Question

help you answer that question with a certain level of confidence. what is the first step in the analytical workflow and why? visualize your data because it may reveal properties of the data your statistical analysis might miss visualize your data because this will prove or disprove your hypothesis build your model because showing the relationship between dependent and independent variables will prove or disprove your hypothesis check your assumptions because violating these assumptions can lead us to draw incorrect conclusions from our data

Explanation:

• Analyzing each option:
• Option 1: Visualizing data first is valid as data visualization can reveal patterns, outliers, or distributions that statistical analysis (like summary stats) might miss. For example, a histogram can show skewness, while mean/median alone might not capture that.
• Option 2: Visualization doesn't "prove or disprove" a hypothesis—hypothesis testing (statistical tests) or model evaluation does that. Visualization is exploratory, not confirmatory in that sense.
• Option 3: Building a model is not the first step. You need to understand the data (via visualization, exploration) before modeling.
• Option 4: Checking assumptions is part of model validation, which comes after data exploration and model building, not first.
• So the correct reasoning is in the first option: Visualize your data because it may reveal properties of the data your statistical analysis might miss.

Answer:

Visualize your data because it may reveal properties of the data your statistical analysis might miss