Identifying Types of Data
Data can be categorical or quantitative. Categorical data is generally used to estimate proportions of different populations, while quantitative data can be statistically analyzed.
Ways of Organizing Data
Aggregating data is useful to make one-dimensional statistics like “90% had a good understanding of waterborne disease.” Cross-tabulating data can show how a respondent’s answers to different questions may be linked.
Basic Statistical Parameters
Basic statistical concepts such as distribution, mean, median, mode, standard deviation, etc. can illustrate different findings from the survey results. These techniques are useful in telling different stories about the data.
Statistical techniques such as measuring the confidence interval or the Chi-Squared test can measure the margin of error in the statistical parameters and quantify the likelihood that cross-tabulated data are related.