What is the Shape of the Distribution?
1.Does the histogram have a single, central hump or several separated bumps?
2.Is the histogram symmetric?
3.Do any unusual features stick out?
Humps and Bumps
1
Chapter 4
Most statistical studies involve more than one variable
For relationship bw two quantitative variables
o Response variable
Measures an outcome of a study (dependent)
o Explanatory variable
Chapter 3
Cleaning up data before importing
o Correct the data/convert the data
o Delete
o Keep them
Outliers
o Can affect every statistical method we will study
o Can be very informative part
o May b
Chapter 6
Randomness and Probability
Law of Large Numbers
o Larger creates more equal probability
RULES FOR PROBABILITY
o Sample Space
Set of all possible outcomes
Probability of each outcome is a p
Help with Excel
The biggest thing to remember is that the data you download is a .CSV file. You must use Save As to save
as a Microsoft Excel file with a .XLS file extension. If you submit a
1
Some br
STA 309H Applied Finance Assignment #1 TECHNICAL
ANALYSIS
1 Introduction
In this assignment you will employ data smoothing techniques to a real world problem in stock market
analysis. The spreadsheet
CH 4 Day 1: Describing Quantitative Data:
Histogram & Dot Plot
When discussing a distribution, be it a histogram, dot plot
or stem plot, the following items need to be addressed:
Center
Unusual featur
Counts Count
When we count the cases in each category of a categorical variable, the counts are not the data, but
something we summarize about the data.
The category labels are the What, and
the indiv
Chapter 2
Data
What Are Data?
Data can be numbers, record names, or other labels.
Not all data represented by numbers are numerical data (e.g., 1=male, 2=female).
Data are useless without their contex
Contingency Tables
A contingency table allows us to look at two categorical variables together.
It shows how individuals are distributed along each variable, contingent on the value of the other
varia
Chapter 3
Displaying and Describing
Categorical Data
The Three Rules of Data Analysis
The three rules of data analysis wont be difficult to remember:
1.Make a picturethings may be revealed that are no
Chapter 4
Displaying Quantitative Data
Dealing With a Lot of Numbers
Summarizing the data will help us when we look at large sets of quantitative data.
Without summaries of the data, its hard to grasp
Chapter 5
Examining relationships
o Start with a graph
o Look for pattern and deviations
o Add numerical descriptions
o IF the pattern is LINEAR summarize with a line
o Correlation measures the streng