This is the web page for STAT 7 section 1 (fall 2019). The following abbreviations will be used here:

DD = David Draper (Professor; email address draper@ucsc.edu), RG = Rene Gutierrez (Head TA, rgutie17@ucsc.edu), ZH = Zhixiong Hu (TA, zhu95@ucsc.edu), KK = Kacy Kane (TA, kdkane@ucsc.edu), JK = Jizhou Kang (TA, jkang37@ucsc.edu), JL Yunzhe (Jack) Li (TA, yli566@ucsc.edu), BE = Baskin Engineering and JL = Jack's Lounge (on the ground floor of BE: it's the big open area with whiteboards, on the opposite end of the building from the coffee place) .

From DD to all STAT 7 students this quarter: due to the volume of email I receive, I can't guarantee quick response to any message you send; to ensure the fastest possible reply, please put STAT 7 student, Fall 2019 in the subject line of any email message to me.

The catalog description for STAT 7 is as follows:

 

Case-study-based introduction to statistical methods as practiced in the biological, environmental, and health sciences. Descriptive methods, experimental design, probability, interval estimation, hypothesis testing, one- and two-sample problems, power and sample size calculations, simple correlation and simple linear regression, one-way analysis of variance, categorical data analysis.

  • (23 Sep 2019) Announcements will be posted in this section. The first Attachment section below will contain (scanned) PDF copies of the document camera notesthe second Attachment section will contain secure documents (if any are needed this quarter), available only by logging into the web page with your CruzID Blue password.
  • (23 Sep 2019) The webcasts for the class are now up and running. To watch a video, go to webcast.ucsc.edu ; at or near the bottom in the Webcast Course List you'll find two rows that begin STAT 7 David Draper, one of which will give you access to the videos of the lectures and the other of which will have webcasts of DD's discussion sections on Mondays from noon to 1.05pm. In the right-most column of one of those rows under the heading Link, click on Video List; on the page you come to next, in the top yellow box type in the username for this course, which is stat-7-1 ; in the next yellow box type in the password for this course, which is data-science (two words linked by a dash, no spaces, all in lower case; if you click on the Remember me box, you won't have to type in the password from now on, as long as you're using the same computer each time); now click on the blue Login box and you're at the Course Webcasts page. To watch a video just click on it, and then click the right arrow on the left just below the video screen.
  • (23 Sep 2019) Discussion sections for this class are as in the table below. You're required to attend one discussion section each week, in which you'll participate in the solution of some problems similar to those in the current lectures and assignments; at the end you'll get a quiz that's worth about 2% of your overall course score (you'll upload your solutions to the quiz some days later at canvas.ucsc.edu ). 
      Section Day Time Where Who
      01A Mon noon-1.05pm Porter Acad 148 DD
      01B Mon 1.20-2.25pm Porter Acad 148 DD
      01J Mon 7.10-8.15pm Porter Acad 148 JK
      01G Tue 8.30-9.35am Porter Acad 148 JL
      01H Wed 10.40-11.45am Porter Acad 148 JK
      01C Wed noon-1.05pm Soc Sci 2 071 JL
      01D Wed 2.40-3.45pm Soc Sci 2 071 ZH
      01I Wed 4-5.05pm Porter Acad 148 KK
      01E Fri 8-9.05am Soc Sci 2 071 ZH
      01F Fri 9.20-10.25am Soc Sci 2 071 KK
     
  • (23 Sep 2019)  Office hours this quarter are given in the table below (the abbreviations are given near the top of this page). Please note the correction of the typographical errors for DD's office hours listed in the introductory handout for the course: they will be right after lectures, from 1.30-3pm on Tue and Thu in Jack's Lounge. If that location becomes too crowded, a new location will be found and announced in class and by email.
      Day Time Who Where
      Mon 9-10am KK BE 312C/D
      Mon 10-11am KK BE 312C/D
      Mon 5-6pm JK BE 153A
      Tue 10-11am RG BE 312C/D
      Tue 1.30-3pm DD Jack's Lounge
      Tue 4-5pm ZH BE 151
      Wed 6-7pm JL BE 118
      Wed 7-8pm JL BE 118
      Thu 10-11am RG BE 151
      Thu 1.30-3pm DD Jack's Lounge
      Fri 11am-noon JK BE 153A
      Fri 1-2pm ZH BE 151
  • (23 Sep 2019, revised 16 Oct 2019) The Learning Support Services (LSS) people on campus at https://lss.ucsc.edu will be supporting our class this quarter with Modified Supplemental Instruction (MSI). If you find yourself struggling with the material in this class, the MSI tutoring sessions are a good way to get extra help, above and beyond what you get from the lectures, discussion sections, and office hours. Effective from 16 Oct 2019, the schedule for the MSI sessions for STAT 7 is as follows:
      Day Time Location
      Mon 4-5pm Oakes Learning Center
      Wed 10.40-11.40am Oakes Learning Center
      Thu 9.50-10.50am LSS/HSI Conference
      Fri noon-1pm Oakes Learning Center

This service is free to you as a UCSC student; you can go to as many or as few of the MSI sessions as you want; but I if you're having trouble with the material, I highly recommend participating in the MSI program.

  • (21 Oct 2019) I've (belatedly) chosen the official note-takers for the class: they are Melica Baboldashtian (MB) and Mary Carmen Gonzalez (MCG). I'll be posting their notes for all of the lectures in the next several days, and then we'll be up to date.

 

 

AttachmentSize
PDF icon Introduction to Stat 7, Fall 2019: TAs, office hours, discussion sections, assignments, grading policies165.65 KB
PDF icon Tentative syllabus and reading list for Stat 7, Fall 201937.26 KB
PDF icon Class survey (your chance to tell me about your background and interests)33.04 KB
PDF icon Document camera notes (lecture: 26 Sep 2019) (Populations, samples, random sampling)66.07 KB
PDF icon Lecture notes, part 1 (introduction and descriptive methods)4.49 MB
PDF icon Problems for Discussion section 1103.4 KB
PDF icon Document camera notes (discussion section: 30 Sep 2019) (Absolute and relative comparison, significant figures; accuracy)127.62 KB
PDF icon Homework 1 (tentative due date for upload at canvas.ucsc.edu: by 11.59pm on Fri 11 Oct 2019)90.84 KB
PDF icon Document camera notes (lecture: 1 Oct 2019) (comparison of IID and SRS; variable types)166.12 KB
PDF icon Note-taker notes (MB: lecture: 1 Oct 2019)2.51 MB
PDF icon Note-taker notes (MCG: lecture: 1 Oct 2019)1.42 MB
PDF icon Document camera notes (lecture: 3 Oct 2019) (variable types; raw frequency histograms)292.48 KB
PDF icon Note-taker notes (MB: lecture: 3 Oct 2019)2.68 MB
PDF icon Note-taker notes (MCG: lecture: 3 Oct 2019)2.23 MB
PDF icon Document camera notes (discussion section: 7 Oct 2019) (summation notation, histograms [how many bars?])252.67 KB
PDF icon Document camera notes (lecture: 8 Oct 2019) (raw & relative frequency and density-scale histograms; histogram shapes)150.58 KB
PDF icon Note-taker notes (MB: lecture: 8 Oct 2019)1.58 MB
PDF icon Note-taker notes (MCG: lecture: 8 Oct 2019)2.89 MB
PDF icon Document camera notes (discussion section: 14 Oct 2019 (standard deviation, normal curve)231.09 KB
PDF icon Document camera notes (lecture: 15 Oct 2019) (standard deviation, Empirical Rule, normal curve)227.17 KB
PDF icon Note-taker notes (MB: lecture: 15 Oct 2019)2.52 MB
PDF icon Note-taker notes (MCG: lecture: 15 Oct 2019)2.45 MB
PDF icon Document camera notes (lecture: 17 Oct 2019) (randomized controlled trials, practical significance, bias, placebo, blinding)408.71 KB
PDF icon Note-taker notes (MB: lecture: 17 Oct 2019)2.07 MB
PDF icon Note-taker notes (MCG: lecture: 17 Oct 2019)2.24 MB
PDF icon Document camera notes (discussion section: 21 Oct 2019 (experimental design; association is weaker than causation)418.6 KB
PDF icon Document camera notes (lecture: 22 Oct 2019) (design validity; bias; potential confounding factors; observational studies)322.04 KB
PDF icon Note-taker notes (MB: lecture: 22 Oct 2019)2.47 MB
PDF icon Note-taker notes (MCG: lecture: 22 Oct 2019)3.32 MB
PDF icon Document camera notes (lecture: 24 Oct 2019) (probability; Equally Likely Model; AND, OR, NOT; conditional probability [GIVEN])341.06 KB
PDF icon Note-taker notes (MB: lecture: 24 Oct 2019)2.38 MB
PDF icon Note-taker notes (MCG: lecture: 24 Oct 2019)3.81 MB
PDF icon Document camera notes (lecture: 29 Oct 2019) (probability models for sums; expected value)150 KB
PDF icon Note-taker notes (MB: lecture: 29 Oct 2019)1.44 MB
PDF icon Note-taker notes (MCG: lecture: 29 Oct 2019)1.22 MB
PDF icon Document camera notes (lecture: 31 Oct 2019) (standard error, Central Limit Theorem [CLT])114.81 KB
PDF icon Note-taker notes (MB: lecture: 31 Oct 2019)2.92 MB
PDF icon Note-taker notes (MCG: lecture: 31 Oct 2019)1.39 MB
Plain text icon Computer code (in a language called R) to analyze roulette5.61 KB
PDF icon Document camera notes (discussion section: 4 Nov 2019) (screening for bad outcomes, probability models for sums)406.53 KB
PDF icon Document camera notes (lecture: 5 Nov 2019) (measurement error, bias, probability models for means)333.47 KB
PDF icon Note-taker notes (MB: lecture: 5 Nov 2019)3.6 MB
PDF icon Note-taker notes (MCG: lecture: 5 Nov 2019)1.62 MB
PDF icon Document camera notes (lecture: 7 Nov 2019) (square root law, inferential summary, confidence intervals)344.93 KB
PDF icon Note-taker notes (MB: lecture: 7 Nov 2019)1.82 MB
PDF icon Note-taker notes (MCG: lecture: 7 Nov 2019)1.35 MB
PDF icon Document camera notes (lecture: 12 Nov 2019) (statistical significance, inference for proportions)220.23 KB
PDF icon Note-taker notes (MB: lecture: 12 Nov 2019)1.86 MB
PDF icon Note-taker notes (MCG: lecture: 12 Nov 2019)1.22 MB
PDF icon Document camera notes (lecture: 14 Nov 2019) (hypothesis and significance testing; statsig not equal to practsig)47.18 KB
PDF icon Note-taker notes (MB: lecture: 14 Nov 2019)449.86 KB
PDF icon Note-taker notes (MCG: lecture: 14 Nov 2019)425.17 KB
PDF icon Document camera notes (discussion section: 18 Nov 2019) (one-sample statistical inference for the mean of quantitative variable)285.62 KB
PDF icon Document camera notes (lecture: 19 Nov 2019) (false positives and false negatives in hypothesis testing)21.99 KB
PDF icon Note-taker notes (MB: lecture: 19 Nov 2019)371.65 KB
PDF icon Note-taker notes (MCG: lecture: 19 Nov 2019)223.39 KB
PDF icon Document camera notes (lecture: 21 Nov 2019) (correlation coefficient)84.65 KB
PDF icon Note-taker notes (MB: lecture: 21 Nov 2019)852.44 KB
PDF icon Note-taker notes (MCG: lecture: 21 Nov 2019)675.66 KB
PDF icon Document camera notes (lecture: 26 Nov 2019) (practical significance of correlations; regression line)138.85 KB
PDF icon Document camera notes (discussion section: 2 Dec 2019) (correlation and regression)264.59 KB
PDF icon Document camera notes (make-up lecture: 2 Dec 2019) (regression: standard error of predicted values; homoscedasticity)108.24 KB
PDF icon Document camera notes (lecture: 3 Dec 2019) (pooled standard error for multiple comparisons in ANOVA)30.7 KB
PDF icon Document camera notes (lecture: 5 Dec 2019) (categorical data analysis: chi-squared test, multiple comparisons)73.27 KB