Required Course Materials

Software:

All assignments must be submitted in Canvas.

This course uses Honorlock for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.

Textbook:

Utts, J.M. (2014) Seeing Through Statistics, Duxbury Press, 4th Edition. ISBN-13: 978-1285050881

Updated for FA23
Software:

A handheld calculator is required for the proctored exams (cell phones, tablets, and online calculators are not allowed). The TI30-XS Multiview is recommended, though any calculator with square root and memory functions is sufficient. Contact your instructor if you have any questions concerning calculators.

Minitab

Minitab is the required software for this course. At the start of class, links will be made available for the software which can be purchased online for free through Penn State. See the course syllabus on the first day of class for full details about purchasing options. Contact the instructor at the start of the course with any questions regarding the purchase of the software.

This course uses Honorlock for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.

Textbook:

Lock, Robin H., Morgan, Kari Lock, Lock, Dennis F., Lock, Eric F., Lock, Patti Frazer (2017) Statistics: Unlocking the Power of Data (2nd ed.), John Wiley & Sons, with WileyPLUS access ISBN: 978-EEGRP37380

Updated for FA23
Software:

Students must have immediate access to an external trackpad and stylus in order to markup assignment .pdf documents and upload them into Canvas.

This course uses Honorlock for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.

Textbook:

Hogg, R.V., and Tanis, E.A. (2020). Probability and Statistical Inference, 10th Edition, Pearson. ISBN-13: 978-0135189399

Note: This is NOT the global edition. We will primarily cover chapters 1-5.

 

Updated for FA23
Software:

Students must have immediate access to an external trackpad and stylus in order to markup assignment .pdf documents and upload them into Canvas.

Access to the Minitab 17 or higher statistical software package. (Although you will actually be allowed to use any of the other mainstream statistical packages, such as SAS, SPSS, and R, the methods in the course will be demonstrated only using Minitab.) See the Statistical Software page for more information.

This course uses Honorlock for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.

Textbook:

Hogg, R.V., and Tanis, E.A. (2020). Probability and Statistical Inference, 10th Edition, Pearson.  (We will primarily cover chapters 6-10.) ISBN-13: 978-0135189399

Note: This is NOT the global edition.

Updated for FA23
Software:

This course will use the statistical software program SAS. See the Statistical Software page for more information.

Textbook:

Dean, A., and Voss, D. (2017) Design and Analysis of Experiments. 2nd Edition. Springer. ISBN-13: 978-3319522487

       (available for free download from the PSU Library website)

Kutner, M., Nachtsheim, C., Neter, J., and Li, W. (2013) Applied Linear Statistical Models. 5th Edition. McGraw-Hill/Irwin. ISBN-13: ‎ 978-1259064746

       (this text is recommended as a reference, but not required).

Updated for FA23
Software:
  • Access to a Windows PC that has internet access, SAS, and Microsoft Word
  • Access to your own copy of SAS 9.4. Please make sure that you visit Statistical Software page for the latest information about SAS.

This course uses Honorlock for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.

Textbook:

There are no required texts for this class.

Updated for FA23
Software:
  • Access to a Windows PC that has internet access, SAS, and Microsoft Word
  • Access to your own copy of SAS 9.4. Please make sure that you visit Statistical Software page for the latest information about SAS.

This course uses Honorlock for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.

Textbook:

There are no required texts for this class.

Updated for FA23
Software:
  • Access to a Windows PC that has internet access, SAS, and Microsoft Word
  • Access to your own copy of SAS 9.4. Please make sure that you visit Statistical Software page for the latest information about SAS.
Textbook:

Cody, Ronald P., and Smith, Jeffrey K. (2006), Applied Statistics and the SAS Programming Language, Fifth Edition, Upper Saddle River, NJ: Pearson Prentice Hall. ISBN-13: 978-0131465329

Updated for FA23
Software:
  • Access to a Windows PC that has internet access, SAS, and Microsoft Word
  • Access to your own copy of SAS 9.4. Please make sure that you visit Statistical Software page for the latest information about SAS.

This course uses Honorlock for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.

Textbook:

Cody, Ronald P., and Smith, Jeffrey K. (2005), Applied Statistics and the SAS Programming Language, Fifth Edition, Upper Saddle River, NJ: Pearson Prentice Hall. ISBN-13: ‎ 978-0131465329

Updated for FA23
Software:
  • Access to your own copy of R. Please make sure that you visit Statistical Software page for the latest information about R.
  • RStudio is a very nice platform for using R that will run on Windows, Mac, and Linux. R studio adds many useful features to simplify using R. All the functions used in this class can be performed without RStudio, but I will be demonstrating their use within RStudio.
Textbook:

We will make extensive use of Essential R – the course notes for this class. You should download it and will probably find it useful to print it. You may also want to download additional resources in the compressed folder Essential R.zip.

Updated for FA23
Software:
  • Access to your own copy of R. Please make sure that you visit Statistical Software page for the latest information about R.
  • RStudio is a very nice platform for using R that will run on Windows, Mac, and Linux. R studio adds many useful features to simplify using R. All the functions used in this class can be performed without RStudio, but I will be demonstrating their use within RStudio.
Textbook:

We will make extensive use of Essential R – the course notes for this class. You should download it and will probably find it useful to print it. You may also want to download additional resources in the compressed folder Essential R.zip.

Updated for FA23
Software:

The course uses Google CoLab through the Penn State Google Suite. No purchase necessary. Students will access and CoLab during the first week of class.

Textbook:

There are no required texts for this class.

Updated for FA23
Software:

This course will use the statistical software program Minitab. See the Statistical Software page for more information.

This course uses Honorlock for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.

A graphing calculator is recommended for this course, especially for students enrolled or considering the MAS program. Otherwise, a basic calculator that includes factorials and combinations will suffice. Please note that for the final exam using a calculator on a device with internet capabilities (e.g. cell phone) will NOT be permitted.

Textbook:

Ott, R. L., and Longnecker, M. (2016).  An Introduction to Statistical Methods and Data Analysis, 7th Edition, Cengage Learning. ISBN 13: 978-1-305-26947-7 or ISBN: 978- 0- 357- 67062- 0

Updated for FA23
Software:

This course uses Minitab statistical software. Students can use any software they wish for assignments, but most will find it easiest to use Minitab. Plus, examples for the course units will be demonstrated using Minitab. See the Statistical Software page for more information about obtaining a copy of Minitab.

This course uses Honorlock for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.

Textbook:

The textbook is required, and either of the two editions below is acceptable. Here are the two options for the required textbook for this course. Students may use either:

The larger 

  • Applied Linear Statistical Models by Kutner, Nachtsheim, and Neter (5th edition) 

OR the smaller 

  • Applied Linear Regression Models by the same authors, Kutner, Nachtsheim, and Neter (4th edition).

The first half of the larger Applied Linear Statistical Models contains sections on regression models, the second half on analysis of variance and experimental design. This first half of the 5th edition text is available published as Applied Linear Regression Models by Kutner, Nachtsheim, and Neter (4th edition).

Students may use either textbook listed as they are identical.

The larger Applied Linear Statistical Models also includes 16 chapters on analysis of variance and experimental design not covered in this course, however, these topics are covered in STAT 502 where these chapters are required. Students may consider purchasing the larger text if they are taking both courses. Applied Linear Statistical Models is considered to be one of the "bibles" of applied statistics so it probably will have value to you beyond this course.

Updated for FA23
Software:

This course uses Honorlock for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.

Students will use both SAS and Minitab. If you are taking additional upper level STAT courses we recommend that you purchase a permanent license for Minitab. See the Statisitical Software page for more information about accessing these applications.  PLEASE NOTE: The Minitab v. 14 Student Version does not have full statistical functionality and is not recommended for STAT courses.

Minitab and SAS will be supported. Sample programs will be supplied but students will be required to do some programing on their own. Students should already feel comfortable using either Minitab and SAS, or be a quick learner of software packages, or be able to figure out how to do the required analyses in another package of their choice. Due to different software versions and platforms there may be issues with running a code. Students should NOT wait to the point of frustration but must be proactive in seeking advice and help from appropriate sources including documentation resources, other students via the online discussion boards, the teaching assistant, instructor or helpdesk.

Students who have no experience with programming or are anxious about being able to manipulate software code are strongly encouraged to take the one-credit course in SAS in order to establish this foundation before taking STAT 502.

Textbook:

There are two options of textbooks for this course. Students may use either:

The larger 

  • Applied Linear Statistical Models by Kutner, Nachtsheim, and Neter (5th edition) 

OR the smaller...

  • Analysis of Variance, a custom printing of the second half of the larger text (ISBN-97811216693-76).

Students may use either textbook listed.

The first half of the larger Applied Linear Statistical Models contains sections on regression models, the second half on analysis of variance and experimental design. The first 12 chapters on regression models are not covered in STAT 502, however these topics are covered in STAT 501 where these chapters are required. Students may consider purchasing the larger text if they are taking both courses. Applied Linear Statistical Models is considered to be one of the "bibles" of applied statistics so it probably will have value to you beyond this course.

Updated for FA23
Software:

This course uses Honorlock for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.

For most assignments the Minitab GLM or SAS Proc GLM and Proc Mixed commands will satisfy the computing requirements. Minitab Design Of Experiments (DOE) commands are also utilized extensively.

Students should already feel comfortable using SAS at a basic level, be a quick learner of software packages, or able to figure out how to do the required analyses in another package of their choice. Students who have no experience with programming or are anxious about being able to manipulate software code are strongly encouraged to take the one-credit courses in SAS in order to establish this foundation before taking courses that rely on this software.

SAS will be supported and sample programs will be supplied but you will be required to do some programing on your own. Due to different software applications, software versions and platforms there may be issues with running code. Students must be proactive in seeking advice and help from appropriate sources including documentation resources, other students, the teaching assistant, instructor or helpdesk.

Textbook:

Montgomery, D. C. (2020). Design and Analysis of Experiments, 10th Edition, John Wiley & Sons. ISBN-13: 978-1119722106

Updated for FA23
Software:

This course uses Honorlock for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.

SAS (https://www.sas.com/), and/or R (https://www.cran.rproject.org/) are used in this course. You do not need both. See the Statistical Software page  for more information about acquiring a copy of these applications.

SAS and R will be supported. Sample programs will be supplied but students will be required to do some programing on their own. Students should already feel comfortable using either SAS or R, or be a quick learner of software packages, or be able to figure out how to do the required analyses in another package of their choice. Due to different software versions and platforms there may be issues with running a code. Students should NOT wait to the point of frustration but must be proactive in seeking advice and help from appropriate sources including documentation resources, other students via the online discussion boards, the teaching assistant, instructor or helpdesk.  Students who have no experience with programming or are anxious about being able to manipulate software code are strongly encouraged to take the one-credit courses in either SAS or R in order to establish this foundation before taking STAT 504.

Textbook:

Agresti, A. (2013). Categorical Data Analysis, 3rd Edition, Wiley. ISBN-13: 978-0470463635

Students are free to purchase either the 2007 or 2002 text for this course. References are provided in the lesson materials for both texts.

Updated for FA23
Software:

This course uses Honorlock for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.

SAS is the recommended software and shall be used for all in-class demonstrations of statistical analyses, homework assignments, and exams. See the Statisitical Software page for more information.

SAS will be supported and sample programs will be supplied but you will be required to do some programing on your own. Due to different software applications, software versions and platforms there may be issues with running code. Students must be proactive in seeking advice and help from appropriate sources including documentation resources, other students, the teaching assistant, instructor or helpdesk.

Statistical software SAS involves programming.  Students should already feel comfortable using SAS at a basic level, be a quick learner of software packages, or able to figure out how to do the required analyses in another package of their choice. Students who have no experience with programming or are anxious about being able to manipulate software code are strongly encouraged to take the one-credit course in SAS in order to establish this foundation before taking STAT 505.

Textbook:

Johnson, R.A., and Wichern, D.W. (2007). Applied Multivariate Statistical Analysis. 6th ed. Prentice Hall, New York. ISBN-13: 978-0134995397

Updated for FA23
Software:

This course uses Honorlock for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.

Students will need to use software to generate random numbers. This can be accomplished by using a statistical software package such as Minitab, SAS or R. See the Statistical Software page for details regarding these applications.

Textbook:

Required: Thompson, Steven K. (2012) Sampling, 3rd Edition. John Wiley and Sons. ISBN-13: 978-0470402313

Optional: Scheaffer, R., Mendenhall III, W., Ott, R.L. (2011). Elementary Survey Sampling, 7th Edition. Cengage Learning. ISBN-13: 978-0840053619

OR

Scheaffer, R., Mendenhall III, W., Ott, R.L. (2006). Elementary Survey Sampling, 6th Edition. Thomson Brooks/Cole, Southbank, Vic. ISBN: 978-0495010708

Updated for FA23
Software:

Students will need to use software to calculate basic epidemiologic measures. This can be accomplished using a statistical software package such as SAS, R, Epiinfo, or Minitab. See the Statistical Software page for information regarding these applications.

Textbook:
  • Essentials of epidemiology in public health (4th ed). (2020) by Ann Aschengrau. Published by Jones & Bartlett Learning. (ebook provided through Penn State libraries)
Updated for FA23
Software:

The examples in the course use R and students will do weekly R Labs to apply statistical learning methods to real-world data. Extensive guidance in using R will be provided, but previous basic programming skills in R or exposure to a programming language such as MATLAB or Python will be useful.

R involves programming. Students should already feel comfortable using R at a basic level, be a quick learner of software packages, or able to figure out how to do the required analyses in another package of their choice. Students who have no experience with programming or are anxious about being able to manipulate software code are strongly encouraged to take the one-credit course in R in order to establish this foundation before taking this course. 

R will be supported and sample programs will be supplied but you will be required to do some programing on your own. Due to different software applications, software versions and platforms there may be issues with running code. Students must be proactive in seeking advice and help from appropriate sources including documentation resources, other students, the teaching assistant, instructor or helpdesk.

Textbook:

James, G., Witten, D., Hastie, T., Tibshirani, R. (2021). An Introduction to Statistical Learning: with Applications in R, 2nd Edition. Springer. ISBN-13: 978-1071614174

(*) This textbook will also be readily available through the Penn State Libraries E-Book program at no cost to the student. Students do not need to purchase a physical copy of the book. Instructions for accessing the E-Book will be provided in the course.

Updated for FA23
Software:

In order to take this course, you need:

  • access to a Windows PC that has internet access, SAS, and Microsoft Word
Textbook:

The required textbook for this course is:

Friedman, Lawrence M. (2015). Fundamentals of Clinical Trials. 5th Edition, Springer. ISBN: 978-3-319-18538-5

Updated for FA23
Software:

This course makes extensive use of the R Statistical Software. This is open-source free software that can be downloaded from the R Project home page. For more information and links to download this software please see the Statistical Software page. MS Word is also required.

R involves programming. Students should be a quick learner of software packages. Students who have no experience with programming or are anxious about being able to manipulate software code are strongly encouraged to take the one-credit course in R in order to establish this foundation. 

R will be supported and sample programs will be supplied but you will be required to do some programing on your own. Due to different software applications, software versions, and platforms, there may be issues with running code. Students must be proactive in seeking advice and help from appropriate sources, including documentation resources, the class discussion forum, the teaching assistant, instructor or helpdesk.

Textbook:

Shumway R.H., Stoffer, D.S. (2012). Time Series Analysis and Its Applications With R Examples, 4th Edition, Springer. ISBN: 978-3319524511

(The text is required, though students do not have to purchase it because it is available electronically through the Penn State library.)

Updated for FA23
Software:

This course makes extensive use if the R statistical software. See the Department of Statistics' Statistical Software page for information about obtaining a copy of R.

Textbook:

There will be no required text-book. Online course materials will combine methodological background description and presentation of analyses and results from recent articles. References and notes will be posted.

Updated for FA23
Software:

In STAT 580 SAS is the software that shall be used for all in-class demonstrations of statistical analyses, assignments, and projects. You will need to have access to your own copy of SAS, (SAS 9.1.3, SAS 9.2 or SAS 9.3) Please make sure that you visit Statistical Software page for the latest information about SAS.

Textbook:

No required texts for this class.

Updated for FA23
Software:

In STAT 581 students may use the statistical software that they prefer.

Textbook:

No required texts for this class.

Updated for FA23
Software:

This course uses Honorlock for proctored exams. For more information view O.3 What is a proctored exam? in the student orientation.

Students will use the Minitab web app. WC materials adoption app link. See the Statistical Software page for more details about these applications. Students wishing to use SAS, R, JUMP, etc. will not have support available through the course.

Textbook:

Agresti, A., Franklin, C.A., and Klingenberg, B. (2017). Statistics: The Art and Science of Learning From Data, 5th Edition, Pearson. ISBN-13: 9780136468769

Updated for FA23