Explain the steps involved in the model and how you created this model for making statistical decisions. What were the easiest and most difficult parts of this process?1. Determine the Type of Data: Is your data categorical or continuous? Categorical: Data that can be divided into groups or categories (e.g., gender, yes/no responses). Continuous: Data that can take any value within a range (e.g., height, weight, temperature). 2. Number of Groups or Samples: How many groups or samples are you comparing? One group/sample Two groups/samples More than two groups/samples 3. Type of Comparison: Are you comparing means, proportions, or relationships? Means: Average values of continuous data. Proportions: Ratios or percentages of categorical data. Relationships: Associations or correlations between variables. 4. Distribution of Data: Is your data normally distributed? Yes No 5. Paired or Independent Samples: Are your samples paired or independent? Paired: Same subjects measured twice (e.g., before and after treatment)