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Ch.15 NonparametricStatistics 15.1 AnOverviewofNonparametricStatistics 1 Distinguishbetweenparametricandnonparametricstatisticalprocedures. MULTIPLECHOICE. Choosetheonealternativethatbestcompletesthestatementoranswersthequestion.
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How to fill out nonparametric statistics - overview

How to fill out nonparametric statistics - overview
01
Understand the basic concepts of nonparametric statistics such as median, mode, and rank.
02
Choose the appropriate nonparametric test based on the type of data and research question.
03
Collect the data and organize it in a way that is suitable for nonparametric analysis.
04
Conduct the chosen nonparametric test using statistical software or by hand calculations.
05
Interpret the results of the nonparametric test and draw conclusions based on the findings.
Who needs nonparametric statistics - overview?
01
Researchers and analysts who are working with non-normal or skewed data.
02
Individuals who are interested in comparing groups or variables without making assumptions about the underlying distribution.
03
Professionals in fields such as social sciences, healthcare, and education where parametric assumptions may not be met.
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What is nonparametric statistics - overview?
Nonparametric statistics is a branch of statistics that does not rely on any assumptions about the underlying distribution of the data. It is used when the data does not meet the requirements for parametric statistical tests.
Who is required to file nonparametric statistics - overview?
Nonparametric statistics may be required to be filed by researchers, data analysts, and statisticians who are analyzing data that does not meet the assumptions of parametric statistics.
How to fill out nonparametric statistics - overview?
Nonparametric statistics can be filled out by conducting tests such as the Wilcoxon signed-rank test, Mann-Whitney U test, Kruskal-Wallis test, or Spearman's rank correlation coefficient.
What is the purpose of nonparametric statistics - overview?
The purpose of nonparametric statistics is to provide a flexible alternative to parametric tests when the assumptions of the latter cannot be met. It is used to analyze data that is non-normally distributed or ordinal in nature.
What information must be reported on nonparametric statistics - overview?
The information reported on nonparametric statistics includes the test used, the results of the test, the p-value, and any relevant effect sizes or confidence intervals.
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