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Construct a normal probability plot for the fatigue-crack propagation data given in Exercise 39 (Chapter 1). Does it appear plausible that propagation life has a normal distribution? Explain.
Exercise 39 The propagation of fatigue cracks in various aircraft parts has been the subject of extensive study in recent years.
The accompanying data consists of propagation lives (flight hours/104) to reach a given crack size in fastener h oles intended for use in military aircraft ("Statistical Crack Propagation in Fastener Holes Under Spectrum Loading," J. Aircraft, 1983: 1028-1032):
a. Compute and compare the values of the sample mean and median.
b. By how much could the largest sample observation be decreased without affecting the value of the median
the irs was interested in the number of individual tax forms prepared by small accounting firms. the irs randomly
records indicate that on average 3.2 breakdowns per day occur on an urban highway during the morning rush hour.
A statistical study reported that a drug was effective with a p-value of .042. (a) Is this true? An effective sample may be found about 42 times in 1000 samples.
Use two-way ANOVA methods to compare the mean change in TBUT immediately post-instillation against baseline according to participant (1, 2, . . . , 14) and nonblink time period (3 sec vs. 6 sec vs. 10 sec).
a recent harris poll on green behavior showed that 25 of adults often purchase used items instead of new ones. consider
When the non-parametric statistics utilized? Write down an example.
A sample of the math test scores of 35 fourth-graders has a mean of 82 with a standard deviation of 15.
Determine the percentage of defective washers produced by this machine, assuming the diameters are normally distributed.
Assume that passengers are equally likely to choose each train. How many seats must a train have to assure a probability of .99 or better of having a seat for each passenger?
the boston public school district has had difficulty maintaining on-time bus service for its students a year later
Calculate A x(110) and write it as a sum of three terms, namely, the expected present value of benefits when: (x) dies at a time strictly before the death of (y)
How do I define the the population and select a simple random sample of size n from the population? A random sample of n=12 values taken from a normally distributed population resulted in the following sample value:
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