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Below are the Intervals from primary AIDS diagnosis until death for a sample of 12 hemophiliac patients at most 40 years of age at HIV seroconversion.
ID
Survival
(months)
1
2
3
6
4
5
7
10
15
8
9
16
27
11
30
12
32
(a) Use the Kaplan-Meier (product-limit) method to estimate the survival function.
(b) Construct a survival curve based on the product-limit estimate.
(c) Estimate the median survival time
Suppose a company owns three cars that get 20 miles per gallon, two cars that get 22 miles per gallon and one car that gets 24 miles per gallon. Would the mean miles per gallon be 22?
Determine the margin of error that corresponds to the given values of n (times) and x (successes) and the degree of confidence: n=1400, x=420, 95%. Go 3 decimal places of precision.
The results shown below are mean productivity measurements (average number of assemblies completed per hour) for a random sample of workers at each of three plants.
A probability value of .25 means that an event will occur:
Shown below is computer ouput for a regression analysis relating Y (demand in units) and X (unit price).
What sample size is needed to estimate with 95% confidence the mean intake of calcium within 20 units of the true mean if the intake is from a normal distribution with a variance of 1900 units?
Find the probability of getting at most 25 lefties assuming that they are chosen with a process designed to yield a 12% rate of lefties.
If the population standard deviation is σ = 10, can you conclude that the treatment has a significant effect? Use a two-tailed with α = .05.
Suppose 94 percent of the items have lives exceeding 2000 h and 3.51 percent have lives exceeding 16,240 h. Find the mean and standard deviation of the service life.
In the Florida lottery, six numbers from 1 to 53 must be selected. to win the jackpot, the six numbers must match the draw numbers.
Randomly select a sample of five rental agencies. Start with row two and column two. The number is 90935. Use the first two numbers starting with 90.
Find the relative risk for moderate beer drinkers as compared to nondrinkers, finds the 95% confidence interval
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