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**.