Data Science

Types of Questions

Question 1
Marks : +2 | -2
Pass Ratio : 100%
Point out the correct statement.
Descriptive analysis can be more useful for defining future studies
Correlation does imply causation
Inference is commonly the goal of statistical model
None of the mentioned
Explanation:
Inference depends heavily on the sampling scheme.
Question 2
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 3
Marks : +2 | -2
Pass Ratio : 100%
Which of the following analysis helps out to find the effect of variable change?
Inferential
Exploratory
Causal
None of the mentioned
Explanation:
Causal Analysis provides the real reason why things happen and hence allows focused change activity.
Question 4
Marks : +2 | -2
Pass Ratio : 100%
Which of the following type of data science question is missing in the figure?
Correlative
Exploratory
Relative
None of the mentioned
Explanation:
Exploratory analysis is used to find relationships about you didn’t know about.
Question 5
Marks : +2 | -2
Pass Ratio : 100%
Which of the following allows you to find the relationship you didn’t about?
Inferential
Exploratory
Causal
None of the mentioned
Explanation:
In statistics, exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods.
Question 6
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 7
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 8
Marks : +2 | -2
Pass Ratio : 100%
Which of the following uses data on some object to predict values for other object?
Inferential
Exploratory
Predictive
None of the mentioned
Explanation:
A prediction is a forecast, but not only about the weather.
Question 9
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 10
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.