Akademik Dersler - İçerik

Will be able to explain the principal concepts of biometry.
Defines biometry and the principal concepts used in biometry.
Explains measurement and types of scales.
Creates an appropriate frequency distribution for the given dataset.
Creates graphical representations of the given dataset.
Will be able to calculate descriptive statistics from the data of the variable(s) to be studied.
Calculates measures of central tendency.
Calculates measures of variation.
Explains the concepts of asymmetry and symmetry.
Calculates statistical ratios using measures of central tendency and measures of variability.
Will be able to solve problems related to the normal distribution.
Explains the properties of the normal distribution.
Calculates probabilities related to the normal distribution.
Will be able to perform applications related to sampling and hypothesis testing.
Explains the sampling process and methods.
Performs point and interval estimates.
Applies hypothesis tests for the population mean and proportion, and one-way analysis of variance.
Will be able to apply Correlation and Linear Regression Analysis.
Determines the degree of relationship between variables.
Establishes a linear model between two variables.
Establishes a linear model for multiple independent variables.