please make the answers clear and don't copy and Paste from google

A2.1 Outliers are observations that appear to be unusually distant from the majority of the data. (See Text, Figure 3.7). For a random sample of n=100 subjects, explain whether, or not, you would expect outliers to occur in the following situations. [ Explain = Give reasons ] a) Heights of college students at MSU b) Income of NJ residents living in Bergen County A22 Explain the difference between a Quantitative (numeric) variable and a Categorical variable. A2.3 Should AGE (in years) always be considered as an Ordinal variable ? Explain why and why not. [ Give examples of both cases ] A2.4 Suppose we estimate missing values by using the average of the nonmissing responses for a quantitative variable. Is this reasonable or not ? Explain [Average = Sum of (nonmissing) Responses / Number of (nonmissing) Responses] A2 .5 Why are Auxiliary variables useful ? Explain