Statistical analysis of sensory data MCQs Food science

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1. . Primary purpose of statistical analysis in sensory data:





2. . Statistical test for comparing means of two independent samples:





3. . ANOVA stands for:





4. . Statistical method to compare means of more than two groups:





5. . A p-value indicates:





6. . High p-value in sensory evaluation suggests:





7. . Type of data typically collected in sensory studies:





8. . Statistical technique to examine relationships between multiple variables:





9. . Purpose of randomized complete block design (RCBD):





10. . Non-parametric test in sensory evaluation:





11. . “Degrees of freedom” refers to:





12. . Statistical software commonly used for sensory data:





13. . Purpose of post-hoc test in ANOVA:





14. . Measure of central tendency:





15. . Confidence interval:





16. . Low standard deviation indicates:





17. . Graphical methods to display data distribution:





18. . Null hypothesis in sensory evaluation:





19. . Statistical test for paired sample data:





20. . “Replication” in sensory testing:





21. . Measure indicating strength/direction of linear relationship:





22. . Purpose of sensory profile analysis:





23. . Method to reduce dimensionality of sensory data:





24. . Outlier:





25. . Test to compare proportion of panelists preferring a product:





26. . Purpose of sensory discrimination test:





27. . “Panelist” in sensory evaluation:





28. . Graphical representation of sensory profile data:





29. . Main purpose of hedonic scale:





30. . Measure of data dispersion:





31. . Statistical power:





32. . Test for significant difference between expected & observed frequencies:





33. . Purpose of RCBD in sensory studies:





34. . Method to predict dependent variable from independent variables:





35. . “Latent variable”:





36. . Example of parametric test:





37. . Purpose of sensory triangle test:





38. . Box plot displays:





39. . “Attribute” in sensory evaluation:





40. . Purpose of sensory descriptive analysis:





41. . Non-parametric test in sensory evaluation:





42. . “Panel effect”:





43. . Measure of variation/dispersion:





44. . Scatter plot commonly used for:





45. . Test for significant difference between more than two independent groups:





46. . Multivariate analysis:





47. . Example of sensory attribute:





48. . Purpose of sensory panel:





49. . Method to identify patterns in large sensory datasets:





50. . Sensorial fatigue:





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