Descriptive statistics

Posted on by Leakey
  1. We have begun our analysis of whether a dataset is appropriate for analysis. The first step was to evaluate whether there was a continuous numeric variable. This allowed us to run appropriate summary statistics. We have provided the definitions of some of the summary statistics in Table 1. We obtained the descriptive statistics by running characterize data in SAS (Table 2.), summary statistics in SAS (Table 3.), and descriptive statistics in Excel (Table 4.).
  2. In this paragraph, briefly discuss how many numeric attributes were in the data. There is one attribute that has missing data identify how many records are missing data and reference the tables that provided the information. What are the implications of missing data?
  3. In this paragraph, briefly discuss which type is the most common from Figure 1. If you needed 100 records to evaluate the data would the most frequent type be an appropriate set of data?
  4. In this paragraph, briefly if there are outliers in MSRP from Figure 2. If there are outliers what would you think they represent Economy or Luxury cars?
  5. In this paragraph make a recommendation to use the data or not. Does it have numeric data? Are there more than 100 records without missing data? What would you include the outliers?

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