Statistical Methods in Food Science MCQs December 27, 2025June 1, 2024 by u930973931_answers 20 min Score: 0 Attempted: 0/20 Subscribe 1. What is the main purpose of using statistical methods in food science? (A) To enhance the flavor of food products (B) To market food products effectively (C) To ensure food safety and quality (D) To reduce production costs 2. Which statistical measure represents the central value of a data set? (A) Mean (B) Standard deviation (C) Variance (D) Range 3. What does the standard deviation measure in a data set? (A) The average value (B) The lowest value (C) The highest value (D) The spread of values around the mean 4. Which type of data is categorized and cannot be measured? (A) Quantitative (B) Interval (C) Continuous (D) Qualitative 5. In a normal distribution, what percentage of data falls within one standard deviation of the mean? (A) 50% (B) 68% (C) 95% (D) 99% 6. What is the purpose of a hypothesis test in food science research? (A) To determine the nutritional content of food (B) To develop new food products (C) To test a claim or theory about a population (D) To assess consumer preferences 7. Which statistical test is used to compare the means of two independent groups? (A) Chi-square test (B) t-test (C) ANOVA (D) Regression analysis 8. What does a p-value indicate in hypothesis testing? (A) The standard deviation of the sample (B) The effect size of the test (C) The mean of the population (D) The probability of observing the data given that the null hypothesis is true 9. Which statistical method is used to explore the relationship between two continuous variables? (A) Correlation (B) ANOVA (C) Chi-square test (D) t-test 10. Which graphical representation is commonly used to show the distribution of a data set? (A) Pie chart (B) Histogram (C) Bar graph (D) Scatter plot 11. What does ANOVA stand for? (A) Analysis of Variance (B) Analysis of Variables (C) Analysis of Values (D) Analysis of Validation 12. Which type of ANOVA is used when comparing means of more than two groups? (A) Two-way ANOVA (B) One-way ANOVA (C) Repeated measures ANOVA (D) Factorial ANOVA 13. What is the main purpose of regression analysis in food science? (A) To compare the means of different groups (B) To test for differences between categorical variables (C) To predict the value of a dependent variable based on one or more independent variables (D) To determine the average value of a sample 14. Which term describes the likelihood that a result from an experiment or study is due to chance? (A) Confidence interval (B) Standard deviation (C) Significance level (D) Regression coefficient 15. What does the R-squared value indicate in a regression analysis? (A) The strength and direction of a linear relationship between two variables (B) The average distance of data points from the mean (C) The proportion of the variance in the dependent variable explained by the independent variable(s) (D) The probability that the observed results are due to chance 16. Which type of sampling method ensures that every member of a population has an equal chance of being selected? (A) Random sampling (B) Cluster sampling (C) Systematic sampling (D) Stratified sampling 17. What is the primary advantage of using a randomized controlled trial (RCT) in food science research? (A) It is less expensive (B) It provides more detailed descriptive data (C) It requires a smaller sample size (D) It minimizes bias and confounding variables 18. Which statistical test is used to determine if there is a significant association between two categorical variables? (A) Chi-square test (B) ANOVA (C) t-test (D) Correlation 19. What does a confidence interval represent in the context of statistical analysis? (A) The average value of a sample (B) The range of values within which a population parameter is expected to fall with a certain degree of confidence (C) The probability of observing the data given that the null hypothesis is true (D) The variance of the sample data 20. What is the null hypothesis in hypothesis testing? (A) The hypothesis that there is a significant effect or difference (B) The alternative hypothesis (C) The hypothesis that there is no effect or difference (D) The hypothesis that cannot be tested