Data Science

Types of Questions

Question 1
Marks : +2 | -2
Pass Ratio : 100%
Which of the following command help us to give message description?
git command -m
git command -d
git command -message
none of the mentioned
Explanation:
This only updates your local repository.
Question 2
Marks : +2 | -2
Pass Ratio : 100%
Point out the correct statement.
Exploratory analyses are not usually the final way
Inferential models are useful for discovering new connection
Inference involves estimating uncertainty
All of the mentioned
Explanation:
Statistical inference is the process of deducing properties of an underlying distribution by analysis of data.
Question 3
Marks : +2 | -2
Pass Ratio : 100%
Which of the following relationship are usually identified as average effects?
Descriptive
Causal
Predictive
None of the mentioned
Explanation:
A correlation is a measure or degree of relationship between two variables.
Question 4
Marks : +2 | -2
Pass Ratio : 100%
Point out the wrong statement.
Exploratory analyses are usually the final way
Exploratory models are useful for discovering new connection
Exploratory analysis alone should not be used for predicting
All of the mentioned
Explanation:
Exploratory analyses are usually not the final way.
Question 5
Marks : +2 | -2
Pass Ratio : 100%
Which of the following analysis is usually modeled by deterministic set of equations?
Predictive
Causal
Mechanistic
All of the mentioned
Explanation:
Equations are based on physical/engineering science.
Question 6
Marks : +2 | -2
Pass Ratio : 100%
Which of the following analysis should come in place of question mark in the below figure?
Inferential
Exploratory
Causal
None of the mentioned
Explanation:
Inferential statistics is concerned with making predictions or inferences about a population from observations and analyses of a sample.
Question 7
Marks : +2 | -2
Pass Ratio : 100%
Which of the following model is usually a gold standard for data analysis?
Inferential
Descriptive
Causal
All of the mentioned
Explanation:
A causal model is an abstract model that describes the causal mechanisms of a system.
Question 8
Marks : +2 | -2
Pass Ratio : 100%
Accurate prediction depends heavily on measuring the right variables.
True
False
Explanation:
Prediction is very hard, especially for future references.
Question 9
Marks : +2 | -2
Pass Ratio : 100%
Causal analysis is commonly applied to census data.
True
False
Explanation:
Descriptive analysis is commonly applied to census data.
Question 10
Marks : +2 | -2
Pass Ratio : 100%
Which of the following is more applicable to the below figure?
Descriptive
Causal
Predictive
None of the mentioned
Explanation:
Google trends helps to describe the set of data.