Name: Section: Module 7: Part A: Multiple Choice (10 items) Directions: Choose the letter of the best answer. 1. Which of the following is the primary goal of data analysis in quantitative research? A. To test instruments B. To summarize and interpret data C. To identify research participants D. To validate the research title 2. A teacher compares the pre-test and post-test scores of her students. Which statistical tool should be used? A. T-test B. Chi-square C. Correlation D. Regression 3. What statistical measure is best used when describing the average performance of students in a class? A. Mode B. Median C. Mean D. Range 4. Which type of statistics allows researchers to generalize results from a sample to a population? A. Descriptive B. Inferential C. Predictive D. Exploratory 5. Which graph is best for showing the relationship between two continuous variables? A. Pie chart B. Histogram C. Scatter plot D. Bar graph 6. A computed p-value of 0.032 indicates: A. The null hypothesis must be accepted B. The null hypothesis must be rejected C. The research is invalid D. The sample size is too small 7. Which of the following describes data coding? A. Collecting raw data from participants B. Assigning numerical values to responses C. Organizing research literature D. Writing recommendations 8. What is the most reliable measure of central tendency when extreme values are present? A. Mean B. Median C. Mode D. Variance 9. Which section of a research paper explains the meaning and implications of the results? A. Introduction B. Methodology C. Results and Discussion D. References 10. Which of the following is an example of inferential analysis? A. Getting the class average B. Counting the frequency of responses C. Testing the difference between two groups D. Listing down survey responses Part B: Extended Abstract (SOLO HOTS, 10 items) Directions: Answer the following questions comprehensively. Justify your answers with examples or research-based reasoning. 1. A researcher finds no significant difference in test scores before and after using a new teaching strategy. How should this finding be interpreted, and what implications does it have for educational practice? 2. You are tasked with presenting survey results about students' preferred learning styles. What kind of graph would you use, and why is it the most appropriate? 3. Imagine you are analyzing data from a study on stress levels and academic performance. How would you explain a negative correlation result to your audience? 4. A study shows a p-value of 0.07 when testing the effect of peer tutoring on grades. Discuss whether the null hypothesis should be accepted or rejected, and explain why. 5. How can the use of triangulation in data analysis strengthen the validity of your research findings? Provide an example. 6. If your computed mean test score is 80 but the distribution is highly skewed, what additional statistical measure would you report, and why? 7. A school principal asks you to summarize the performance of Grade 11 students in a way that highlights both strengths and weaknesses. Which data presentation method will you use, and why? 8. How can inferential statistics be used to help DepEd formulate education policies? Provide one concrete example. 9. In a research paper, the discussion section must go beyond restating results. Explain what elements must be included to achieve a higher SOLO extended abstract level. 10. Suppose your research shows that students who study in groups perform better than those who study alone. How will you present and interpret this finding so it can be applied in real classroom settings