Practice Free PCED-30-01 Exam Online Questions
What is the difference between regression and classification in data modeling?
- A . Regression predicts continuous values, while classification predicts discrete categories
- B . Regression predicts discrete categories, while classification predicts continuous values
- C . Regression and classification are the same
- D . Regression cannot be applied to categorical data
Which of the following is an example of data transformation in pre-processing?
- A . Converting categorical variables into numerical ones
- B . Removing outliers from the dataset
- C . Calculating the mean and standard deviation
- D . Visualizing correlation between variables
What type of analysis is used to examine relationship between two continuous variables in statistical analysis?
- A . Regression analysis
- B . ANOVA
- C . Chi-square test
- D . Factor analysis
What does the ‘if’ statement do in Python?
- A . Loops through a block of code as long as a specified condition is true
- B . Executes a block of code only if a specified condition is true
- C . Terminates the execution of a loop in Python
- D . Declares a new function in Python
When interpreting a confidence interval, a wider interval indicates:
- A . Greater precision in the estimate
- B . Lower confidence in the estimate
- C . Less variability in the data
- D . Higher likelihood of Type I error
What type of plot is best used for showing the relationship between two continuous variables?
- A . Bar chart
- B . Line plot
- C . Scatter plot
- D . Pie chart
What is the purpose of the chi-square test in statistical analysis?
- A . To compare means of two independent groups
- B . To test the association between categorical variables
- C . To analyze variance among multiple groups
- D . To test for normality of data
Which of the following is a popular online platform for creating interactive data visualizations and dashboards?
- A . Tableau
- B . Excel
- C . Power BI
- D . Google Sheets
What is the purpose of cross-validation in data analysis and modeling?
- A . To train a model on the entire dataset
- B . To overfit the model to the training data
- C . To validate the model’s performance on unseen data
- D . To remove outliers from the dataset
What is the goal of feature selection in data modeling?
- A . To add more noise to the data
- B . To reduce the complexity of the model
- C . To overfit the model
- D . To increase the accuracy of the model