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Quantitative Data Analysis

Test your knowledge of parametric and non-parametric tests with this quiz. Explore the definitions and examples of parametric tests like t-tests and ANOVA, as well as non-parametric tests that do not assume specific probability distributions.

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@WellBehavedCognition9443
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Questions and Answers

Which test assumes a specific probability distribution, typically the normal distribution?

Independent samples t-test

Which non-parametric test is used when data may not meet parametric assumptions?

Kruskal-Wallis test

Which test is used to compare the means of two independent groups to determine if there is a statistically significant difference between them?

Mann-Whitney U test

Which correlation coefficient is a non-parametric test?

<p>Spearman correlation</p> Signup and view all the answers

Which type of t-test is used for related groups?

<p>Paired samples t-test</p> Signup and view all the answers

Which test assumes equal variances of the two groups being compared?

<p>Independent samples t-test</p> Signup and view all the answers

Which test is more robust in the face of deviations from normality?

<p>Kruskal-Wallis test</p> Signup and view all the answers

Which correlation coefficient is used when the data may not meet parametric assumptions?

<p>Spearman correlation</p> Signup and view all the answers

Which test is used to compare the means of more than two independent groups?

<p>ANOVA</p> Signup and view all the answers

Which test is used when comparing the means of two groups and assuming equal variances may be violated?

<p>Welch's t-test</p> Signup and view all the answers

What type of data have a meaningful order, consistent intervals, and a true zero point?

<p>Ratio data</p> Signup and view all the answers

What is the key difference between Type I and Type II errors?

<p>Type I error represents the probability of mistakenly concluding that there is an effect when there is none, while Type II error represents the probability of failing to detect an effect that truly exists.</p> Signup and view all the answers

When is the median a suitable measure of central tendency?

<p>When data are less influenced by extreme values</p> Signup and view all the answers

What is the purpose of MANOVA (Multivariate Analysis of Variance)?

<p>To extend ANOVA to multiple dependent variables, allowing the simultaneous analysis of relationships across these variables</p> Signup and view all the answers

What type of correlation coefficient is suitable for linear relationships between normally distributed variables?

<p>Pearson correlation coefficient</p> Signup and view all the answers

What is the key characteristic of nominal data?

<p>They represent categories without any inherent order or ranking</p> Signup and view all the answers

In which type of t-test are the groups being compared dependent?

<p>Dependent samples t-test</p> Signup and view all the answers

What does Type II error represent?

<p>The probability of failing to detect an effect that truly exists</p> Signup and view all the answers

When is the mean a suitable measure of central tendency?

<p>When data are ordered and the intervals between values are consistent</p> Signup and view all the answers

What type of data represent categories with a meaningful order or ranking, but the intervals between the categories are not consistent?

<p>Ordinal data</p> Signup and view all the answers

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