Applied Statistics

AUT University

Course Description

  • Course Name

    Applied Statistics

  • Host University

    AUT University

  • Location

    Auckland, New Zealand

  • Area of Study

    Statistics

  • Language Level

    Taught In English

  • Course Level Recommendations

    Lower

    ISA offers course level recommendations in an effort to facilitate the determination of course levels by credential evaluators.We advice each institution to have their own credentials evaluator make the final decision regrading course levels.

    Hours & Credits

  • Credit Points

    15
  • Recommended U.S. Semester Credits
    3 - 4
  • Recommended U.S. Quarter Units
    4 - 6
  • Overview

    An introduction to applied statistics. Topics include: summary statistics, plotting data, the Normal distribution, confidence intervals, hypothesis tests, basic statistical computing, simulation, regression, correlation, analysis of variance, and the detection of outliers.

     
    STUDENT LEARNING HOURS:
    The learning hours are a guide to the total time needed for a student to complete the paper:
    Lectures 24
    Labs/Forum 24
    Self directed 102
    Total learning hours 150
     
    PRESCRIPTOR:
    An introduction to applied statistics. Topics include: summary statistics, plotting data, the Normal
    distribution, confidence intervals, hypothesis tests, basic statistical computing, simulation,
    regression, correlation, analysis of variance, and the detection of outliers.
    LEARNING OUTCOMES:
    On successful completion of this paper students will be able to:
    1. Produce and interpret appropriate graphs
    2. Calculate and interpret summary statistics
    3. Create a contingency table and test for dependence of variables
    4. Compute probabilities from the Binomial and Normal distributions
    5. Simulate data from the Binomial and Normal distributions
    6. Calculate and interpret confidence intervals
    7. Test and interpret a statistical hypothesis
    8. Detect outliers
    9. Fit regression models to multivariate data
    10. Interpret the results of an ANOVA
    11. Use statistical software to summarise and analyse data
    CONTENT
    ? Basic statistical concepts
    ? Samples
    ? Measures of central tendency and variance
    ? Confidence intervals
    ? Binomial and Normal distributions
    ? Simulation of random variables
    ? Outliers Hypothesis testing
    ? t-tests for the mean, proportions and two samples
    ? Contingency tables
    ? Correlation
    ? Regression
    ? Analysis of variance
    715184_2015_desc.doc
    Approved by BOS: April 2015 Valid From: 20/07/2015 Page 2 of 2
    LEARNING & TEACHING STRATEGIES
    Students will be expected to read the relevant sections of the text before the first class for each
    unit. The lecturer will provide activities designed to clarify and reinforce the ideas introduced in the
    text. These will include group discussions, practical problems (usually using R) and written
    exercises.
    ASSESSMENT PLAN
    Assessment Event Weighting Learning Outcomes
    COURSEWORK 0.5
    Assignments (0.3) 1-11
    Mid Semester test (0.2) 1,2,4,5, 6, 8, 11
    EXAMINATION 0.5 1-11
    Grade Map Grade Map 1:
    A+ A A- Pass with Distinction
    B+ B B- Pass with Merit
    C+ C C- Pass
    D Fail
    Overall requirement/s to pass the paper: To pass the paper, the student needs to gain:
    ? A minimum mark of 35% in examination, AND
    ? A C- (50%)overall grade
    READINGS
    Prescribed Text Recommended reading will be supplied
    Software R available free of charge from CRAN

Course Disclaimer

Courses and course hours of instruction are subject to change.

Eligibility for courses may be subject to a placement exam and/or pre-requisites.

Some courses may require additional fees.

Credits earned vary according to the policies of the students' home institutions. According to ISA policy and possible visa requirements, students must maintain full-time enrollment status, as determined by their home institutions, for the duration of the program.

Please reference fall and spring course lists as not all courses are taught during both semesters.

Availability of courses is based on enrollment numbers. All students should seek pre-approval for alternate courses in the event of last minute class cancellations

Please note that some courses with locals have recommended prerequisite courses. It is the student's responsibility to consult any recommended prerequisites prior to enrolling in their course.