In the video pair over distributions, you referred to test scores as continuous. While they can be non-integer, they are not continuous. A test score is based on a ratio of correct questions to total questions. Since the number of total questions is finite, the scores are discrete. Even if the number of questions is prime and the ratio is a repeating decimal (e.g. 2 out of 3). The number of possible scores is still finite and discrete.
You referred to weights in another example. Weights are continuous.
Is anyone aware of any resources to grade/score/benchmark your organization's Data Literacy?
I was reading the recent blog from journalist and consultant Bernard Marr on 'Beyond Big Data: Why data diversity is a crucial success factor’ – and it really made me think about which data sets many businesses are often missing that could give them even greater, workable insights?
Would love to hear about any current examples of or plans to use different types of data sets that you have?
And don’t miss the original blog for more background on the importance of variety in data: https://thedataliteracyproject.org/posts/beyond-big-data-why-data-diversity-is-a-crucial-success-factor