With a REAL life example, explain the meaning of each : Density Curves, Z-score and Inverse Norm.

For example, for density curve, normal distribution curve will suffice. Test scores are normally distributed( symmetrical mainly).You can also present exampleswhere the data will exhibit some skewness. Study times during the week is right skewed.

For Z score example,compare maybe test scores. Make up some data and show your calculation for the Z-score for two students and thenCOMPAREthe two z-scores.

For inverse norm, explain with aworked out example. In class, we calculated the score( x value) we have to get to be in the top 10%. Any other real-life situation where this could be applicable.