Basics of ML & AL Week 2 Challenge

2. Simple Mean can be highly influenced by outlier. In other words an element in dataset with very high value will impact the mean of dataset. 
Whereas Expected mean takes the probability of each element in the dataset which gives proper mean value even if outlier is in the dataset. 

3. Skewness is the measure of assemetry from its mean. In other words the tail of skewness is the direction of outlier. Hence the impact of skewness is depends upon the data. For example if volume of automobile is plotted against the Mileage of the vehicle Skewness will be towards left and it is not a bad data or analysis.

4. To find probabilities for continuous normal distribution z-score and it's table can be used 

a. 84.1%
b.2.33%

c.89.49%
d.For continuous Normal Distribution prop ability at exact value cannot be calculated. Because 719.5/719.6 can also be rounded to 720

5. All the values towards the right side are greater than mean and hence the z-score will be positive. 
Since it is Normal distribution curve, right side of the curve will be having 50% of total area of the curve. 
It is 3 'sigma' curve.