Mathematical Statistics Homework Assignments

Unless otherwise noted, readings are from the primary text by Devore and Berk.
References to "Verzani" refer to the “Simple R” guide by John Verzani (PDF).


Date  Readings  Warm-up problems
(initials represent person responsible for presenting the problem)
 

Hand-in problems due at the
beginning of class
(a * means the problem counts as extra credit)

Mon
1/5
Skim Ch. 1;
Review Probability Notes
None
None
Weds
1/7
Read Sec 5.2, 6.1Math 362 Intro to R (pdf);
Ch. 5: 24(GAK), 29(SB), 31(EN), 33(GD)

None
Fri
1/9
Read Sec 6.2Ch. 6: 1(CH), 3(KK), 7(DO), 9(RP)R Lab #1 (pdf)
Mon
1/12
Read Sec 6.3Ch. 6: 15(JS), 17(GAK), 21(SB), 23(GD), 25(CH)Ch. 6: 6, 8, 10
Weds
1/14
Read Sec 6.4Ch. 6: 29(KK),  35(JS),  41(DO), 43(RP)Ch. 6: 14, 20, 22, 24, 26
Fri
1/16
Read Sec
5.5
Ch 6: 49(GAK), 51(SB), 55(GD), 59(EN), 63(CH)
Ch 6: 28,34, 38, 40, 42, 44*
R Lab #2  (pdf)
Mon
1/19
MLK Holiday- No Class
Weds
1/21
Read Sec 7.1Ch 5: 65 (a,b,d) , Supp 1, Supp 2  (Link to supp problems (txt)) {Presenter will be chosen at random.}Ch 6: 48, 50a-b( c*), 54, 64, 66
Fri
1/23
Read Sec 7.2, pp. 344-346Ch 7: 3, 9, 11, 15 {Be prepared to do all}R Lab #3  (pdf)
Mon
1/26
Read Sec 7.2, pp. 346-349 (stop before Ex 7.19);
pp. 351-352
Ch 7: 23a;
Supp1, Supp2 (pdf)
Ch 7: 2, 4, (use exe07-04.Rdata) 6 (Hint: See p. 201 and use exe07-06.Rdata in my R Workspaces directory),  8, 12, 20*
Weds
1/28
Review Ch 7: 21, 23b, 29Ch 7: 13(just find the method of moments estimator for the distribution given there), 22, 58a
Thurs
1/29
Exam I
Fri
1/30
NO CLASS
Mon
2/2
Read Sec 8.1
pp. 375-383
Ch 8: 1, 3, 5None
Weds
2/4
Read Sec 8.2
pp. 385-390
Ch 8: 9, 11None
Fri
2/6
Read Sec 8.3
pp. 393-399
Ch 8: 23 (using prop.test() in R and with a calculator)Ch 8: 6, 8, 10
R Lab #4  (pdf)
Mon
2/9
Read Sec 8.5
pp. 404-410
Ch 8: 41 (Rdata)Ch 8: 14, 16, 20, 22 (use prop.test in R- first find the number of successes that corresponds to the given p-hat value), 26
Weds
2/11
Read Sec 9.1
pp. 417-426
Ch. 8: 51 (Rdata)Ch 8: 34, 38, 40, 42
Fri
2/13
Read Sec 9.2
pp. 428-439
Ch. 9: 9, 11Ch 8: 52  (Rdata), 56 (Rdata)
R Lab #5  (pdf)
Mon
2/16
Read Sec 9.3Ch: 9: 27(SB), 29(GD)Ch 9: 4, 10, 12, 14
Weds
2/18
Read Sec 9.4Ch 9: 37(DO) Ch 9: 18, 26, 30, 34
Fri
2/20
Read Sec  10.1Ch 9: 55  (Rdata) (RP)Ch 9: 38, 40, 42 (also use R to plot the Type II Error probability as a function of p' for  p'=seq(.5, 1,. 05) using n=20 and the rejection region of part (a) ), 44
Mon
2/23
Read Sec 10.2Ch 10: 5 (JS)Ch 9: 52, 54, 56, 58
Weds
2/25
Review
Chaps 8-9
Ch 10: 29 (GAK)Ch 10: 8, 10, 16, 18
Thurs
2/26
Exam II
Fri
2/27
NO CLASS
Mon
3/2
Read Sec 10.3Work on your projectNone
Weds
3/4
Read Sec 10.4Ch 10: 39 (SB)Ch 10: 22, 26, 32, 38
Fri
3/6
Read Sec 10.6 (focus on Bootstrap Methods)Ch 10:  49 (GVD), 51 (CH)Ch 10: 40(Rdata), 42(Rdata), 44, 46(Rdata)
Mon
3/9
Read Secs 12.1-12.2
(omit logistic regression)
Ch 10: 69 (Rdata) (KK), 73b (Rdata) (DO)Ch 10: 50, 52, 56, 58
Weds
3/11
Read Secs
12.3-4
(omit logistic regression)
Ch 12: 4 (Rdata) (RP), 13 (JS)Ch 10: 70 (Rdata)
Fri
3/13
NoneNoneCh 12: 36a, c, d
 
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