1.Why is understanding skewness and kurtosis important in data analysis? A. They provide information about the central tendency of the data. B. They help identify outliers and anomalies in the dataset. C. They offer insights into the symmetry and tail heaviness of the data distribution. D. They are crucial for calculating the mean and standard deviation of the data. E. They determine the range of the dataset.

2. Suppose we have a set of exam scores for a class of 5 students: [70, 80, 77, 90, 94]. What is the variance of this set of exam scores? Show your answer here.4.Correlation Analysis is a statistical method used to: A. Determine causation between two variables. B. Discover if there is a relationship between two variables/datasets. C. Identify the mean of a dataset. D. Calculate the standard deviation of a dataset.

3.In statistical terms, a negative correlation between two variables means that: A. As one variable increases, the other variable decreases. B. Both variables increase simultaneously. C. There is no relationship between the variables. D. The correlation coefficient is zero.

4. Suppose we have a set of exam scores for a class of 5 students: [70, 80, 77, 90, 94]. What is the standard deviation of this set of exam scores? Show you answer here.

5. Correlation Analysis is a statistical method used to: A. Determine causation between two variables. B. Discover if there is a relationship between two variables/datasets. C. Identify the mean of a dataset. D. Calculate the standard deviation of a dataset.