Auckland, New Zealand
Area of Study
Taught In English
Course Level Recommendations
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.
Recommended U.S. Semester Credits3 - 4
Recommended U.S. Quarter Units4 - 6
Hours & Credits
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 24Labs/Forum 24Self directed 102Total learning hours 150PRESCRIPTOR:An introduction to applied statistics. Topics include: summary statistics, plotting data, the Normaldistribution, 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 graphs2. Calculate and interpret summary statistics3. Create a contingency table and test for dependence of variables4. Compute probabilities from the Binomial and Normal distributions5. Simulate data from the Binomial and Normal distributions6. Calculate and interpret confidence intervals7. Test and interpret a statistical hypothesis8. Detect outliers9. Fit regression models to multivariate data10. Interpret the results of an ANOVA11. Use statistical software to summarise and analyse dataCONTENT? 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 variance715184_2015_desc.docApproved by BOS: April 2015 Valid From: 20/07/2015 Page 2 of 2LEARNING & TEACHING STRATEGIESStudents will be expected to read the relevant sections of the text before the first class for eachunit. The lecturer will provide activities designed to clarify and reinforce the ideas introduced in thetext. These will include group discussions, practical problems (usually using R) and writtenexercises.ASSESSMENT PLANAssessment Event Weighting Learning OutcomesCOURSEWORK 0.5Assignments (0.3) 1-11Mid Semester test (0.2) 1,2,4,5, 6, 8, 11EXAMINATION 0.5 1-11Grade Map Grade Map 1:A+ A A- Pass with DistinctionB+ B B- Pass with MeritC+ C C- PassD FailOverall 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 gradeREADINGSPrescribed Text Recommended reading will be suppliedSoftware R available free of charge from CRAN
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.