Question

1. What are metrics that will not be impacted by skewness? Choose All that Apply

a) Interquartile Range b) Median c) Standard Deviation d) Mean

2. Please select all the features that belong in ordinal data

a) Continuous Variable b) Ordinal variable c) Binary variable d) Nominal variable

3. Imagine if you wanted to predict the onset of a cardiovascular event( whether they had an event or not) with a set of features that represent a person's medical history what algorithm would you use?

a) Clustering b) Regression c) Classification d) Association rules

Answer 1

1.

a) Interquartile Range  b) Median

Median is the middlemost element and is unaffected by extreme values and skewness in the data.

Interquartile Range is the difference of third quartile and first quartile which is unaffected by extreme values and skewness in the data.

2.

Ordinal data is data which is placed into some kind of order or scale. Binary variable like True/False may not have defined order. Nominal variable like color of skin may not have defined order. Ordinal data can be continuous for example Likert Scale data

The correct option is,

a) Continuous Variable b) Ordinal variable

3.

We want to predict whether they had an event or not (a binary variable). For a binary dependent variable, the appropriate algorithm to use are

b) Regression (Logistics Regression) c) Classification  d) Association rules