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Course Information

Course Information

Course Title	Code	Semester	L+U Hour	Credits	ECTS
BIOISTATISTICS	PHM1009	1. Semester	2 + 0	2.0	2.0

Prerequisites

None

Language of Instruction	English
Course Level	Bachelor's Degree
Course Type	Compulsory
Mode of delivery
Course Coordinator
Instructors	Zahide KOCABAŞ
Assistants	Rabia ALBAYRAK DELİALİOĞLU
Goals	Objectives of this course are: to give Information on the basic principle of statistics; to explain necessity of description of the statistical distribution; to emphasize the necessity of hypothesis control when a reasearch is completed; to explain and give Information on the statistical methods to be used to evaluate the data collected from the experiments (research)
Course Content	The basic concepts of statistics, collection of data, type of data (continuous and discrete), descriptive statistics, Measures of central tendency (arithmetic mean, median, mode, geometric mean, harmonic mean), Measures of dispersion (range, variance, standard deviation, coefficient of variation), Statistical distributions, Binomial distribution, Poisson distribution, Normal distribution, properties of normal distribution, Standard normal distribution, Relationship between two variables, correlation coefficient, regression coefficients, regression equation, regression line, determination coefficient, Sampling distributions, sampling distribution of means, sample distribution the differences between two means, sampling distribution of proportions, sampling distribution of differences between two proportions, sampling distribution of correlation, Hypothesis testing, hypotheses, test statistics, Type I and Type II errors, one- and two tailed tests, Z-distribution, hypothesis testing: a single population mean, the difference between two population means, a single population proportion, t-distribution, hypothesis testing: a single population mean, the difference between two population means, the difference between two population proportions, correlation coefficient, Confidence interval, confidence interval for population mean, Chi-square distribution, test of homogeneity, tests of goodness-of-Fit, test of independence
Learning Outcomes	1) The students learn that the data collection from all the individuals in a population requires a lot of costs and time and understands that it is necessary to study on a random sample taken from the population 2) The students understand that it needs to study on a random sample to obtain reliable results 3) The students learn that the values of population, called parameters, are estimated from the sample data and are called statistic 4) They learn to examine the association between two variables of drugs being studied and to interpret the results 5) The students learn that the values of population, called parameters, are estimated from the sample data and are called statistic 6) The students learn that when hypothesis is stated, it requires to carry out an experiment to collect data and to evaluate the hypothesis using the collected data and to perform a hypothesis control and to evaluate and interpret the results