Statistical Methods and Tests

The video tutorial covers data analysis, focusing on descriptive and inferential statistics. It explains various statistical methods, including non-parametric and parametric tests, and their applications for different data types. The tutorial also discusses tests of differences and relationships, such as chi-square, Spearman, and Pearson correlations, providing insights into how these methods help in making informed decisions based on data.

What is the primary goal of data analysis?

• To collect data

• To find meaning in data for informed decisions

• To create data

• To delete data

Which statistical method is used to summarize data from a sample?

• Analytical statistics

• Predictive statistics

• Descriptive statistics

• Inferential statistics

Which tool is used to determine the most frequently occurring value in a data set?

• Median

• Mode

• Mean

• Range

What does the standard deviation illustrate in a data set?

• The spread of data relative to the mean

• The most frequent value

• The middle value

• The average value

Which test is used to compare two groups of matched samples in non-parametric statistics?

• Mann-Whitney U test

• Wilcoxon signed-rank test

• Kruskal-Wallis test

• Chi-square test

What is the purpose of the Kruskal-Wallis test?

• To compare two independent samples

• To compare more than two groups from independent samples

• To measure the central tendency

• To assess the linear relationship

Which test compares means across three or more groups?

• Chi-square test

• One-way ANOVA

• Independent samples t-test

• Paired samples t-test

What is the equivalent parametric test for the Wilcoxon signed-rank test?

• Chi-square test

• One-way ANOVA

• Independent samples t-test

• Paired samples t-test

Which test assesses the association between two categorical variables?

• Spearman correlation

• Pearson's correlation

• Chi-square test of independence

• Kruskal-Wallis test

What does Pearson's correlation measure?

• The average of two variables

• The linear relationship between two variables

• The median of a data set

• The frequency of occurrences