Answer: To determine the association between variables.
39. Why did you use correlation analysis?
Answer: To measure the relationship between variables.
40. Why did you use weighted average?
Answer: To rank factors based on respondents' opinions.
Chapter 4 – Data Analysis and Interpretation
41. What is data analysis?
Answer: The process of examining and interpreting collected data.
42. What is interpretation?
Answer: Explaining the meaning of analyzed results.
43. What is percentage analysis?
Answer: A method used to express data as percentages.
44. What is the formula for percentage?
Answer: Percentage = (Frequency / Total Respondents) × 100
45. What is the chi-square formula?
Answer: χ² = Σ[(O − E)² / E]
46. What is correlation?
Answer: A measure of the relationship between two variables.
47. What is the range of correlation?
Answer: -1 to +1
48. What does positive correlation mean?
Answer: Both variables move in the same direction.
49. What does negative correlation mean?
Answer: Variables move in opposite directions.
50. What is weighted average?
Answer: An average that considers the importance of each value.
51. Which factor received the highest rank?
Answer: Based on weighted average results, ____ received the highest rank.
52. What was the major finding?
Answer: Most respondents showed positive responses toward the study variables.
53. What software did you use?
Answer: SPSS and MS Excel.
54. Why did you use SPSS?
Answer: For accurate statistical analysis.
55. What is a bar chart?
Answer: A graphical representation using bars.
56. What is a pie chart?
Answer: A circular chart showing proportions.
57. What were your key observations?
Answer: The majority of respondents preferred and supported the identified factors.
58. Did your hypothesis get accepted?
Answer: Based on the statistical results, the hypothesis was accepted/rejected.
59. What is significance level?
Answer: The probability of rejecting a true null hypothesis, usually 0.05.
60. How do you interpret p-value?
Answer: If p < 0.05, the result is statistically significant.
Chapter 5 – Findings, Suggestions and Conclusion
61. What are the major findings?
Answer: The study identified important factors affecting the research area.
62. What suggestions did you provide?
Answer: Recommendations for improving performance and efficiency.
63. What is the conclusion of your study?
Answer: The objectives were achieved, and useful insights were obtained.
64. How can the organization benefit?
Answer: By implementing the recommendations provided.
65. What future scope does your study have?
Answer: Future researchers can expand the study with larger samples and additional variables.
66. Were all objectives achieved?
Answer: Yes, the objectives were achieved through data analysis.
67. What challenges did you face?
Answer: Data collection difficulties and time limitations.
68. What did you learn from this project?
Answer: Research methods, data analysis, and practical business applications.
69. How would you improve this study?
Answer: Increase sample size and use advanced statistical techniques.
70. What is your final recommendation?
Answer: The organization should implement the suggested improvements for better performance.
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