# Lecture´s Description

**Basic Concepts**In this lecture

**´´**

**Statistical Tests**

**´´**are explained. Section one is about

**´´Basic Concepts´´.**Educator initiates this section by explaining

**samples and population**. Also gives information about

**dealing with uncertainty.**Then discussion continues on

**sampling distributions**. Following this,

**sampling distribution of the mean**is elaborated.

**Standard error of the mean**is the next focus. Furthermore,

**choice of percentage for confidence intervals (CI)**is covered in this part. Afterwards, educator notify about

**calculating the confidence interval (CI).**Then

**standard error of a proportion**comes under consideration. Likewise, educator precisely continues discussion on question that

**how to interpret confidence interval for a proportion**. Moving onward, information about

**large sample**is given. Alongside,

**P - value**is elaborated.

**Reporting P values**is explained in the proceeding slide. Next,

**statistical significance**is covered by the educator. Finally,

**clinical significance**is highlighted.

**Parametric Tests of Significance**Section two is about

**‘’Parametric Tests of Significance’’.**In the beginning, educator comparatively explains

**parametric vs non-parametric tests**. After that thoroughly discuss

**parametric tests.**Then

**independent T-test**is elaborated. Following this

**assumptions for independent T-test**is given. Likewise, educator tells

**how to apply independent T-test.**Furthermore,

**interpretation of independent T-test**is reported.

**Paired T - test**is also elucidated in this part. Subsequently, discussion continues on

**how to apply paired T-test**. Then educator also notifies

**how to apply and interpret paired T - test**. Moving onward,

**one way ANOVA**comes under consideration.

**assumptions of one way ANOVA**are focused afterwards. The next subject is the elucidation of

**how to apply one way ANOVA.**Moreover,

**interpretation of one way ANOVA**is given. Concluding comments are given on

**Repeated Measures ANOVA**.

**Non Parametric Tests of Significance**Section three is about

**‘’Non Parametric Tests of Significance’’.**Firstly,

**parametric vs non parametric tests**are discussed. In the next slide,

**Mann Whitney U Test**is elaborated. Following this,

**assumptions for Mann Whitney U Test**is given. Then discussion continues on

**how to apply Mann Whitney U Test**. Additionally,

**interpretation of Mann Whitney U Test**is reported.

**Wilcoxon signed rank test**is also covered under this part. Furthermore,

**assumptions for Wilcoxon Signed Rank test**are highlighted. Educator thoroughly explains

**how to apply Wilcoxon Signed Rank Test**. This is followed by

**interpretation of Wilcoxon Signed Rank Test**. Next is the elucidation of

**Kruskal Wallis H Test**. Likewise,

**assumptions for Kruskal Wallis H Test**are reported. Later on, explanation is given on

**how to apply Kruskal Wallis H Test**. Finally, educator highlights

**interpretation of Kruskal Wallis H Test**.

**Tests for Correlation**Section four is about

**‘’**

**Tests for Correlation’’.**Educator begins by telling about

**parametric vs non parametric tests**. Then moves to elucidation of

**Pearson’s product-moment correlation**. Next few slides focus on

**assumptions for Pearson's Correlation**. Moreover, educator talks about

**how to apply Pearson's Correlation**. Likewise,

**interpretation of Pearson's Correlation**is elaborated. Moving onward,

**Spearman's Rank-Order Correlation**comes under consideration. After that

**assumptions for Spearman's Rank-Order Correlation**are pursued. The next theme of discussion is

**how to apply Spearman's Rank-Order Correlation**. In the end,

**interpretation of Spearman's Rank-Order Correlation**is covered by the educator.

**Tests of Association**Section five is about

**‘’Tests of Association’’.**Earlier in this section,

**parametric vs non-parametric tests**are elaborated. After that

**Chi-Square Test for Association**is pursued. This is followed by

**assumptions for Chi-Square Test for Association**. Then discussion continues on

**how to apply Chi-Square Test for Association.**Later on,

**interpretation of Chi-Square Test for Association**is reported. Next,

**Chi-Square Goodness of Fit Test**is focused. Moreover,

**assumptions for Chi-Square Goodness of Fit Test**are given. Likewise, educator gives information on

**how to apply Chi-Square Goodness of Fit Test**. Concluding comments are given on

**interpretation of Chi-Square Goodness of Fit Test**.