notes 2 Notes 3 Notes 4 Notes 5 MATLAB Simulation

Notes 6 Notes 7 Chap 3 Examples pt 2 Notes 8 Notes 9 Notes 10 Notes 11 Notes 12 Notes 13

Notes 17 Notes 18 Notes 19 Notes 20

Test 1 (Chps 2&3):  Sept 27; Test 2 (Chps 4&5):  Nov. 8;

Final Exam (Chps 6&7): Dec. 11.

 

HW I.   Due:  Aug. 30.

Chapter 2: 12, 15, 22, 26, 45, 67.

 

HW II.  Due:  Sept. 11.

Chapter 3:  8, 16, 17, 19, 24, 29.

[Hint on 3.24: Given: f_[P](p) = 1, 0<p<1, and f_[X|P](x|p) = p^x(1-p)^(1-x), x=0,1, then one wants to find: f_[P|X](p|0), 0<p<1, and f_[P|X](p|1), 0<p<1.]

 

HW III. Due: Sept. 13.

Chapter 3:  32, 33, 35.

 

HW IV. Due: Sept. 20.

Chapter 3:  37, 40 (Grad), 45, 49, 66 (Grad), 67, 72.

 

Test 1: Chapters 2 and 3: Sept. 27.

Review for Test 1

 

HW V. Due: Oct. 4.

Chapter 4: 2, 4, 20(Grad), 32, 34.

 

HW VI. Due: Oct. 16. (NOTE CHANGE of DUE DATE)

Chapter 4:  40, 42, 49, 52, 61, 66, 72.

 

HW VII. Due: Oct. 23.

Chapter 4: 75, 79, 81, 85, 89, 94(E.C.), 100, 102.

 

HW VIII. Due: Nov. 1.

Chapter 5:  4, 6(E.C.), 15 (correction: change from 50 to 200 independent fair games), 17, 19,

20(Grad), 22 (See ans. to 21(b) for a=0, b=1, and g=1; also change .05 to .95).

 

Test 2: Chapters 4 and 5: Nov. 8.

Review for Test 2

SAMPLE SOLUTION Review for Test 2

HW IX. Due: Nov. 15.

Chapter 6: 4, 6, 8, 9(Grad; assume an independent  N(0, sigma^2) sample) . Chapter 7: 1, 4.

 

HW X. Due: Nov. 27.

Chapter 7: 7, 14, 19, 23, 32.

 

HW XI. Due: Nov. 29.

Chapter 7: 35, 41, 43, 44(Grad), 49 (answer in book to 7.49 is actually the answer to 7.48.)

The last part of the answer to 7.41(d) in the book is true under the extra assumption that Var(A)=Var(B). Here A = audited value and B = book value.

7.49(a): s_R = .0035. For 7.49(d) we have, by 7.44 with s_x/X-bar in place of C_x, and similarly for C_y, and with rho-hat in place of rho, that Var(Y-bar_R)/Var(Y-bar)=.56 (approximately).

 

HW XII. Due: Dec. 6.

Chapter 7: 52, 53, 54(Grad), 55, 57(E.C.), 60.

 

Final Exam Chapters 6 and 7: Dec. 11, 10:50-1:20.

Review for Final Exam

Sample Solution Rvw for Final

 

Dec 11, 2007: Due to weather, the Final Exam has been rescheduled to be a take home exam, due Dec. 13.

 TAKE HOME FINAL EXAM