Mean, median, and mode are all measures of central tendency, which provide information about the average value of a dataset.

A scatterplot is a graphical representation of the relationship between two variables, showing how the values of one variable change in relation to the values of the other variable.

The t-test is a statistical test used to determine if there is a significant difference between the means of two groups.

Regression analysis is a statistical method used to predict the value of a dependent variable based on one or more independent variables.

The chi-square test is a non-parametric statistical test that is used to determine if there is a significant relationship between two categorical variables.

Factor analysis is a statistical method used to identify the underlying factors that explain the variance in a set of variables.

Range, variance, and standard deviation are all measures of dispersion, which provide information about the spread of a dataset.

A histogram is a graphical representation of the distribution of a variable, showing the frequency of occurrence of different values.

ANOVA (Analysis of Variance) is a statistical test used to determine if there is a significant difference between the means of more than two groups.

A box plot is a graphical representation of the distribution of a variable, showing the median, quartiles, and outliers.

Mean, median, and mode are measures of central tendency, not skewness.

Correlation analysis is a statistical method used to determine the strength and direction of the relationship between two variables.

Mean, median, and mode are measures of central tendency, not kurtosis.

A stem-and-leaf plot is a graphical representation of the distribution of a variable, showing the individual values of the data.

Random sampling, systematic sampling, and stratified sampling are all types of sampling methods used to select a representative sample from a population.