Statistics Video Presentations

These videos and lessons use graphical methods and data summary statistics. Further statistical procedures are listed with each case study. Data are available in Excel format for anyone wishing to try some of the analyses but graphical procedures along with video discussion usually lead to the main results.

Most methods are in the New Zealand high school curriculum or first year University. Others (for example multiple linear regression and multivariate procedures) are more appropriate at 200+ University undergraduate level.

Videos 1 through 13 include exercises that are designed with GenStat, but be carried out with any statistical package.

1.	O cockle, Where Art Thou? Austina Clark, Mathematics and Statistics, University of Otago A designed experiment, stratified sampling; confidence intervals and tests on means; simple linear regression; two factor factorial experiment; multiple linear regression. (length: 9:00)
2.	Use of Infrared Thermography for Non-Invasive Assessment of Animal Welfare Mairi Stewart, AgResearch, Ruakura A designed experiment with sequential data; confidence intervals and tests on means; bootstrap confidence intervals; analysis of variance; repeated measures. (length: 15:09)
3.	Maui's Dolphin: Uncovering a New Subspecies Adam N. H. Smith, NIWA Observational data with 59 cases; confidence intervals and tests on means; simple linear regression and correlation; principal component analysis. (length: 16:31)
4.	Ten Minute Course in Epidemiology Nigel Dickson, Preventative and Social Medicine, University of Otago Observational cohort data with 1890 cases; cross tabulations and confidence intervals for proportions; confounder control by stratification; relative risk; logistic regression. (length: 12:30)
5.	Is Iron Deficiency Common among NZ Infants and Toddlers? Elaine Ferguson, Human Nutrition, University of Otago Cross sectional survey with 323 cases; chi square tests; confidence intervals and tests for means, proportions and differences; log transformations; multiple linear regression. (length: 22:11)
6.	Support for Public Funding of the Otago Stadium John Williams, Marketing Department, University of Otago Survey sample with 1950 cases; design of a survey; cross tabulations; confidence intervals for proportions; logistic and multinomial regression; post stratification. (length: 37:21)
7.	Effects of Satellite Transmitters on Tītī David Fletcher, Mathematics and Statistics, University of Otago A designed study; simple linear regression; confidence interval for difference between proportions; bootstrap intervals; logistic model for binomial data and over dispersion. (length: 20:25)
8.	Exploring Data on a Rare Threatened Bird - the Rock Wren Ian Westbrooke, New Zealand Department of Conservation Matched data samples; confidence intervals using t-distribution and bootstrap confidence intervals. (length: 25:07)
9.	Research Trip to the Himalayas: Adjustment to High Altitude Sam Lucas, Physiology Department, University of Otago Designed study with repeated measures; confidence intervals and tests for matched data; bootstrap confidence intervals; repeated measures and mixed model analysis. (length: 14:47)
10.	Impact of Group Rejections on Physical Self-Esteem Motohide Miyahara, Physical Education, University of Otago Questionnaire with 70 likert questions and 100 selected participants; confidence intervals for differences between means of different groups. (length: 11:41)
11.	Effect of Investigator Disturbance on Hatching Success in Endangered Takahe Ian Jamieson, Department of Zoology, University of Otago Designed study with 28 cases; Wilcoxon nonparametric test; bootstrap confidence interval. (length: 26:00)
12.	Why Would you Drink and Drive? Pauline Gulliver, Injury Prevention Research Unit, University of Otago Observational cohort data with 1837 cases; confidence intervals and tests for differences between proportions; chi square test; logistic regression. (length: 9:55)
13.	Statistical Analysis of Trace Metals in New Zealand Dredge Oysters Barry Peake, Chemistry, University of Otago Survey sample with 111 cases; comparison of samples; simple linear regression; log transformed data; principal components and other multivariate techniques. (length: 12:45)
14.	Property Sales in North Shore City Neil Binnie, Auckland University of Technology Census data with up to 9218 cases; data cleaning and exploration; confidence intervals and tests for differences between means; random subsets of data if GTL used. (length: 18:00)
15.	Estimating the Global Burden of Disease (GBD) Julie Legler, St Olaf College Demographic data for 176 countries; methods for missing data estimates; use of mean and the bootstrap; estimates using stratification; estimates using multiple regression. (length: 18:45)
16.	Activity Hit Parade of International Tourists to New Zealand Juergen Gnoth, Marketing Department, University of Otago Survey sample with 3664 cases and over 100 variables; all multivariate techniques used; limit of 500 cases for GTL Undergraduate; used for advanced project work. (length: 17:43)
17.	Studies of Aviation Accidents and Incidents David O'Hare, Department of Psychology, University of Otago A survey with 1144 respondents; chi square tests, analysis of variance and logistic regression; data subsets needed for GTL Undergraduate but not for GTL Schools. (length: 15:47)
18.	Natural Resource Accounts Paul and Kent, Environment Team, Statistics New Zealand Discussion of a new department of Statistics New Zealand to research National Resource Accounts; two short start up time series available. (length: 8:40)
19.	Economic Time Series Analysis Barbara Clendon, Statistics New Zealand Moving average; multiplicative model; seasonal adjustment; trend; irregular or residuals; emphasis on result interpretation (length: 16:34)
20.	Training Dogs to Detect Cancer Various presenters, K9 Medical Detection Group Measuring diagnostic test accuracy; sensitivity, specificity, positive and negative predictive values. (length: 15:36 / 37:06)

	GenStat Workshop Videos A workshop held in Dunedin in November 2010 6 videos presented by David Baird and Jeanette Chapman

Statistics Video Presentations

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