Imagine you are working with a data set that includes survey responses on a 1-5 scale (1=Very Unsatisfied, 5=Very Satisfied). How would you classify this data type?
- Continuous data
- Interval data
- Nominal data
- Ordinal data
This type of data is ordinal because the ratings exist on an arbitrary scale where the rank order (1-5) is significant, but the precise numerical differences between the scale values are not.
Loading...
Related Quiz
- A data scientist is working on a dataset with multiple categories and subcategories. What data visualization techniques can be used to ensure the readability and aesthetics of the data presentation?
- Imagine you're dealing with a classification model. The dataset has a significant amount of missing data that was replaced with the mean. How could this decision have impacted the model's performance?
- In a longitudinal study on childhood development, some data points are missing randomly due to logistical issues during data collection. How would you classify this missing data?
- When data is normally distributed, approximately 95% of the data falls within ________ standard deviations of the mean.
- Outliers can potentially _______ the interpretation of the data.