4. d. Create an appropriate graph to show the distribution of the data. (1 Mark) Glomerular...
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4. d. Create an appropriate graph to show the distribution of the data. (1 Mark) Glomerular filtration rate (GFR) is an important parameter of renal filtration assessed in renal transplant recipients. The following are measurements of GFR from 27 patients. 19 35 62 22 25 23 43 62 51 23 54 45 1 January 20, 2023 HTHSCI 2S03 - Graded Assignment #1 22 26 25 36 33 51 48 46 36 24 28 20 20 63 52 28 40 40 31 5. a. Compute the mean and median. (1 Mark) b. Compute the 60th percentile (Hint: review the definition of a percentile on page 39 of the textbook, round the index where the percentile can be found in the ordered data set up or down to the nearest whole number). (1 Mark) c. Compute variance and standard deviation (SD). (1 Mark) d. Construct a stem-and leaf plot. (1 Mark) e. Construct a box-and-whisker plot. (1 Mark) In a study of fingerprints, an important quantitative characteristic is the total ridge count for the 10 fingers of an individual. Assume that the total ridge counts of individuals in a certain population are approximately normally distributed with a mean of 140 and a variance of 2500. Find the probability that an individual picked at random from this population will have a ridge count of: a. 200 or more. (1 Mark) b. Less than 100. (Mark) c. Between 100 and 200. (1 Mark) d. Between 200 and 250. (1 Mark) e. In a population of 40,000 people, how many would you expect to have a ridge count of 200 or more? (1 Mark) 4. d. Create an appropriate graph to show the distribution of the data. (1 Mark) Glomerular filtration rate (GFR) is an important parameter of renal filtration assessed in renal transplant recipients. The following are measurements of GFR from 27 patients. 19 35 62 22 25 23 43 62 51 23 54 45 1 January 20, 2023 HTHSCI 2S03 - Graded Assignment #1 22 26 25 36 33 51 48 46 36 24 28 20 20 63 52 28 40 40 31 5. a. Compute the mean and median. (1 Mark) b. Compute the 60th percentile (Hint: review the definition of a percentile on page 39 of the textbook, round the index where the percentile can be found in the ordered data set up or down to the nearest whole number). (1 Mark) c. Compute variance and standard deviation (SD). (1 Mark) d. Construct a stem-and leaf plot. (1 Mark) e. Construct a box-and-whisker plot. (1 Mark) In a study of fingerprints, an important quantitative characteristic is the total ridge count for the 10 fingers of an individual. Assume that the total ridge counts of individuals in a certain population are approximately normally distributed with a mean of 140 and a variance of 2500. Find the probability that an individual picked at random from this population will have a ridge count of: a. 200 or more. (1 Mark) b. Less than 100. (Mark) c. Between 100 and 200. (1 Mark) d. Between 200 and 250. (1 Mark) e. In a population of 40,000 people, how many would you expect to have a ridge count of 200 or more? (1 Mark)
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