When identifying business problems, what is the first step a data analyst should take to ensure clarity and effectiveness in solving the problem?
In data transformation, what is the primary purpose of standardization?
In descriptive statistics, what is the main advantage of using the median over the mean as a measure of central tendency in data analysis?
Which method would be most effective in identifying the relationship strength between two continuous variables?
Which of the following is a key difference between random sampling and non-random sampling?
Which of the following is an example of an independent variable in a data analysis model that predicts employee productivity based on training hours?
During the data analysis process, which of the following steps is primarily focused on removing inaccuracies and ensuring the dataset's reliability?
Which of the following forecasting methods would be most suitable for a time series that exhibits both a long-term trend and seasonality?
Which of the following is not a measure of central tendency?
In data cleaning, which technique is most effective in handling outliers in a dataset that could skew analysis?
