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COMPUTERS IN DATA ANALYSIS
SPSS
INTRODUCTION
“Drawing conclusions and
understanding more about the sources of our data is
the goal of statistical analysis”
-kachigan
computers can perform calculations
in just a few seconds that human beings need weeks to
do by hand.
COMPUTERS
 A computer is an electronic device that can perform a
variety of operations in accordance with a set of
instructions called program.
 Computer is an electronic device that can store data
and information in its memory, process them and
produce the desired results.
 A computer is an electronic device that accepts input
data, manipulates the data and produces the output.
MEANING
The word Computer is obtained from the Latin
word “Compute” which means “to calculate” or
“to count”
C -Calculate
O-Operate
M-Memorize
P-Print
U-Update
T-Tabulate
E-Edit
R-Response
GENERATION OF COMPUTER
Generation  A stage in the development
of a product, usually a technical one.
The term computer generation is often used
in relation to the hardware of computers. Each phase
of computer development is known as a separate
generation of computers.
 First generation computer
EX:ENIAC
 Second generation computer
EX:IBM 1400 and Honeywell 400
 Third generation computer
EX:IBM 360 and Honeywell 6000
 Fourth generation computer
EX:Microprocessor, Today’s computer
 Fifth generation computer
GENERATION OF COMPUTER
GENERATION YEAR COMPONENT USED
FIRST 1945 – 1955 Vacuum Tubes
SECOND 1956 – 1965 Transistors
THIRD 1966 – 1975 Integrated Circuit Chips
FOURTH 1976 – Present Microprocessor
FIFTH Coming Generation Artificial Intelligence.
TYPES OF COMPUTER
Based on type/character
Digital computer
Analog computer
Hybrid computer
Based on purpose…
General purpose
Specific purpose
Based on performance…
Super computer
Mainframe computer
Mini computer
Micro computer
CHARACTERISTICS OF COMPUTERS
Speed
Storage capacity
Accuracy
Reliability
Versatility
FUNCTIONS
CENTRAL PROCESSING UNIT
MEMORY
CONTROL UNIT OUTPUT UNITINPUT UNIT
ARITHMETIC AND
LOGIC UNIT
STATISTICAL CALCULATIONS
It perform many calculations easily and
quickly.
computations of mean, standard
deviation, correlation coefficient, t test,
analysis of variance, multiple
regression, factor analysis are just a few
of the programs and subprograms that
are available.
DATA ANALYSIS
Excel has a built in statistical package for
carrying out data analysis .This item is usually hidden
and can be brought out to the menu by clicking the
button tools
Start  program Ms Office Ms Excel
Start Program SPSS Statistics 17.0spss
statistics17.0
DESCRIPTIVE STATISTICS
The first broad function of statistics is to
describe the data in an interpretable form. This can be
done either in terms of numerical values called
summary statistics or by showing the data or graphs.
StartPROGRAMSMSOFFICE
MS EXCEL
ANALYSIS OF DATA
Once the data are coded, they are then
ready to be stored on the computer’s hard disk. They
may be entered directly into a spreadsheet, the
statistical software’s data editor or copied from one
place on the computer and pasted into the statistical
software editor.
Example:
Enter the MASTER TABLE
If you type the background variable then you click
the data view in the spreadsheet. In SPSS package the
Variable view is shown in horizontally.
Analyze Descriptive statistics 
Frequencies
To click the menu in Analyze then it will be shown
in many calculations formula tables.
USES
 It is used for finding descriptive statistic.
 It is used for calculating correlation coefficient
like product moment correlation, multiple
correlations.
 It is used for calculating t values for comparing
groups.
 It is used for finding cross tables and chi –
square.
 It is used for data reduction.(ie)it is used for
data analysis.
It is used for calculating ANOVA value for
comparing groups.
It is used for predicting the results by
using regression equation.
It is used for drawing graphs.
It can filter the data and perform analysis
only in the selected cases.
CONCLUSION
Advanced statistical analysis
requires a full-fledge statistical
software. Depending on the nature of
work, we may use Excel and SPSS for
advanced analysis.
SPSS

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SPSS

  • 1. COMPUTERS IN DATA ANALYSIS SPSS
  • 2. INTRODUCTION “Drawing conclusions and understanding more about the sources of our data is the goal of statistical analysis” -kachigan computers can perform calculations in just a few seconds that human beings need weeks to do by hand.
  • 3. COMPUTERS  A computer is an electronic device that can perform a variety of operations in accordance with a set of instructions called program.  Computer is an electronic device that can store data and information in its memory, process them and produce the desired results.  A computer is an electronic device that accepts input data, manipulates the data and produces the output.
  • 4. MEANING The word Computer is obtained from the Latin word “Compute” which means “to calculate” or “to count” C -Calculate O-Operate M-Memorize P-Print U-Update T-Tabulate E-Edit R-Response
  • 5. GENERATION OF COMPUTER Generation  A stage in the development of a product, usually a technical one. The term computer generation is often used in relation to the hardware of computers. Each phase of computer development is known as a separate generation of computers.
  • 6.  First generation computer EX:ENIAC  Second generation computer EX:IBM 1400 and Honeywell 400  Third generation computer EX:IBM 360 and Honeywell 6000  Fourth generation computer EX:Microprocessor, Today’s computer  Fifth generation computer
  • 7. GENERATION OF COMPUTER GENERATION YEAR COMPONENT USED FIRST 1945 – 1955 Vacuum Tubes SECOND 1956 – 1965 Transistors THIRD 1966 – 1975 Integrated Circuit Chips FOURTH 1976 – Present Microprocessor FIFTH Coming Generation Artificial Intelligence.
  • 8. TYPES OF COMPUTER Based on type/character Digital computer Analog computer Hybrid computer
  • 9. Based on purpose… General purpose Specific purpose Based on performance… Super computer Mainframe computer Mini computer Micro computer
  • 10. CHARACTERISTICS OF COMPUTERS Speed Storage capacity Accuracy Reliability Versatility
  • 11. FUNCTIONS CENTRAL PROCESSING UNIT MEMORY CONTROL UNIT OUTPUT UNITINPUT UNIT ARITHMETIC AND LOGIC UNIT
  • 12. STATISTICAL CALCULATIONS It perform many calculations easily and quickly. computations of mean, standard deviation, correlation coefficient, t test, analysis of variance, multiple regression, factor analysis are just a few of the programs and subprograms that are available.
  • 13. DATA ANALYSIS Excel has a built in statistical package for carrying out data analysis .This item is usually hidden and can be brought out to the menu by clicking the button tools Start  program Ms Office Ms Excel Start Program SPSS Statistics 17.0spss statistics17.0
  • 14. DESCRIPTIVE STATISTICS The first broad function of statistics is to describe the data in an interpretable form. This can be done either in terms of numerical values called summary statistics or by showing the data or graphs.
  • 16. ANALYSIS OF DATA Once the data are coded, they are then ready to be stored on the computer’s hard disk. They may be entered directly into a spreadsheet, the statistical software’s data editor or copied from one place on the computer and pasted into the statistical software editor. Example: Enter the MASTER TABLE
  • 17.
  • 18. If you type the background variable then you click the data view in the spreadsheet. In SPSS package the Variable view is shown in horizontally. Analyze Descriptive statistics  Frequencies To click the menu in Analyze then it will be shown in many calculations formula tables.
  • 19.
  • 20. USES  It is used for finding descriptive statistic.  It is used for calculating correlation coefficient like product moment correlation, multiple correlations.  It is used for calculating t values for comparing groups.  It is used for finding cross tables and chi – square.  It is used for data reduction.(ie)it is used for data analysis.
  • 21. It is used for calculating ANOVA value for comparing groups. It is used for predicting the results by using regression equation. It is used for drawing graphs. It can filter the data and perform analysis only in the selected cases.
  • 22. CONCLUSION Advanced statistical analysis requires a full-fledge statistical software. Depending on the nature of work, we may use Excel and SPSS for advanced analysis.