Program Overview

Course Overview

The STAT 193 course, also known as Statistics in Practice, is an applied statistics course designed for students advancing in various disciplines, including those majoring in Statistics. It is particularly suitable for students majoring in Biological Science, Geography, Health, Linguistics, Psychology, Education, or those pursuing a Bachelor of Commerce.

Course Details

• Course Code: STAT 193
• Duration: Approximately 150 hours or 8.8 hours per week for 17 weeks.
• Points: 15 points, with one point estimated to be about 10 hours of work.
• Fees:
  • NZ$953.25 for domestic students.
  • NZ$5,058.00 for international students.
• Lecture Times:
  • Tuesday at 10:00am.
  • Wednesday at 10:00am.
  • Friday at 10:00am.
• Campus: Kelburn.

Entry Restrictions

• Prerequisites: None.
• Corequisites: None.
• Restrictions: Students who have already passed MATH 277 or QUAN 102 cannot take this course.

Course Objectives

Students who pass this course should be able to:

1. Identify and interpret differences between different data types.
2. Choose, construct, and interpret appropriate visual and numerical data summaries for each data type.
3. Explain and apply concepts of probability, random variables, and probability distributions.
4. Explain and apply the concept of sampling variability.
5. Pose and test a hypothesis to answer a research question of interest on specified univariate and bivariate data types and interpret the results of the hypothesis test plus associated confidence intervals.
6. Use statistical software to summarize, display, and analyze data.

How the Course is Taught

• The course material will be delivered in lectures.
• Students are expected to attend at least one workshop/tutorial per week.
• A scientific or graphics calculator is highly recommended for the final in-person exam.
• There is no required text for STAT 193; course notes will be provided.

Assessment

• Final In-Person Written Exam: 40%.
• Online Quizzes (Weekly): 30%.
• Assignments (x3) - Written: 30%.

Mandatory Requirements

To pass this course, students must:

1. Achieve an overall pass mark of at least 50%.
2. Achieve a mark of at least 30% in the exam.

Taught By

The School of Mathematics and Statistics, Faculty of Science and Engineering, is responsible for teaching this course.

Disclaimer

This course outline may be subject to change.