HSBC Electronic Data Processing Assistant Manager Interview Questions, Process, and Tips

Confidence interval of an estimator is a range of values that is likely to contain the true value of the parameter being estimated.

• Confidence interval provides a range of values within which we are confident the true parameter value lies.

• It is calculated based on the sample data and the desired level of confidence.

• For example, a 95% confidence interval for the mean weight of a population would be a range of values with...read more

Logistic regression works by calculating the probability of each class and assigning the observation to the class with the highest probability.

• Logistic regression calculates the probability of each class using the logistic function.

• The model then assigns the observation to the class with the highest probability.

• It is commonly used for binary classification, but can be extended to multiple classes using techniques like

I handle missing values by identifying them, deciding on a strategy (imputation or deletion), and documenting the process.

• Identify missing values by checking for null values or using descriptive statistics.

• Decide on a strategy for handling missing values such as imputation (mean, median, mode) or deletion (row or column).

• Document the process of handling missing values to ensure transparency and reproducibility.

Creating a SAS macro involves defining the macro, assigning parameters, and executing the macro.

• Define the macro using %macro macro_name(parameters);

• Assign parameters using ¶meter_name.

• Execute the macro using %macro_name(parameter_values);