I don't understand this math. I have zero understanding in math and statistic.

1. A z score conveys the a. central tendency of a distribution b. variability of a distribution c. relative position of an individual d. all of the above. 2. A very bright student is described as having an IQ that is three standard deviations above the mean. If this student's IQ is reported as a z-score, the z-score would be_ a. u + 3 b. u + 30 c. 3 d. cannot be determined from the information given 3. Four sections of General Biology were taught by four lecturers who used different tests over the same material. The four students, one from each section, compared test scores on the material in Part 1 to see who did the best. Use z scores to choose the winner: a. Jimmy 15, class parameters, # = 12, 0= 2 b. Jeff 54, class parameters, / = 50, 0= 5 c. Jon 47, class parameters, u = 37, 0= 5 d. Aaron 93, class parameters, u = 85, 0= 10 4. A distribution with mean = 35 and standard deviation = 8 is being standardized so that the new mean and standard deviation will be 50 and 10, respectively. When the distribution is standardized, what value will be obtained for a score of X = 39 from the original distribution? a. X=54 b. X=55 c. X=1.10 d. impossible to determine without more information 5. Using z-scores, a population with u = 37 and o = 8 is standardized so that the new mean is u = 50 and o = 10. How does an individual's z-score in the new distribution compare with his/her z-score in the original population? a. new z = old z + 13 b. new z = (10/6)(01d z) c. new z = old z d. cannot be determined with the information given 6. Jennifer played on her college's golf team each year she was in college. At the conference playoff she shot an 80 every year. Given the parameters for the other players, which year represented Jennifer's best performance? (Low scores are better in golf.) a. year I: / = 85, (0 = 10) b. year 2: 1 = 86, (0 = 8) c. year 3: 1 = 86, (0 = 6) d. year 4: 1 = 92, (0 = 8) 7. A z-score of z = -0.25 indicates a location that is a. at the center of the distribution b slightly below the mean c. far below the mean in the extreme left-hand tail of the distribution d. the location depends on the mean and standard deviation for the distribution