Students find these Class 9 AI MCQ Chapter 3 Math for AI Class 9 MCQ Online Test with Answers helpful for self-assessment and preparation.
Class 9 Math for AI MCQ
MCQ on Math for AI Class 9
Class 9 Math for AI MCQ – Math for AI MCQ Class 9
Multiple Choice Questions
Question 1.
The algorithm of the ______ type of AI model creates a mapping function from the supplied data.
(a) Clustering
(b) Classification
(c) AI models
(d) Regression
Answer:
(d) Regression
Question 2.
Classification & Clustering works on-
(a) Discrete data
(b) Continuous data
(c) Structured data
(d) Data set
Answer:
(a) Discrete data
Question 3.
The ANN is used for _______.
(a) Forecasting
(b) Route detection
(c) Character & voice recognition
(d) All of the above
Ans.
(d) All of the above
Question 4.
______ type of Neural network is based on learning from experience.
(a) Reinforcement learning
(b) Supervised learning
(c) Unsupervised learning
(d) Machine learning
Answer:
(a) Reinforcement learning
Question 5.
Feed-forward, Recurrent, stochastic, modular are the different———-of ANN.
(a) Types
(b) Uses
(c) Features
(d) Characteristics
Answer:
(a) Types
Question 6.
Which methodology is applied when creating an AI model?
(a) Rule based approach
(b) Machine learning approach
(c) Layers approach
(d) None of these
Answer:
(a) Rule based approach
Question 7.
Which layer of the following is responsible for gathering data and supplying it to the neural network?
(a) Input
(b) Hidden
(c) Output
(d) Last
Answer:
(a) Input
Question 8.
What kinds of datasets do neural networks typically employ to solve problems?
(a) Mentioned
(b) Visual
(c) Continuous
(d) Large
Answer:
(d) Large
Question 9.
Between the input and output layers, which layer is present?
(a) Middle
(b) Next
(c) Process
(d) Hidden
Answer:
(d) Hidden
Question 10
What kind of data does regression only operate with?
(a) Intermittent data
(b) Continuous data
(c) Partially linear data
(d) Step function data
Answer:
(b) Continuous data
Question 11.
Study of training computers so that computers can do things, that are currently done well by human beings are known as
a) Artificial Intelligence
b) Machine Learning
c) Deep Learning
d) Neural Network
Answer:
a) Artificial Intelligence
Question 12.
A kind of AI modelling where rules are defined by the developer is
a) Supervised Learning
b) Unsupervised Learning
c) Rule based Approach
d) None of these
Answer:
c) Rule based Approach
Question 13.
A kind of Machine learning technique based on feedback, and the model learns from its experience is
a) Supervised Learning
b) Unsupervised learning
c) Reinforcement learning
d) Clustering
Answer:
c) Reinforcement learning
Question 14.
Which of the following statement is incorrect?
a) Neural Network is based on basis of machine’s capability and working
b) Neural Network is used for large dataset
c) Neural network technique based on 3 layers
d) In neural network every mode is based on machine learning algorithm.
Answer:
a) Neural Network is based on basis of machine’s capability and working
Question 15.
Using this technique dataset with higher dimension is converted into lower dimensions is known as
a) Clustering
b) Dimensionality reduction
c) Rule based approach
d) Learning based approach
Answer:
b) Dimensionality reduction
Question 16.
If you are to throw an arrow to this pie chart, in which color is the arrow more likely to fall?
a) Red
b) Blue
c) Yellow
d) Green
Answer:
b) Blue
Question 17
If you select a balloon without looking, how likely is it that you will pick a blue one?
a) Probable
b) Certain
c) Unlikely
d) Impossible
Answer:
c) Unlikely
Question 18.
With one throw of a 6-sided die, what’s the probability of getting an even number?
a) 1 / 5
b) 2 / 5
c) 5 / 6
d) 1 / 2
Answer:
d) 1 / 2
Question 19.
Which of the following is an equation?
a) 2x + 5
b) x + 2 = 4x
c) x^2 + 2x
d) 5 + 5x + 5 x^2
Answer:
b) x + 2 = 4x
Question 20.
What is the value of x ? 10 x-8=6 x
a) 8
b) 4
c) 2
d) 6
Answer:
c) 2
Question 21.
Which two are examples of descriptive statistics?
a) Median and correlation.
b) Mean and standard deviation.
c) Mode and regression analysis.
d) Variance and Hypothesis testing.
Answer:
b) Mean and standard deviation.
Question 22.
What is the probability of getting head when you toss a coin once?
a) 0.75
b) 1
c) 0
d) 0.5
Answer:
d) 0.5
Question 23.
The median of the data: 155,160,145,149,150,147,152,144,148 is
a) 149
b) 150
c) 147
d) 144
Answer:
a) 149
Assertion-Reasoning type Questions
Study the two statements labeled as assertion (a) and reason (r). Point out if:
(a) Both, a and r, are true and r is the correct explanation of a
(b) Both, a and r, are true but r is not the correct explanation of a
(c) If a is true but r is false
(d) If a is false but r is true
Question 1.
Assertion (A): In a normal distribution, about 68 % of the data lies within one standard deviation of the mean.
Reason (R): The normal distribution is symmetric about its mean.
Answer:
(a) Both, a and r, are true and r is the correct explanation of a
Question 2.
Assertion (A): In probability, two events are said to be independent if the occurrence of one affects the occurrence of the other.
Reason (R): If two events are independent, the probability of both occurring together is the product of their individual probabilities.
Answer:
(b) Both, a and r, are true but r is not the correct explanation of a
Question 3.
Assertion(A): The variance of a dataset is the square of the standard deviation.
Reason(R): Variance measures the spread of the data around the mean.
Answer:
(c) If a is true but r is false
Question 4.
Assertion(A): A high p-value in a hypothesis test indicates strong evidence against the null hypothesis.
Reason(R): A p-value represents the probability of obtaining the observed data, or more extreme data, assuming the null hypothesis is true.
Answer:
(d) If a is false but r is true
Question 5.
Assertion(A): The law of large numbers states that as the number of trials increases, the empirical probability of an event approaches its theoretical probability.
Reason(R): The law of large numbers ensures that with a larger sample size, the sample mean will be closer to the population mean.
Answer:
(a) Both, a and r, are true and r is the correct explanation of a