Prepare with SPSS : IBMSPSSSTATL1P exam braindumps as your best preparation materials
Updated: Aug 09, 2026
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SPSS IBMSPSSSTATL1P Exam Overview:
| Certification Vendor: | IBM |
| Exam Name: | IBM SPSS Statistics Certification Level 1 (formerly PASW Statistics) / IBM SPSS Statistics Level 1 v2 |
| Exam Number: | IBMSPSSSTATL1P / C2090-011 |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple Choice |
| Passing Score: | 67% (37 out of 55) |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 55 |
| Exam Price: | USD 200 |
| Recommended Training: | IBM SPSS Statistics Essentials |
| Exam Registration: | IBM Certification Portal Pearson VUE IBM Exam Registration |
| Sample Questions: | SPSS IBMSPSSSTATL1P Sample Questions |
| Exam Way: | Onsite at Pearson VUE test centers / Online proctored (where available) |
| Pre Condition: | Working knowledge of IBM SPSS Statistics version 15 or higher; no mandatory prerequisites |
| Official Syllabus URL: | https://www.ibm.com/training/certification/ibm-certified-specialist-spss-statistics-level-1-v2-47100102 |
SPSS IBMSPSSSTATL1P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Management | 15% | - Identifying and removing duplicates - Selecting and splitting files - Adding and aggregating cases |
| Data Transformations | 16% | - Counting values across variables/cases - Creating categorical variables - Computing and recoding variables - Conditional operations |
| Reading and Defining Data | 16% | - Defining variable properties - Handling data types and formats - Importing and reading datasets |
| Operations / Running IBM SPSS Statistics | 15% | - Software settings and preferences - General interface and navigation - Syntax editor and command usage |
| Data Understanding / Descriptives | 9% | - Means and summary procedures - Crosstabs and dispersion measures - Frequencies and descriptive statistics |
| Basic Inferential Statistics | 22% | - Chi-square tests - Statistical error and interpretation - Linear regression - T-tests and sample analysis - Correlation analysis |
| Output: Editing and Exploring | 7% | - Pivot tables and output management - Exporting results and OMS usage - Creating and editing charts |
SPSS IBM SPSS Statistics Certification Level 1 (formerly PASW Statistics) Sample Questions:
1. If you request an aggregate dataset or data file in the Aggregate procedure, the number of cases in the new aggregated file is equal to what?
A) Number of aggregated summary variables.
B) Number of categories of the variables specified in the Break Variables list
C) Number of cases in the original data file.
D) Number of cases that you specified in the Aggregate Data dialogue box
2. The table below shows statistics for two variables. True or false: all people having a valid value for the variable AGE WHWN FIRST MARRIED also have the valid value for the variable AGE OF RESPONDENT.
A) False
B) True
3. Which interpretation is correct for this Regression output?
A) We have a non-statistically significant model that accounts for 70% of the variation in the dependent variable.
B) We have a non-statistically significant model that accounts for 49% of the variation in the dependent variable.
C) We have a statistically significant model that accounts for 49% of the variation in the dependent variable.
D) We have a statistically significant model that accounts for 7Q% of the variation in the dependent variable.
4. Which interpretation is correct for this Regression Coefficients table?
A) For every additional year that you get folder, your beginning salary decreases on average by $ 13.
B) For every additional year that you get folder, your beginning salary increases on average by $ 13.
C) For every additional year that you get folder, your beginning salary decreases on average by $ 35.9.
D) For every additional year that you get folder, your beginning salary increases on average by $35.9
5. What statistics test should be used to assess whether the percentage differences observed in crosstabs table have occurred by chance?
A) Correlation
B) T-Test
C) Linear Regression
D) Chi-Square test of independence
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: D |
SPSS IBMSPSSSTATL1P Exam Overview:
| Certification Vendor: | IBM |
| Exam Name: | IBM SPSS Statistics Certification Level 1 (formerly PASW Statistics) / IBM SPSS Statistics Level 1 v2 |
| Exam Number: | IBMSPSSSTATL1P / C2090-011 |
| Available Languages: | English |
| Certificate Validity Period: | 3 years |
| Exam Format: | Multiple Choice |
| Passing Score: | 67% (37 out of 55) |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 55 |
| Exam Price: | USD 200 |
| Recommended Training: | IBM SPSS Statistics Essentials |
| Exam Registration: | IBM Certification Portal Pearson VUE IBM Exam Registration |
| Sample Questions: | SPSS IBMSPSSSTATL1P Sample Questions |
| Exam Way: | Onsite at Pearson VUE test centers / Online proctored (where available) |
| Pre Condition: | Working knowledge of IBM SPSS Statistics version 15 or higher; no mandatory prerequisites |
| Official Syllabus URL: | https://www.ibm.com/training/certification/ibm-certified-specialist-spss-statistics-level-1-v2-47100102 |
SPSS IBMSPSSSTATL1P Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Data Management | 15% | - Identifying and removing duplicates - Selecting and splitting files - Adding and aggregating cases |
| Data Transformations | 16% | - Counting values across variables/cases - Creating categorical variables - Computing and recoding variables - Conditional operations |
| Reading and Defining Data | 16% | - Defining variable properties - Handling data types and formats - Importing and reading datasets |
| Operations / Running IBM SPSS Statistics | 15% | - Software settings and preferences - General interface and navigation - Syntax editor and command usage |
| Data Understanding / Descriptives | 9% | - Means and summary procedures - Crosstabs and dispersion measures - Frequencies and descriptive statistics |
| Basic Inferential Statistics | 22% | - Chi-square tests - Statistical error and interpretation - Linear regression - T-tests and sample analysis - Correlation analysis |
| Output: Editing and Exploring | 7% | - Pivot tables and output management - Exporting results and OMS usage - Creating and editing charts |
SPSS IBM SPSS Statistics Certification Level 1 (formerly PASW Statistics) Sample Questions:
1. If you request an aggregate dataset or data file in the Aggregate procedure, the number of cases in the new aggregated file is equal to what?
A) Number of aggregated summary variables.
B) Number of categories of the variables specified in the Break Variables list
C) Number of cases in the original data file.
D) Number of cases that you specified in the Aggregate Data dialogue box
2. The table below shows statistics for two variables. True or false: all people having a valid value for the variable AGE WHWN FIRST MARRIED also have the valid value for the variable AGE OF RESPONDENT.
A) False
B) True
3. Which interpretation is correct for this Regression output?
A) We have a non-statistically significant model that accounts for 70% of the variation in the dependent variable.
B) We have a non-statistically significant model that accounts for 49% of the variation in the dependent variable.
C) We have a statistically significant model that accounts for 49% of the variation in the dependent variable.
D) We have a statistically significant model that accounts for 7Q% of the variation in the dependent variable.
4. Which interpretation is correct for this Regression Coefficients table?
A) For every additional year that you get folder, your beginning salary decreases on average by $ 13.
B) For every additional year that you get folder, your beginning salary increases on average by $ 13.
C) For every additional year that you get folder, your beginning salary decreases on average by $ 35.9.
D) For every additional year that you get folder, your beginning salary increases on average by $35.9
5. What statistics test should be used to assess whether the percentage differences observed in crosstabs table have occurred by chance?
A) Correlation
B) T-Test
C) Linear Regression
D) Chi-Square test of independence
Solutions:
| Question # 1 Answer: C | Question # 2 Answer: B | Question # 3 Answer: C | Question # 4 Answer: D | Question # 5 Answer: D |
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