The total cholesterol levels of a sample of men aged 35-44 are normally distributed with a...
The total cholesterol levels of a sample of men aged 35-44 are normally distributed with a mean of 208 milligrams per deciliter and a standard deviation of 36.6 milligrams per deciliter. (a) What percent of the men have a total cholesterol level less than 214 milligrams per deciliter of blood? (b) If 246 men in the 35-44 age group are randomly selected, about how many would you expect to have a total cholesterol level greater than 265 milligrams per deciliter...
The total cholesterol levels of a sample of men aged 35-44 are normally distributed with a mean of 209 milligrams per deciliter and a standard deviation of 36.8 milligrams per deciliter. (a) What percent of the men have a total cholesterol level less than 233 milligrams per deciliter of blood? (b) If 259 men in the 35-44 age group are randomly selected, about how many would you expect to have a total cholesterol level greater than 257 milligrams per deciliter...
The total cholesterol levels of a sample of men aged 35-44 are normally distributed with a mean of 220 milligrams per deciliter and a standard deviation of 38.2 milligrams per deciliter. (a) What percent of the men have a total cholesterol level less than 210 milligrams per deciliter of blood? (b) If 251 men in the 35-44 age group are randomly selected, about how many would you expect to have a total cholesterol level greater than 256 milligrams per deciliter...
.2.19 FQ0stioH Hel The total cholesterol levels of a sample of men aged 35-44 are normally distributed with a mean of 201 milligrams per deciliter and a standard deviation of 36.5 milligrams per deciliter. (a) What percent of the men have a total cholesterol level less than 239 milligrams per deciliter of blood? (b) If 259 men in the 35-44 age group are randomly selected, about how many would you expect to have a total cholesterol level greater than 260...
estimate the average age at which multiple sclerosis patients were diagnosed with the condition for the first time in a given city. How big should the sample be? Define your procedures for this estimate (if necessary, set your own values of unknown parameters, based on statistical theory). In Table 1 you will find all ages of this patient population. 54 58 56 48 62 59 55 56 60 52 53 61 56 56 53 37 71 62 39 61 54...
the cholesterol level of men in the united states are normally distributed, with a mean = 215 milligrams per deciliter and a standard deviation = 25 milligrams per deciliter. if a man is randomly selected, what is the probability that his cholesterol level is more than 245? based on your answer to #1, would you consider it unusual for a man to have a cholesterol level of 245? Why? what cholesterol level cuts off the lower 10% of levels
For determining half-lives of radioactive isotopes, it is important to know what the background radiation is in a given detector over a specific period. The following data were taken in a y -ray detection experiment over 98 ten-second intervals: 58 50 57 58 64 63 54 64 59 41 43 56 60 50 46 59 54 60 59 60 67 52 65 63 55 61 68 58 63 36 42 54 58 54 40 60 64 56 61 51 48...
The alternating current (AC) breakdown voltage of an insulating liquid indicates its dielectric strength. An article gave the accompanying sample observations on breakdown voltage (kV) of a particular circuit under certain conditions. 62 51 54 57 42 54 56 61 59 64 51 54 64 62 51 68 54 56 58 51 56 50 56 56 46 55 54 54 53 48 48 55 57 49 63 58 57 55 53 59 54 52 51 56 60 50 57 59...
The Thompson Tire Company did research in Alabama regarding the miles their commercial truck tires would travel before they no longer met the Federal Highway Department tread depth requirements. The results of their study are in the file “Thompson Data Spring 2019” and show the mileage in 1,000 miles. Calculate the mean, median and mode of the data. Develop a box plot. Are there any outliers? Do the amounts follow a symmetric distribution or are they skewed? Justify your answer....
For each level of confidence c below, determine the corresponding normal confidence interval. Assume each confidence interval is constructed for the same sample statistics. 17. c= 0.88 18. c= 0.90 19. c= 0.95 20. c= 0.98 53.7 x = 55.9 58.1 54.1 = 55.9 660 57.7 52 53 54 55 56 57 58 59 60 52 53 54 55 56 57 58 59 60 53.3 58.5 54.2 J 57.6 x = 55.9 Ž=55.9 52 53 54 55 56 57 58...