Statistical Analysis Using IBM SPSS Statistics
This course provides an application-oriented introduction to the statistical component of IBM SPSS Statistics. Students will review several statistical techniques and discuss situations in which they would use each technique, how to set up the analysis, as well as how to interpret the results. This includes a broad range of techniques for exploring and summarizing data, as well as investigating and testing relationships. Students will gain an understanding of when and why to use these various techniques as well as how to apply them with confidence, interpret their output, and graphically display the results.
Analyze and better understand your data, and solve complex business and research problems through a user-friendly interface.
Understand large and complex data sets quickly with advanced statistical procedures that help ensure high accuracy and quality decision making.
Training on how to enter data, define variables, design questionnaire forms and insert them into the SPSS Statistical program
Interpretation of results and how to write statistical reports accordingly
You will learn how to interpret the output of a number of different statistical tests
Who is this course for?
This course is designed for business professionals who want to know how to analyze data. You'll learn how to use IBM SPSS to draw accurate conclusions on your research.
Anyone seeking to increase their data analytic skills
Anyone who is considering purchasing IBM SPSS Statistics.
Familiarity with basic concepts in statistics, such as measurement levels, mean, and standard deviation.
Familiarity with the windows in IBM SPSS Statistics would be helpful.
IBM SPSS Statistics 26
Total number of hours: 21
Duration 7 days
Time: 15:00 – 18:00 pm
Language: English with Kurdish and Arabic support if needed.
After completing the training course, students receive a training certificate from MSELECT Academy
An interactive training methodology will be used during the training the participants will have;
Day 1: Data Handling
Creating SPSS data set.
Reading the data set from different
Defining the variable attributes.
Different levels of measure data (scale-ordinal-nominal).
Creating new variable.
Design Questionnaire in SPSS
Day 2: Univariate Data Analysis
Basic descriptive statistics.
Measures of central tendency: mean, median, mode.
Measures of dispersion: range, standard deviation, variance.
Frequency and distribution.
Other basic Univariate procedures:(Explore-Cross tabulation-chi-square) Reliability Test.
Day 3: Transformation the data
Computing new variable.
Recoding the variable.
Filtering the data.
Replace the missing data
Day 4: Graph and Chart
Normal Q-Q plot.
*Which of them should be used in different situations?
Day 5: Hypothesis Testing in SPSS
One sample t-test
Independent sample t-test
Paired sample t-test
Mean differences between group(s) -One Way ANOVA
Day 6: Correlation and Regression Analysis
Day 7: Multivariate Data Analysis
Total variance explained.
Must be made 7 working days before the start of the course. Payment can be made in cash, by bank transfer or through exchange offices.
How do I register?
You can register by emailing firstname.lastname@example.org with the following details:
Name of the course: