
Marginal and Conditional Distributions Quiz

Quiz
•
Mathematics
•
1st Grade
•
Medium
MUTHULAKSHMI M
Used 1+ times
FREE Resource
10 questions
Show all answers
1.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the definition of marginal distribution?
The probability distribution of the variables contained in the subset.
The distribution of variables in a controlled experiment
The distribution of variables in the entire population
The distribution of variables in a random sample
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the definition of conditional distribution?
The probability distribution of a subset of data, given that a certain condition is met.
The distribution of data without any conditions
The distribution of unconditional data
The distribution of data based on random chance
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If we have a table showing the number of boys and girls in a class, what type of distribution are we looking at?
Exponential distribution
Poisson distribution
Bivariate distribution
Normal distribution
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If we have a table showing the number of students who like different colors based on their gender, what type of distribution are we looking at?
Exponential distribution
Poisson distribution
Categorical distribution
Normal distribution
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a conditional distribution, what do we consider as the condition?
The average value of the data
The variable or event that we are using to divide the data into subgroups for analysis
The total number of observations
The highest value in the data
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If we have a table showing the number of students who like different sports based on their age group, what type of distribution are we looking at?
Normal distribution
Poisson distribution
Uniform distribution
Categorical distribution
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of finding marginal distributions?
To hide the relationship between variables
To mix all the variables together
To understand the individual behavior of each variable in a dataset.
To confuse the data
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