Help
This course has an assignment that is due by 11:55 pm Central Standard Time on Wednesday night of the first week of class. Failure to complete this assignment will result in your removal from the course for non-participation.

Textbooks

Textbook (Online access required):

Beginning Statistics (3rd ed.) by Warren, Denley, and Atchley published by Hawkes Learning

Online access to the courseware is the only resource required for this course. The majority of the homework will be done in the Hawkes Learning Software (online). You must purchase the online access. The recommendation is that you purchase it directly from Hawkes. However, if you need to use a CMU book voucher, then it is also available through the online Bookstore. If you would like a physical textbook to read, the option below shows the bundle you will need to purchase to receive that.

Software + eBook                             ISBN = 978-1642772791

Software + eBook + Textbook            ISBN = 978-1642772807

 

To purchase the software directly from Hawkes Learning or enter an already purchased access code:  Go to this address: https://learn.hawkeslearning.com/Portal/User/Login (If you need instructions, click “Watch the Training Video!” link)

There is a complimentary 20 day access if you need extra time to purchase access. Further instructions will be available on the day the class opens in the instructor's syllabus.

 

Special Requirements

A TI 83/84 calculator is recommended for this course.

 

Course Description

COURSE DESCRIPTION

An introduction to basic statistical procedures and inference, with emphasis on applications and statistical reasoning. Topics include data collection and presentation, descriptive statistics, probability, probability distributions, confidence intervals, hypothesis testing, correlation and regression.

PREREQUISITES

ACT Math subscore greater than or equal to 20; or MA090 with a grade of C or better; or by permission of the Chair. For students with an ACT Math subscore of 21 or lower, MA103I College Algebra or MA109I Quantitative Reasoning is strongly recommended.

 

Measureable Learning Outcomes

  1. Critically analyze and discuss the type, source, and reliability of data presented in numerical or graphical form.
  2. Create appropriate presentations of data using tables and graphs such as box plots, stem-and-leaf plots, line graphs, or histograms.
  3. Calculate measures of central tendency (mean, median, mode) and measures of dispersion (MAD, variance, standard deviation) and use them to describe a data set.
  4. Calculate probabilities for simple and compound events using the addition, multiplication, and conditional probability rules.
  5. Apply counting methods such as permutations and combinations to solve problems involving probability.
  6. Find and interpret the mean and variance of a probability distribution.
  7. Be able to use and apply the binomial, normal, and chi-square distributions to real-world problems.
  8. Build estimates and confidence intervals for population parameters (mean, proportion, variance).
  9. Test hypotheses involving means, proportions, or variances using confidence interval or p-value methods.
  10. Clearly interpret and present conclusions from the results of a hypothesis test for one or two populations.
  11. Perform a linear regression on a data set and use it to model, describe, and interpret relationships between data.