PROGRAM-1
INTRODUCTION
SPSS (Statistical Package for the Social Sciences) is a widely
used software for statistical analysis in various fields. It offers a
user-friendly interface, making it accessible to researchers,
analysts, and students. SPSS enables users to perform diverse
statistical analyses, including descriptive statistics, inferential
tests, and data visualization. Its functionality extends to data
cleaning, transformation, and reporting, facilitating
comprehensive research insights. Whether in academia or
industry, SPSS plays a pivotal role in simplifying complex
statistical procedures, aiding professionals in extracting
meaningful patterns and trends from data sets.
Latest versions of SPSS
The latest version of SPSS is IBM SPSS Statistics 28, released in
May 2023. It offers new features and enhancements in various
areas, including:
1. Advanced Statistics: New procedures and enhancements for
machine learning, deep learning, structural equation modeling,
and more.
2. Data Visualization: Improved chart types, interactive
visualizations, and better integration with Jupyter notebooks.
3. Deployment and Collaboration: New options for sharing and
deploying your analysis with others.
Overall, SPSS Statistics 28 provides a powerful and flexible
platform for data analysis.
RECENT DEVELOPMENT IN SPSS
The current traditional version of SPSS is 25, and the next
version is already in the works (it is called the anniversary
version, 50 years of SPSS and will add a major overhaul of the
user interface). As many software companies change to a
subscription model for software distribution and licensing,
there is now also a subscription version that bears no version
number; this version is regularly updated through the Internet,
if you are a subscriber.
Opening of SPSS
Step 1: Click on start
Step 2: Click on all programs then IBM SPSS.
Step 3: Data view
Step 4: Enter the data in the data view.
Step 5: Variable view
Program 2
Descriptive Statistics
Step 1: We will input s.no, name, height and weight in variable
view.
Step 2: Enter the data like s. no., name, height, weight in the
data view.
Step 3: Click on Analyze tab, where the descriptive option is
given and then click on frequency.
Step 4: After clicking on frequency, a dialogue box will appear.
Drag height and weight into variables box.
Step 5: Click on statistics and check on mean, mode and
median
Step 6: Click on continue and the output will be as follows.
Step 7: Check on percentile box in the frequency statistics.
Step 8: Click on continue and the output will be as follows
Program 3
To calculate the frequencies
Step 1: Click on the analyze tab, select table option then click
on custom table
Step 2: Then in the tables option we will take name on y axis
and height on x axis. Click on OK.Output will be as follows.
Step 3: If we want to create graphs. Then click on graphs tab,
click on chart builder.
Step 4:A diaglouge box will appear then click on OK.Click on bar
graph and then take name on x axis and height on y axis. Click
OK.
Step 5: The output will be as follows.
Program 4
To Correlation analysis
Step 1: Click on analyze tab, where correlation option is given
in this select Bivariate.
Step 2: Then a dialogue box will appear. Drag age and height
into variable box. Click on options.
Step 3: A dialogue box will appear. Check on mean and
standard deviation and cross product deviations and
covariances. Click on continue.
Step 4: The output will be as follows.
Partial Correlation
Step 1: Click on analyze tab and then click correlate and click on
partial on menu system.
Step 2: Transfer the variables age and height into the
variable box, and weight in controlling box, by dragging and
dropping or by clicking the relevant buttons.
Step 3: Click on the options button. Then the options screen
presents a dialogue box. Tick the means and standard
deviation and zero- order correlation in statistics area as
shown below.
Step 4: Click on continue and the OK button, the output will
be as follows.
Program 5
Regression Analysis
Step 1: Click analyze>Regression>Linear...on the top menu.
Step 2: Transfer age into the independent variable box and
height into the dependent variable box. We can do that by
dragging and dropping the variables or by using the
appropriate button.
Step 4: Click on the statistics tab and check on the required
check boxes as shown below.
Step 5: Click on continue and OK. The output will be as
follows.
Program 6
T-test
Step 1: Click on the analyze tab from the menu bar, then click
on compare means and select the One sample T-test.
Step 2: Transfer the dependent variable and groups into the
Test variables box by selecting and then clicking on the arrow
button. Entering the population means you are comparing the
sample against in the Test value box, by changing the current
value of “0” to ”4”.
Step 3: Click on the option button, a dialogue box will appear.
Step 4: Click the continue button. And then click the OK button.
The output will be generated.
Program 7
ANNOVA
To calculate one way ANOVA
Step 1: Click on analyze on the menu bar, then click on the
compare means and select the one-way ANOVA.
2.
Step 2: A dialogue box will appear. Drag the dependent variable
height in dependent list and independent variable weight in
factor box.
Step 3: Click on the option button. Tick the Descriptive
checkbox in the Statistics area.
Step 4: Click on the continue button. Click on the OK button.
The output will be generated.
