MATH202 Sections 10 and 11

Meeting Time and Place

Section 10

Lecture: MTWRF 10:00 - 11:45 in Gore 102

Lab (20L): MW 12:00 - 1:30 in Ewing 101

Section 11

Lecture: MTWRF 2:00 - 3:45 in Purnell 327

Lab (30L): MW 12:00 - 1:30 in Ewing 101

Instructor

Andrew Novocin

Office Hours: MTWR 4-5 in Smith 430

Email: andynovo@udel.edu

My Notes at stats.prof.ninja/notes

Course Site at SAKAI

Formula Sheet Formula Sheet for MATH202

Tool to understand sampling distributions: Play with sampling distributions

Guide to using Minitab and Excel (WARNING: Large file ~ 11 Mb)

Materials

• Statistics for Business and Economics, 12th ed. McClave, Benson, Sincich. Get the CD (chapters 13 and 14 and data sets are on it).
• MathXL access for doing homework assignments. Instructions in pdf form. The Course ID for your course is: XL1R‐F1HZ‐5020‐8932
• A good scientific calculator; graphic calculators and cellphones will not be allowed in exams.
• Student Solutions Manual (optional)
• Minitab License (optional)

Intellectual Goals

• understand the importance of and distinguish between random sampling and random assignment
• use a two-sample procedure (test or confidence interval) to make inference about two populations
• distinguish between independent and dependent samples
• compare the results of a hypothesis test to the results of a confidence interval
• compare three or more populations using ANOVA techniques
• use a Chi-square test to make inference about population proportions and categorical variables
• calculate and interpret regression equation estimates
• assess the fit of a regression model to a set of data
• detect violations of regression model assumptions required for valid inference
• statistically compare two regression models on the basis of their fit to a set of data
• build multiple regression models and interpret their parameters
• use a regression model to estimate/predict a value of y for a new set of predictors
• formulate an ANOVA as a regression analysis
• use statistical software to perform data analyses
• interpret the output from software
• use the appropriate data analysis method for a given problem

Grading/Assessment

Opportunities to be evaluated before facing reality:

• MathXL HW sets: 7%
• Lab Activities: 7%
• Data Analysis Projects: 6%
• Test 1: 25%
• Test 2: 25%
• Final Exam: 30%

Grade scale:

• A: 93 to 100
• A-: 90 to 92.99
• B+: 87 to 89.99
• B: 83 to 86.99
• B-: 80 to 82.99
• C+: 77 to 79.99
• C: 73 to 76.99
• C-: 70 to 72.99
• D+: 67 to 69.99
• D: 63 to 66.99
• D-: 60 to 62.99
• F: 0 to 59.99

Planned Schedule

I reserve the right to change the schedule

• 1/5 Review Chapters 6,7
• 1/6 8.1 and 8.2
• 1/7 8.3
• 1/8 8.4 and 8.6
• 1/9 9.1
• 1/12 Review
• 1/13 9.2
• 1/14 Test 1: Chapter 8 and 9.1
• 1/15 9.3
• 1/16 9.5
• 1/19 NO CLASSES, Martin Luther King Jr. Day; Let us honor nonviolent civil disobedience on behalf of human rights. LAB CANCELLED
• 1/20 9.5 cont. LAB CANCELLED
• 1/21 9.4
• 1/22 10.1 and 10.2
• 1/23 10.3 and 10.4
• 1/26 Review
• 1/27 Test 2: Chptrs 9 and 10
• 1/28 11.1 and 11.2
• 1/29 11.3 to 11.7
• 1/30 12.1 and 12.2
• 2/2 12.3 to 12.5 and 12.11
• 2/3 12.6
• 2/4 12.7 and 12.8
• 2/5 12.9
• 2/6 Review
• 2/7 Final Exam (Time is TBA) Chapters 8 through 12

Software

We will emphasize Minitab and Excel for our statistical analysis, it might be wise to explore SPSS on your own. 101 Ewing is only open during lab hours. You can access software for statistical analysis at the computer labs: 111 and 113 MacDowell Hall, Smith Hall Computing Site, B&E Lab in Purnell.

Download minitab yourself. onthehub.com/minitab allows access for free for 30 days or a longer term purchase.