LECTURE NOTES - DESCRIPTIVE STATISTICS
CLOSE-ENDED Close-ended questions = you answer with one of responses given.
Analyzing close-ended responses:
1. Responses = can be 2. Category / Value = e3. Observation / Frequenc4. Variable = all responses
stored as numbers possible response = each actual response to question
All responses can be easily displayed in a frequency table.
UNIVARIATE Statistics in this case = not all about math.
DESCRIPTIVE universal communication tool for explaining what your findings are.
Univariate descriptive statistics exist = to give metal picture of distribution of response.
primary focus: what is a typical response?
secondary focus: how typical is typical?
To assess what is typical must assess level of measurement used.
PRIMARY Levels of measurement used:
1. Nominal - no order (dichotomous)
eg: provinces, country of origin, brands, favourite colour
2. Ordinal - ordered (no set distance between categories / value)
eg: strongly agree, agree, neither agree nor disagree, disagree, strongly disagree
3. Interval/ratio - (order w/ standardized distance between categories/values)
eg: Temperature (F or C), how much money do you make
Reminder: one category that doesn't fit ordinal category makes it nominal measurement.
Mean = most common