MAR 2801 SPRING 2024 EXAM #1 Qs

1. What are the steps in the scientific method? 2. What is statistics? 3. Why do biologists needs to study statistics? 4. Compare and contrast data and variables. 5. Compare and contrast sample and population. 6. How do you take a sample from a population? 7. Compare and contrast continuous and discrete variables. 8. Compare and contrast ranked and derived variables. 9. What are the scales of measurement? 10. Compare and contrast measures of central tendency/average and measures of spread/variability. 11. What is a frequency distribution? 12. Compare and contrast frequency table and frequency graph. 13. Compare and contrast a histogram and a bar graph. 14. What is a class mark? 15. What is the precision of a reported value of 1mm? 16. Compare and contrast a frequency histogram and a frequency polygon? 17. Compare and contrast a frequency polygon and a frequency curve? 18. Compare and contrast mean, median, and mode. 19. Compare and contrast range, standard deviation, and variance. 20. What is the advantage of the mean as a measure of average? 21. What is the disadvantage of the mean as a measure of average? 22. What is the advantage of the median as a measure of average? 23. What is the disadvantage of the median as a measure of average? 24. What is the advantage of the mode as a measure of average? 25. What is the disadvantage of the mode as a measure of average? 26. What is the advantage of the standard deviation as a measure of spread or variability? 27. What is the disadvantage of the standard deviation as a measure of spread or variability? 28. What is the advantage of the range as a measure of spread or variability? 29. What is the disadvantage of the range as a measure of spread or variability? 30. What is coefficient of variation? 31. Compare and contrast frequency distribution and probability distribution. 32. What is probability? 33. What is the minimum and maximum values of probability? 34. Compare and contrast empirical and theoretical ways of generating probability. 35. What is outcome of interest? 36. What is expected frequency? 37. Compare and contrast binomial and poisson probability models. 38. What are needed (i.e., properties) to use the binomial probability model? 39. Compare and contrast k and p in the binomial probability model. 40. What are the properties of a normal curve? 41. Compare and contrast normal and standard normal curve. 42. What is the area under the normal curve bounded by ±1.0 Standard Deviation? 43. What is a z-score?