Data Analysis Quiz

In research, data analysis refers to:

• The process of collecting raw data from participants

• Organizing, transforming, and examining data to extract useful information

• Writing the final report of a study

• Designing the research framework

Which of the following is a descriptive statistic?

• Regression coefficient

• Mean score of test results

• p-value in a hypothesis test

• Chi-square statistic

In hypothesis testing, a p-value less than 0.05 generally indicates:

• The null hypothesis is rejected at the 5% significance level

• The null hypothesis is accepted with certainty

• The data is normally distributed

• The sample size is large

Which analysis technique is most suitable for examining the relationship between two numerical variables?

• Chi-square test

• Pearson correlation

• Thematic analysis

• Frequency distribution

Qualitative data analysis focuses on:

• Numerical measurements only

• Identifying patterns, themes, and meanings in textual or visual data

• Calculating averages and variances

• Measuring statistical significance

Which of the following is a data interpretation activity?

• Calculating the mean of a dataset

• Explaining what the statistical results imply in relation to the research objectives

• Running a t-test in statistical software

• Entering data into a spreadsheet

In informatics research, a data visualization tool is used to:

• Collect responses from participants

• Represent data in charts or graphs to simplify understanding

• Replace statistical tests

• Write the discussion section

Inferential statistics is primarily concerned with:

• Summarizing the main features of a dataset

• Drawing conclusions about a population based on sample data

• Describing qualitative themes

• Generating hypotheses

If a dataset contains extreme outliers, the most appropriate measure of central tendency is:

• Mean

• Median

• Mode

• Standard deviation

In the context of data analysis, triangulation refers to:

• Using three different statistical tests on the same dataset

• Combining multiple data sources or analysis methods to validate findings

• Dividing the dataset into three equal parts

• Testing three research hypotheses at once