Informatics Practices
Assertion. A quantile refers to equally distributed portion of a data set.
Reason. A median divides a distribution in 2 quantiles while a quartile divides a distribution in 4 quantiles.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.
Answer
Both A and R are true and R is the correct explanation of A.
Explanation
Quantile is a statistical term that refers to dividing the total distribution of given data into a given number of equal proportions. Each portion is called a quantile, and it represents a specific percentage of the data set. The median divides a distribution into two equal parts, representing the middle value of a data set when the data is sorted in ascending order. A quartile divides a distribution into four equal parts, with each quartile representing 25% of the data set.
Related Questions
The fillna() can also fill individual missing values for different columns.
To drop missing values from a DataFrame, the function used is delna().
Assertion. Data aggregation produces a summary statistics of a dataset.
Reason. Data aggregation summarizes data using statistical aggregation functions.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.
Assertion. In a dataset, there can be missing values that cannot contribute to any computation.
Reason. In a dataset, NULL, NaN or None are considered the missing values.
- Both A and R are true and R is the correct explanation of A.
- Both A and R are true but R is not the correct explanation of A.
- A is true but R is false.
- A is false but R is true.