Activity Log
February 2012
This activity log reports the projects that Professional Statistical Services conducted during February of calendar year 2012. Unless otherwise specified, all computerized analyses were conducted using SPSS.
Project Title 
Description 
Methods Used 
Status 
Graduate research design course: homework problem 
Create a Latin Square design for 3 interventions administered at 3 different times of day to 6 students 

completed 
Graduate nursing course in research methods: problem set 
Compute incident rates, attack rates, prevalence, ageadjusted mortality rates, powereffect size sample size problems, relative risk, phi coefficient, attributable risk, matchedpairs odds ratio, unmatched odds ratio, attributable proportions of risk, additive model of interaction, multiplicative model of interaction. 

completed 
Graduate social sciences introductory statistics course: regression analysis 
Select a data set, select a DV and at least 2 categorical and 3 interval level independent variables from the data set, run regression of DV on the 5 IVs, check for normality, collinearity, influence points; write an APA formatted report of the complete study. 

completed 
Psychology graduate statistics course problem set 
Preliminary data screening, test assumptions regarding normality and outliers, create scatterplots and check linearity, run multiple regression with two IVs, interpret plot of residuals on fits, write up results in APA format, interpret regression results, create Venn diagram showing partitioning of variance, evaluate collinearity. 

complete 
Graduate business statistics course: case problem 
Clean data set with 726 cases; compute descriptive statistics; compute crosstabulations 

completed 
Graduate social sciences introductory statistics course: problem set 
Import raw data into SPSS, compute descriptive statistics and histograms, compute and interpret zscores and normal distribution probabilities; for each of 5 studies, identify IVs and DVs, null and alternative hypotheses, what would constitute Type I & II errors, what analysis should be used to test hypothesis, provide written summary of results. 

completed 
Graduate statistics course case problem 
Compute box plot; compute average temperatures from Chicago weather records; compute weighted average income for a set of 7 states. 

complete 
Graduate business statistics course: Case problem 
Develop the optimal model to predict variation in the percentage of solids in filter cakes from a subset of 6 production factors. 

complete 
Case study problem: job satisfaction survey analysis 
Analyze job satisfaction survey data and report results for employees at 8 different company locations, 5 age groups, 3 length of service groups, and 2 employment status groups. 

completed 
Psychology graduate statistics course problem set 
Compute and interpret the Pearson correlation between two variables for which data is provided; compute and interpret the phi coefficient and chi square for a 2 x 2 contingency table that is provided; for a third set of bivariate data, check normality assumption, conduct and interpret bivariate regression 

completed 
Graduate business statistics course problem set 
First, construct and explain a reasonable simple regression model for 3 different scenarios; second, create scatterplots illustrating 3 different levels of correlation. 

completed 
Graduate business statistics course Excel problem 
Create a histogram for a provided data set using Excel's data analysis toolkit histogram procedure. 

completed 
Psychology graduate statistics course problem set 
Conduct a repeated measures ANOVA on the provided data set, repeat for one pair of measures using paired ttest, compute effect size estimate for the ANOVA (partial eta squared). 

completed 
Graduate statistics course problem set 
Six scenarios calling for the use of Neill's Statistical Decision Tree to decide on method to use, explain reason for choice of method in each case. 

completed 
MBA statistics course problem set 
Construct histogram using Excel; construct dot plot (PHStat), compute 5 number summary and construct box plot, compute mean and SD, compute probabilities associated with 2 dice, interpretation of survey results. 

completed 