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Introduction to Statistics AIML Flashcards | StudBud
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Introduction to Statistics AIML
Introduction to Statistics AIML
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Answers
1
Which of these is NOT a probability distribution?
Binomial
Linear
Normal
Poisson
2
Which statistical test helps determine if an observed effect is due to chance?
Classification
Regression
Hypothesis Testing
Correlation
3
Which type of statistics summarizes data features like mean and standard deviation?
Computational Statistics
Predictive Statistics
Inferential Statistics
Descriptive Statistics
4
What does the term ‘overfitting’ mean in machine learning?
Model is too simple
Model has no errors
Model predicts perfectly on new data
Model fits noise instead of pattern
5
What is the main purpose of statistics in AI and Machine Learning?
To build hardware
To write computer code
To generate random data
To analyze and interpret data correctly
6
In AI/ML, what is feature engineering?
Writing SQL queries
Selecting and transforming variables to improve model performance
Building physical robots
Collecting data from sensors
7
Which measure describes the spread or variability of data?
Mode
Mode
Median
Standard Deviation
8
What is the role of a confusion matrix in classification tasks?
Reduces feature dimensions
Measures model accuracy and errors
Visualizes data distribution
Creates training data
9
What is a sample in statistics?
A type of machine learning model
A subset of the population used for analysis
A computer program
The entire data population
10
Which Python library is commonly used for machine learning and statistical analysis?
React
NumPy
Scikit-learn
Flask