1
Statistics 2010: Elements of
Statistics for Business and
Economics
Winter 2005
Prof. Jaimie Kwon
Dept of Statistics
Cal State East Bay
Logistics
• Grades
– Midterm(s), final
–Quiz
– Homeworks
• Computer (MS excel, occasional Minitab
and R)
Objectives
• Understand the key paradigms of statistics; Keywords
include:
– Population, parameter
– Sample, statistic
– 100(1-α)% Confidence interval
– Statistical hypothesis testing
– P-value
– Linear regression
•Learn to:
– Identify the relevant technique(s) to use for the given data or
question
– Compute basic statistics and run simple tests
– Interpret the results
Chapter 1. What is statistics?
• Statistics
– Descriptive statistics
– Inferential statistics
• Population vs. sample paradigm
– Parameter vs. statistic
Chapter 2. Graphical and tabular
descriptive statistics
• Variable
– Interval (quantitative, numerical)
– Nomin al (categorical)
–Ordinal
• Nominal data
– Frequency
– Relative fre quency
• Interval data
– Histogram: class intervals; Sturges’ formula
– # of Peaks? Skewnes s?
– Stem-and- leaf plot
Graphical and tabular descriptive
statistics (continued)
• Bivariate variables
– Two nominal variables
• Contingency table
– Two interval variables
• Scatter diagrams
• Linear relationship (direction and strength)
• Time series data
