Mean is a measure of central tendency that represents the average of a set of values.

P(A) represents the probability of event A occurring.

The area under the curve between two z-scores in a normal distribution represents the probability of a value falling within that range.

Chi-square test is a non-parametric test that is used to determine whether there is a significant relationship between two categorical variables.

R-squared represents the proportion of variance in the dependent variable that is explained by the independent variable.

Standard deviation is a measure of variability that represents the spread of data around the mean.

Data collection is the process of gathering and measuring information on targeted variables in an organized manner so that it can be analyzed, interpreted, and used.

The null hypothesis (H0) represents the hypothesis that is assumed to be true until proven otherwise.

Normal distribution is a type of probability distribution that is used to model the distribution of continuous random variables.

Binomial distribution is used to calculate the probability of obtaining at least one success in a sequence of independent trials.

Histogram is a graphical representation of the distribution of data that shows the frequency of occurrence of different values.

Inference is the process of using sample data to make inferences about a larger population.

Principal component analysis is a technique used to reduce the dimensionality of a dataset by identifying the principal components that explain the majority of the variance in the data.

Binomial distribution is used to calculate the probability of obtaining exactly k successes in a sequence of n independent trials with probability of success p.

Correlation coefficient is a measure of the strength and direction of the linear relationship between two variables.