Mean is the average value in a set of data, calculated by adding all the values and dividing by the number of values. Median is the middle value in a set of data when arranged in ascending or descending order. Mode is the most frequently occurring value in a set of data.
Standard deviation is a measure of the spread of data from the mean. It is calculated by finding the difference between each data point and the mean, squaring these differences, adding them together, dividing by the number of data points, and then taking the square root of the result.
Correlation refers to a relationship between two variables, where a change in one variable may be associated with a change in the other. However, this does not necessarily mean that one variable causes the other. Causation involves a direct cause and effect relationship between two variables.
A normal distribution, also known as a bell curve, is a type of probability distribution where the data is symmetrically distributed around the mean. This means that most data falls near the mean, with fewer data points on the extremes.
A t-test is used to compare the means of two groups, while ANOVA (Analysis of Variance) is used to compare the means of three or more groups. If you have two groups and want to compare their means, a t-test would be appropriate. If you have more than two groups, an ANOVA would be more suitable.
