NOVELTY POLYTECHNIC KISI OYO STATE
COURSE TITTLE: STATISTICS FOR COMPUTING II
COURSE CODE: COM 216
DEPARTMENT: COMPUTER SCIENCE
1. What does SPSS stand for?
a) Statistical Processing for Social Sciences
b) Statistical Package for Social Sciences
c) Systematic Processing for Social Studies
d) Statistical Program for Software Studies
Answer: b) Statistical Package for Social Sciences
2. Which company acquired SPSS in 2009?
a) Microsoft
b) Google
c) IBM
d) Oracle
Answer: c) IBM
3. What is PSPP?
a) A paid alternative to SPSS
b) A free, open-source statistical analysis tool
c) A programming language
d) A type of database software
Answer: b) A free, open-source statistical analysis tool
4. Which of the following is NOT a core functionality of SPSS?
a) Text analysis
b) Image processing
c) Predictive modeling
d) Data visualization
Answer: b) Image processing
5. What is the primary limitation of SPSS?
a) It cannot analyze qualitative data
b) It lacks statistical functions
c) It cannot handle big datasets
d) It is not user-friendly
Answer: c) It cannot handle big datasets
6. What is the first step in creating a dataset in PSPP?
a) Importing data
b) Entering variables
c) Performing analysis
d) Running tests
Answer: b) Entering variables
7. How do you switch from Data View to Variable View in PSPP?
a) Press Ctrl + V
b) Click on the "Variable View" tab
c) Restart the program
d) Open a new dataset
Answer: b) Click on the "Variable View" tab
8. How do you save a dataset in PSPP?
a) Click File → Save
b) Press Ctrl + X
c) Click Edit → Save As
d) Close the program
Answer: a) Click File → Save
9. What is a value label in PSPP?
a) A numerical calculation
b) A graphical representation of data
c) A name assigned to numerical values
d) A type of software function
Answer: c) A name assigned to numerical values
10. Which of the following statistical tests can both SPSS and PSPP perform?
a) Neural network modeling
b) Descriptive statistics
c) Image recognition
d) Web scraping
Answer: b) Descriptive statistics
11. What is univariate analysis used for?
a) Analyzing multiple dependent variables
b) Studying the effects of an independent variable on a single dependent variable
c) Comparing two datasets
d) Predicting outcomes
Answer: b) Studying the effects of an independent variable on a single dependent variable
12. Which of the following is NOT a measure used in univariate analysis?
a) Mean
b) Median
c) Histogram
d) Mode
Answer: c) Histogram
13. Which menu in SPSS allows you to perform frequency analysis?
a) Data
b) Analyze
c) File
d) Tools
Answer: b) Analyze
14. Which type of graph is commonly used to visualize frequency distributions?
a) Pie chart
b) Histogram
c) Scatter plot
d) Line graph
Answer: b) Histogram
15. What is the purpose of the Frequencies window in SPSS?
a) To delete datasets
b) To analyze variables individually
c) To create pivot tables
d) To format charts
Answer: b) To analyze variables individually
16. What does bivariate analysis involve?
a) One independent variable
b) Two dependent variables
c) Three or more variables
d) No statistical relationships
Answer: b) Two dependent variables
17. Which test is commonly used in bivariate analysis?
a) Chi-square
b) Neural network
c) Logistic regression
d) Fourier transform
Answer: a) Chi-square
18. What is the first step in performing a bivariate analysis in SPSS?
a) Open the Crosstabs menu
b) Perform regression analysis
c) Create a new dataset
d) Import data
Answer: a) Open the Crosstabs menu
19. Where should the independent variable be placed in the Crosstabs window?
a) Rows
b) Columns
c) Output window
d) Data view
Answer: a) Rows
20. What statistical relationship does the chi-square test measure?
a) Relationship between categorical variables
b) Relationship between numerical variables
c) Relationship between time series
d) Relationship between images
Answer: a) Relationship between categorical variables
21. What is regression analysis used for?
a) Predicting numerical outcomes
b) Analyzing categorical data
c) Formatting text in a dataset
d) Sorting variables
Answer: a) Predicting numerical outcomes
22. How do you perform a linear regression in SPSS?
a) Click Analyze → Regression → Linear
b) Click Data → Sort Variables
c) Click File → Export
d) Click Edit → Undo
Answer: a) Click Analyze → Regression → Linear
23. Which type of regression is used for binary outcomes?
a) Linear regression
b) Logistic regression
c) Cluster analysis
d) ANOVA
Answer: b) Logistic regression
24. What does the regression output window display?
a) Regression coefficients
b) Graphs only
c) Tables only
d) Export options
Answer: a) Regression coefficients
25. Where should the dependent variable be placed in a regression model?
a) Dependent Variables box
b) Independent Variables box
c) Crosstabs window
d) Data view
Answer: a) Dependent Variables box
a. Here are additional multiple-choice questions continuing from question 26 to 50:
26. What is multivariate analysis used for?
a) Analyzing more than one statistical outcome variable at a time
b) Studying a single variable
c) Formatting text in datasets
d) Deleting redundant data
Answer: a) Analyzing more than one statistical outcome variable at a time
27. What is factor analysis primarily used for?
a) Reducing the number of variables in a dataset
b) Sorting numerical data
c) Deleting outliers
d) Formatting tables
Answer: a) Reducing the number of variables in a dataset
28. What is the first step in performing a factor analysis in SPSS?
a) Click Analyze → Factor Analysis
b) Click Data → Sort Variables
c) Click File → Export
d) Click Edit → Undo
Answer: a) Click Analyze → Factor Analysis
29. What is the purpose of rotation in factor analysis?
a) To make factor loadings more interpretable
b) To delete unnecessary variables
c) To sort data alphabetically
d) To change numerical values
Answer: a) To make factor loadings more interpretable
30. What is the primary benefit of using the PSPP software?
a) It is free and open-source
b) It is more expensive than SPSS
c) It has fewer features than SPSS
d) It only runs on Windows
Answer: a) It is free and open-source
31. How can you copy tables from PSPP to Microsoft Word?
a) Export as an OpenDocument file
b) Copy directly from the output window
c) Use a screenshot
d) Save as a CSV file
Answer: a) Export as an OpenDocument file
32. What is the main difference between univariate and bivariate analysis?
a) The number of variables analyzed
b) The type of software used
c) The dataset size
d) The use of regression models
Answer: a) The number of variables analyzed
33. What is the purpose of recoding variables in SPSS?
a) To create new variables with modified values
b) To delete unnecessary data
c) To increase dataset size
d) To perform image analysis
Answer: a) To create new variables with modified values
34. Where do you go to recode variables in SPSS?
a) Transform → Recode into Different Variables
b) File → Open
c) Edit → Find
d) Data → Merge Files
Answer: a) Transform → Recode into Different Variables
35. What does a chi-square test measure?
a) Association between categorical variables
b) Difference in means between groups
c) Correlation between numerical variables
d) Predictive accuracy of a model
Answer: a) Association between categorical variables
36. What is a key assumption of linear regression?
a) The relationship between variables is linear
b) Data must be non-numeric
c) There must be exactly three variables
d) Data should contain missing values
Answer: a) The relationship between variables is linear
37. What type of graph is commonly used for regression analysis?
a) Scatter plot
b) Pie chart
c) Histogram
d) Bar chart
Answer: a) Scatter plot
38. What does ANOVA stand for?
a) Analysis of Variance
b) Automatic Numeric Optimization of Variables
c) Applied Numerical Operations for Variables Analysis
d) Advanced Neural Optimization for Variance Analysis
Answer: a) Analysis of Variance
39. Which function in SPSS allows you to perform descriptive statistics?
a) Analyze → Descriptive Statistics
b) File → Export
c) Edit → Delete Variables
d) Data → Sort Cases
Answer: a) Analyze → Descriptive Statistics
40. What is the key advantage of using SPSS over manual statistical calculations?
a) It automates complex calculations and analysis
b) It is free to use
c) It does not require a computer
d) It only works with small datasets
Answer: a) It automates complex calculations and analysis
41. What is the primary purpose of a correlation analysis?
a) To measure the relationship between two variables
b) To predict future values
c) To count the frequency of occurrences
d) To format datasets for analysis
Answer: a) To measure the relationship between two variables
42. What does a correlation coefficient of 1 indicate?
a) A perfect positive relationship
b) A perfect negative relationship
c) No relationship
d) Data error
Answer: a) A perfect positive relationship
43. What type of test is used to compare means between two groups?
a) T-test
b) Chi-square test
c) Factor analysis
d) Scatter plot
Answer: a) T-test
44. What is the purpose of using a histogram in statistics?
a) To visualize frequency distribution
b) To display numerical calculations
c) To list categorical data
d) To perform regression analysis
Answer: a) To visualize frequency distribution
45. What is the default output format for exporting results in SPSS?
a) .sav
b) .csv
c) .xlsx
d) .pdf
Answer: a) .sav
46. What is the difference between parametric and non-parametric tests?
a) Parametric tests assume normal distribution, non-parametric tests do not
b) Non-parametric tests are more accurate than parametric tests
c) Parametric tests only work with categorical data
d) Non-parametric tests require large datasets
Answer: a) Parametric tests assume normal distribution, non-parametric tests do not
47. What is a scatter plot used for?
a) Showing relationships between two numerical variables
b) Comparing categorical data
c) Displaying hierarchical data
d) Formatting tables
Answer: a) Showing relationships between two numerical variables
48. What is the significance level commonly used in hypothesis testing?
a) 0.05
b) 1.0
c) 0.5
d) 5.0
Answer: a) 0.05
49. What does the p-value in hypothesis testing indicate?
a) The probability that the null hypothesis is true
b) The sample size used
c) The total number of observations
d) The mean of the dataset
Answer: a) The probability that the null hypothesis is true
50. What happens if the p-value is less than 0.05?
a) The null hypothesis is rejected
b) The null hypothesis is accepted
c) The dataset is invalid
d) The variables are unrelated
Answer: a) The null hypothesis is rejected
