Akademik Dersler - İçerik

Will be able to state that a sample statistic is a random variable with a probability distribution.
Explains standard error.
Expresses the distribution and properties of the sample mean.
Knows when the distribution of the sample mean is exactly and when it is approximately normal.
Will be able to construct confidence interval for one population parameter.
Explains 100(1-α)% confidence interval constructed for one population parameter.
Explains the relationship of confidence interval with sample size, confidence level and standard error.
Constructs and interprets the confidence interval for the population mean, variance, or proportion.
Will be able make hypothesis testing for one population parameter.
Explains and interprets level of significance, power of the test, p-value.
Applies z and t test for the population mean and draws conclusion.
Tests the population variance and draws conclusion.
Tests the population proportion and draws conclusion.
Will be able to build the confidence interval for the difference between two population parameters and can test hypotheses.
Compares two population means based on independent and dependent sampling and interprets the result.
Compares two population variances based on independent samples and interprets the result.
Compares two population proportions based on independent samples and interprets the result.
Will be able to compare the means of three and more than three populations.
States the one-way ANOVA model and its assumptions.
Applies F test and interprets the result.
Will able to model the linear relation between two variables.
Estimates the regression coefficients using LS method.
Estimates the regression coefficients using LS method.
Constructs confidence intervals for the regression coefficients and test the corresponding hypotheses.
Calculates the correlation efficient and interprets the result.