Basics of ML & AL Week 2 Challenge

1)In the attached file

2) While the sample mean is the average of a set of observed values, the expected value provides a theoretical average that is useful for making predictions and understanding the underlying distribution of the data. The sample mean provides a measure of the central tendency for a sample, but it does not consider the likelihood of different outcomes. On the other hand, the expected value is a weighted average that considers the probability of each outcome. This allows us to make predictions and make decisions based on the expected outcome of a random process, even if we don't know the exact outcome.

3)Skewness can impact the validity of certain statistical techniques, such as hypothesis tests, that assume normality. In these cases, skewness can be considered bad because it can lead to inaccurate results. However, in other cases, skewness may not be problematic and can even provide valuable information about the distribution. For example, positive skewness may indicate that there are a few high values that are not typical, while negative skewness may indicate the presence of outliers or a long tail of low values.

4)Please provide answers and reasoning for the question.

5)It is a normal distribution curve that shows the data is equally divided. Here the mean, median, and Mode will be the same.