The Analysis of Abalone Data
Questions :
1. Do the analysis based on numerical summaries
2. Do the analysis on the distribution of each variable
3. Do the analysis on the outlier
4. Do the analysis on missing value
4. How to deal with outlier and missing
-Read the case study bellow and download my excel spreadsheet
Ted Ralley, the director of marketing research of a large manufacturer of spare parts for
automobiles, is working on the sales forecast for the next year. He knows that forecast errors are
cost
(i) There are so many problems people met in doing business, Why are the problems in the field of
business increasingly complex? The answer is because of the uncertainty that occurs in the future.
And these problems require statistical analysis. In-depth
PRBE002 Decision Making
Assessment Item 3:
Your PRBE002 unit Information described the focus of assignment as follows:
Description/Focus:
Assessment Item 3 Problem Solving Task 2 Solving a set of given problems
through the application of statistical and o
Questions :
1) Determine the appropriate measure of association or test of statistical
significance to calculate
(2) Calculate this measure of association or test of statistical significance,
showing the work of each step of the calculation.
(3) Interpret
Dependent Variable : Totalpop (Total population, 2000)
Independent Variable : Female (Percent of total population female, 2000) , Mediage (Median
age of total population, in years, 2000), Race2mor (Percent of population that is of two or more
races, 2000)
Doing Empirical Political Research
States Data Codebook
1. State (State postal abbreviation, in alphabetical order by state name)
2. Popsqmi (Population per square mile)
3. Repc88 (Republican percent of the Presidential popular vote, 1988)
4. Dempc88 (Dem
Dependent Variable
81. Stlodebt (Total State and Local Debt Per Capita, FY 1997)
Source: U.S. Census Bureau, as reported in Governings State & Local Sourcebook, 2001.
Table: State & Local Debt, p. 50
Independent Variables
86. Stpensio (State Pension Earni
These are the selected variables for the analysis based on the codebook from the separated
file.
1. Avganpay (Average annual pay, 1999 (preliminary)
Source: <www.census.gov/statab/ranks/rank12.txt>
Table: State Rankings: Average annual pay
2. Perinccu (Pe
Graphics and Data Visualization in R
Overview
Thomas Girke
December 13, 2013
Graphics and Data Visualization in R
Slide 1/121
Overview
Graphics Environments
Base Graphics
Grid Graphics
lattice
ggplot2
Specialty Graphics
Genome Graphics
ggbio
Additional Ge
Data Visualization Using R
Sameer Bamnote
Cytel Statistical Software & Services Pvt. Ltd., India
July 19, 2014
Sameer Bamnote (PhUSE SDE 2014)
Data Visualization Using R
July 19, 2014
1 / 41
Disclaimer
Any views or opinions presented in this presentation
Visualizing Categorical Data with SAS and R
Course goals
Emphasis: visualization methods
Michael Friendly
Basic ideas: categorical vs. quantitative data
York University
Some novel displays: sieve diagrams, fourfold displays, mosaic plots, .
Some that exte
MEASURES OF
ASSOCIATION
Presenter: P. Ganeshkumar
Moderator: Dr. Pragati Chhabra
Overview of the presentation
Association
Types
of association
Measures of association
Ratio measures
Difference measures
Relationship
between OR & RR
Causation
24-Dec-08
DEPT
International Journal of Software Engineering and Its Applications
Vol. 8, No. 10 (2014), pp. 191-202
http:/dx.doi.org/10.14257/ijseia.2014.8.10.17
Twitter Mining: The Case of 2014 Indonesian Legislative Elections
Rischan Mafrur, M Fiqri Muthohar, Gi Hyun
Dealing with Missing Values in Data
Ji Kaiser
Faculty of Civil Engineering, Czech Technical University
Czech Republic
jiri.kaiser@fsv.cvut.cz
Abstract: Many existing industrial and research data sets contain missing values due to various
reasons, such as
who controls the past controls the future, who controls the present controls the past.
Rich Dad, Poor Dad
By Robert T. Kiyosaki V1.0(9-9-2002)
If you find and correct errors in the text, please update the version number by 0.1 and redistribute. Ripped by