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 |
| Exam Format: | Multiple Choice |
| Available Languages: | English |
| Exam Price: | USD 200 |
| Exam Duration: | 90 minutes |
| Real Exam Qty: | 55 |
| Certificate Validity Period: | 3 years |
| Passing Score: | 67% (37 out of 55) |
| Recommended Training: | IBM SPSS Statistics Essentials |
| Exam Registration: | Pearson VUE IBM Exam Registration IBM Certification Portal |
| 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 |
|---|---|---|
| Topic 1: Output: Editing and Exploring | 7% | - Pivot tables and output management - Exporting results and OMS usage - Creating and editing charts |
| Topic 2: Reading and Defining Data | 16% | - Handling data types and formats - Importing and reading datasets - Defining variable properties |
| Topic 3: Operations / Running IBM SPSS Statistics | 15% | - General interface and navigation - Syntax editor and command usage - Software settings and preferences |
| Topic 4: Data Understanding / Descriptives | 9% | - Means and summary procedures - Crosstabs and dispersion measures - Frequencies and descriptive statistics |
| Topic 5: Basic Inferential Statistics | 22% | - Correlation analysis - T-tests and sample analysis - Chi-square tests - Linear regression - Statistical error and interpretation |
| Topic 6: Data Management | 15% | - Selecting and splitting files - Identifying and removing duplicates - Adding and aggregating cases |
| Topic 7: Data Transformations | 16% | - Creating categorical variables - Counting values across variables/cases - Conditional operations - Computing and recoding variables |
SPSS IBM SPSS Statistics Certification Level 1 (formerly PASW Statistics) Sample Questions:
1. Consider the AGE in the data file below. You have been asked to use this in cross tabulation with GENDER. How would you proceed? (Select all that apply)
A) Use Visual Binning to create a categorical equivalent for AGE and run Frequencies
B) Go to Analyze ... Descriptive Statistics ... Crosstabs .... specify the variables and click OK
C) Use Visual Binning to create a categorical equivalent for AGE and proceed as per Option A above
D) Use Recode into Different Variables ... to create a categorical equivalent to AGE and proceed as per option A
2. If you are exporting output to Microsoft Office PowerPoint format, how is each item represented in the resulting PowerPoint file?
A) Output items are fit to PowerPoint slides such that each PowerPoint slide contains as many output items that will fit on the slide
B) Each exported item is placed on a separate PowerPoint slide
C) All output items appear in one PowerPoint slide.
D) AJI PowerPoint slides will have two output items each, regardless of size
3. Consider the data file below and answer the following: the calculation of means of variables X, Y, Z, is contained in the variable AV_XYZ. What method was used to calculate the mean?
A) The Compute Variable dialog and the expression MEAN (X.Y.Z)
B) The Compute Variable dialog and the expression (X+Y+Z)/3
C) The Compute Variable dialog and the expression X+Y+Z/3
D) The Compute Variable dialog and the expression MEAN, 2(X.Y, Z)
4. Which statement is true about IQR (interquartile range)? (Select all that apply)
A) It indicates whether the variable is normally distributed or not
B) It is the range between the values at the 25th and 75th percentile
C) It is used to measure the spread of the data E B.
D) It is equal to the mode
5. A paired samples t-test is different from an independent t-test because it:
A) compares groups on correlations
B) assesses each person twice
C) compares groups on means
D) compares groups on variances
Solutions:
| Question # 1 Answer: B,C,D | Question # 2 Answer: B | Question # 3 Answer: D | Question # 4 Answer: A,B,C | Question # 5 Answer: A |
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