Presentation is loading. Please wait.

Presentation is loading. Please wait.

Data entry and Data management

Published byEveline Larochelle Modified over 5 years ago

Similar presentations

Presentation on theme: "Data entry and Data management"— Presentation transcript:

1 Data entry and Data management
Multi-Beneficiary Transition Fascility and Statistical Cooperation programme 2005

2 Data processing process
Multi-Beneficiary Transition Fascility and Statistical Cooperation programme 2005

3 Paper Collection Visual Validation Manual Correction Entry
Computer Validation Computer Calculation Publication Multi-Beneficiary Transition Fascility and Statistical Cooperation programme 2005

4 Computer Collection/ Data Entry
IACS Computer Collection/ Data Entry FR PPP Computer Validation Computer Correction Standard tables Computer Calculation Special tables Publication Multi-Beneficiary Transition Fascility and Statistical Cooperation programme 2005

5 Data entry and Data management
Multi-Beneficiary Transition Fascility and Statistical Cooperation programme 2005

Download ppt "Data entry and Data management"

Similar presentations

1. Online hiring cost calculation Recruitment function control Recruitment performance & hiring management analysis Recruitment function operations optimization.

1. Online hiring cost calculation Recruitment function control Recruitment performance & hiring management analysis Recruitment function operations optimization.
School of Computing Clemson University Mathematical Reasoning  Goal: To prove correctness  Method: Use a reasoning table  Prove correctness on all valid.

School of Computing Clemson University Mathematical Reasoning  Goal: To prove correctness  Method: Use a reasoning table  Prove correctness on all valid.
Starting Out with C++, 3 rd Edition 1 Chapter 1. Introduction to Computers and Programming.

Starting Out with C++, 3 rd Edition 1 Chapter 1. Introduction to Computers and Programming.
Chapter 10 Collecting Quantitative Data. SURVEY QUESTIONNAIRES Establishing Procedures to Collect Survey Data Recording Survey Data Establishing the Reliability.

Chapter 10 Collecting Quantitative Data. SURVEY QUESTIONNAIRES Establishing Procedures to Collect Survey Data Recording Survey Data Establishing the Reliability.
1 times table 2 times table 3 times table 4 times table 5 times table

1 times table 2 times table 3 times table 4 times table 5 times table
Mean, median and mode from a frequency table.

Mean, median and mode from a frequency table.
Statistics: Displaying and Analyzing Data. Line Plot Frequency: the number of times something occurs. Use an “x” to show the number of times each data.

Statistics: Displaying and Analyzing Data. Line Plot Frequency: the number of times something occurs. Use an “x” to show the number of times each data.
Statistics using a Casio fx-83GT

Statistics using a Casio fx-83GT
Topics Covered: Data preparation Data preparation Data capturing Data capturing Data verification and validation Data verification and validation Data.

Topics Covered: Data preparation Data preparation Data capturing Data capturing Data verification and validation Data verification and validation Data.
computer

computer
Household Surveying Traci Watts State of Louisiana Office of Community Development.

Household Surveying Traci Watts State of Louisiana Office of Community Development.
Mean and Standard Deviation of Grouped Data Make a frequency table Compute the midpoint (x) for each class. Count the number of entries in each class (f).

Mean and Standard Deviation of Grouped Data Make a frequency table Compute the midpoint (x) for each class. Count the number of entries in each class (f).
Examples of Computing Uses for Statisticians Data management : data entry, data extraction, data cleaning, data storage, data manipulation, data distribution.

Examples of Computing Uses for Statisticians Data management : data entry, data extraction, data cleaning, data storage, data manipulation, data distribution.
Inference Round Table Linda Puckett J. Frank Dobie High School Houston, Texas.

Inference Round Table Linda Puckett J. Frank Dobie High School Houston, Texas.
What have we learned?. What is a database? An organized collection of related data.

What have we learned?. What is a database? An organized collection of related data.
Qualitative Data: consists of attributes, labels or non-numerical entries Examples: Quantitative Data: consists of numerical measurements or counts Examples:

Qualitative Data: consists of attributes, labels or non-numerical entries Examples: Quantitative Data: consists of numerical measurements or counts Examples:
Week 1 Theory 2 B usiness I nformation S ystems Batch Processing Assignment 6 - Batch Processing 1 Batch Processing Method.

Week 1 Theory 2 B usiness I nformation S ystems Batch Processing Assignment 6 - Batch Processing 1 Batch Processing Method.
UNIDO- key facts  Established in 1966 & UN Specialized Agency since 1986  Lead role within UN system on industrial development  172 Member States 

UNIDO- key facts  Established in 1966 & UN Specialized Agency since 1986  Lead role within UN system on industrial development  172 Member States 
Copyright 2010, The World Bank Group. All Rights Reserved. Managing Data Processing Section B.

Copyright 2010, The World Bank Group. All Rights Reserved. Managing Data Processing Section B.
1 Topic iii supporting papers Dan Hedlin Statistics Sweden.

1 Topic iii supporting papers Dan Hedlin Statistics Sweden.

Similar presentations

Ads by Google