Lesson 2.2 - Part 1

Question 1

Two key considerations in data analysis

Answer 1

1. Is the variable to be analyzed by itself (univariate analysis) or in relationship to other variables (multivariate analysis)?
2. What level of measurement was used? Categorical or continuous measures?

Question 2

Categorical measures

Answer 2

1. Variables with categorical measures can take two or more categories
2. Example: gender (male/female), grade (freshman, sophomore, junior, senior)
3. A commonly used expression for nominal and ordinal measures

Question 3

Continuous measures

Answer 3

1. Variables when continuous measures have an infinite number of values between any two values.

Example: income, age, frequency of visit, customer satisfaction. (Below $20k, $20k-10k, above $100k)

2. A commonly used expression for interval and ratio measures

Question 4

Basic univariate statistics: descriptive statistics

Answer 4

Statistics that describe the distribution of responses on a variable. Most commonly used descriptive statistics are sample mean (measure of central tendency) and sample standard deviation (measure of dispersion)