Statistical Analysis using SPSS | Amar iSchool

Statistical Analysis using SPSS

SPSS is a statistical analytic tool that is commonly used in the field of social science, such as market research, surveys, competitor analysis, and other applications. It facilitates fast data analysis and ensures that you have reliable details about variables and cases.SPSS provides a wider variety of chart and graph tools for data analysis. The methods aid in the scanning and cleaning of data in order to improve understanding. After completing this course you will have the full knowledge about SPSS and how to conduct analysis using it. Moreover, as a data analyst, you will be able to analyze trends and develop forecasts easily and more efficiently.

Beginner 0(0 Ratings) 0 Students enrolled
Created by Jisan Ahmed Last updated Tue, 08-Jun-2021 Bengali
What will i learn?
  • How to input data from survey questionnaires
  • Descriptive statistics
  • Graphs and charts
  • Managing datasets
  • Statistical Analysis(One sample t-test/Paired t-test/ANOVA etc.)
  • Model Fitting & Cross Tabulations

Curriculum for this course
0 Lessons 00:00:00 Hours
Requirements
  • Basic Knowledge Statistics
  • Essential statistics terms
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Description


WeekDayTopic

1

1.What is SPSS? 
2. Why do we use SPSS? 
3. Interface SPSS 
●Data View 
●Variable VIew 
●Syntax 
●Output 
4. Opening Datasets 
●Existing Datasets
● Creating a New Dataset.


2

1. Descriptive Statistics: 
For Nominal Data:
● Frequency 
● Percentage Relative 
Frequency 
● Percentage Cumulative 
Frequency 
● Total count of Observation 
ForOrdinal Data:
● Mode 
● Range 
● Min 
● Max 
● Count 
2. Exporting Datasets (Saving)


3

1.Live Session 
2. Weekly Assignment. 

21

1.Graphs 
● Bar Diagram 
● Pie Chart 
● Boxplot 
● Stem and Leaf Plot 
●Histogram 
●Q-Qplot


2

1.Creating New Variables 
2. Sorting Variables
●Rename of a variable 
●Labeling dataset 
●Labeling Variable 
●Labeling valuesofa 
categorical variable


3Live session and Weekly Assignment
31

1.Sorting Variables 
●Recoding Variables 
●Recoding Valuesofa 
categorical Variable 
●Sort Values of a variable 
●Split File 


2

1.Appendand Merging Data 
2.Correlation 
3. Scatter Plot 
●Scatterplot Matrix



3Live session and Weekly Assignment
41

1.Statistical Analysis 
●CrossTabulation 
●One Samplet-test 
●Two Samplet-test


2

1.Statistical Analysis 
●Pairwise Comparison 
●Anova


3Live session and Weekly Assignment
51

1.Model Fitting
●Linear Regression Model 


2

1.Model Fitting 
● Logistic Regression Model 


3Live session and Weekly Assignment
61

Non-Parametric Test 
●One Sample t-test 
●Two Sample t-test 


2

Non-parametric test: 
● Paired t-test 
● One way ANOVA 
●Two way ANOVA


3Live Session and Weekly Assignment
71

●ANCOVA 
●Normal Probability Plot 
●Q-QPlot 
●PP Plot


2

Creating New Variables
●Mean or Specific cut point values 
●Mean of Several Values 
●Sum of Variables


3Live Session and Assignment.
81

Creating New Variable 
●Standardized Variable |
●Mean of a continuous 
variable for each level of 
categorical variable
●String to a numerical value


2Course Review

3Live Session and Course Assignment


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Includes:
  • Beginner
  • Online class
  • 0 Lessons
  • Full lifetime access
  • Access on mobile and tv
  • Certificate after completion