Exam 1- Ch 1, 2, 3, & 6 Flashcards
Statistics that collects, organizes, and presents the data
Descriptive Statistics
The methodology of extracting useful information from a data set
Statistics
Statistics that draws conclusions about a population based on sample data from that population
Inferential statistics
Consists of all items of interest
Population
A subset of the population
Sample
Data collected by recording a characteristic of many subjects at the same point in time, without regard to differences in time
Cross-sectional data
Data collected by recording a characteristic of a subject over several time periods
Time series data
Two types of variables
Qualitative and quantitative
This quantitative variable assumes a countable number of distinct values
Discrete
Ex: number of children, points scored in a game
Quantitative variable that can assume an infinite number of values within some interval
Continuous variable
Ex: weight, height, investment return
Scales of measure
Nominal
Ordinal
Interval
Ratio
The least sophisticated level of measurement
Data are simply categories for grouping the data
Nominal scale
Data may be categorized and ranked with respect to some characteristic or trait
Differences between categories are meaningless because the actual numbers used may be arbitrary
Ordinal scale
Data may be categorized and ranked with respect to some characteristic.
No “absolute 0”
Interval scale
Strongest level of measurement
There IS an “absolute 0”
Ratio scale
The characteristic of an observation or individual
Variable
The values associated with a variable
Data
By dividing each category’s frequency by the sample size, you get what?
Relative frequency
A segmented circle whose segments portray the relative frequencies of the categories of some qualitative variable
Pie chart
Depicts the frequency or the relative frequency for each category of the qualitative data as a bar rising vertically from the horizontal axis
Bar chart