HTHSCI 2S03 Lecture Notes - Lecture 2: Central Tendency, Skewness, N100

• School: McMaster University
• Department: Health Sciences
• Course: HTHSCI 2S03
• Professor: Mc Gillion Michael

Document Summary

* recall: we always try to disprove the null hypothesis first. After the data are collected, the data must be analyzed. The type of data collected influences how we analyze it. There are 2 main types of data: Continuous: takes on any value within a range, examples: interval and ratio data. Categorical: takes on discrete values or falls into discrete categories, examples: nominal and ordinal data. Interval or ratio data can be analyzed as either: 1) continuous (comparing the means) Means between different groups or same groups. Ex: mean bmi in control compared to experimental: 2) categorical (comparing the percentages) Example: body mass index (bmi: continuous measure (ratio, analyzed: Continuous = mean bmi in intervention group compared to the mean bmi in control group. Categorical = % participants with bmi < 25 in intervention group compared to the % participants with bmi < 25 in control group.