Data Analysis in Research Seatwork

What is the main purpose of data analysis in research?

• To collect data

• To design research questions

• To summarize gathered information to answer research questions

• To select participants for the study

In quantitative research, why is numerical data analyzed in components?

• To create more data

• To improve data quality

• To enhance understanding by breaking it down based on variables

• To avoid statistical errors

Which type of statistical technique provides a summary of ordered data?

• Inferential Statistics

• Descriptive Statistical Technique

• Regression Analysis

• Correlation

What is the purpose of using inferential statistics in research?

• To collect data

• To describe data

• To test hypotheses and make generalizations

• To measure central tendencies

What type of data analysis involves analyzing relationships between multiple variables?

• Univariate analysis

• Bivariate analysis

• Multivariate analysis

• Single-variable analysis

If your research sample size is fewer than 30, which type of test is recommended?

• Parametric Test

• Non-Parametric Test

• Descriptive Test

• Standard Test

Which statistical measure should you use to find the most common value in your data?

• Mean

• Median

• Mode

• Standard Deviation

When analyzing data with a normal distribution and a sample size of 50, which test is appropriate?

• Non-Parametric Test

• Parametric Test

• Descriptive Statistics

• Frequency Distribution

Which test should be used for ordinal data in a non-normal distribution?

• Parametric Test

• Descriptive Test

• Non-Parametric Test

• Mean Test

If a researcher is interested in predicting an outcome variable based on another variable, they should use:

• Correlation

• Descriptive Analysis

• Frequency Distribution

• Regression