Slides are here:
To prepare for this class:
A. Please read the following:
- from PDQ Statistics, pages 35-40 “Comparison of Means of Two Samples”
- from PDQ Statistics, page 198-204 on “Box Plots” and “Missing Data”
B. Please consider the following questions for discussion in class:
- What is the standard error and how is it related to the standard deviation?
- How can we calculate the 95% confidence interval around a mean?
- What methods can we use to visualize the relationship between a continuous variable and a dichotomous variable?
C. Get your radon dataset ready for analysis
- Pick a method for dealing with values <LOD and stick with it for the rest of the term
- Ensure that you have one column with the untransformed data and one column with the log-transformed data
Objectives of this class:
A. Hypothesis generation for dichotomous variables
- Which variables in the radon dataset are dichotomous?
- How might they be associated with the radon concentrations?
- How can we test our hypotheses?
B. Visualization of continuous variables by dichotomous variables
- Density plots for each value of the dichotomous variable
- Box plots
C. Comparing the means to two samples
- t-test and its null hypothesis
- What is a 1-tailed test?
- What is a 2-tailed test?
D. Simple linear regression
- Dependent and independent variables
- The null hypothesis
- Interpretation of coefficients
- Standard reporting
Last updated on January 27, 2017 @11:09 am
