Question

Explain what is imputation? List out different types of imputation techniques?

a. Imputation is the process of assigning a missing value based on other observed values in the dataset.
b. Imputation is the removal of outliers from a dataset.
c. Imputation is a technique for data encryption.
d. Imputation is a statistical test for hypothesis testing.

Answer 1

Imputation is the process of assigning a missing value based on other observed values in the dataset. Common imputation techniques include mean imputation, regression imputation, and hot deck imputation.

Step-by-step explanation:

Imputation is the process of assigning a missing value based on other observed values in the dataset. It is a common technique used in statistics to handle missing data. There are several types of imputation techniques:

1. Mean imputation: In this method, missing values are replaced with the mean value of the available data.
2. Regression imputation: This technique involves using regression analysis to predict missing values based on the relationship between variables.
3. Hot deck imputation: In this approach, missing values are replaced with values from similar observations in the dataset.