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A physical fitness asociation is including the mile run in its secondary -school fitness test .The time for this event for boys in secondary is known to posses a normal distribution with a mean of 450 seconds and a standard deviation of 50 seconds .Find the probability that a randomly selected boy in secondary school can run the mile in less than 335 seconds.
The letters of the word PRESERVE are arranged at random. Then what is the probability that all the 3 E's occur together??
Is there a significant difference between the lengths of front and rear legs of a certain breed of horses. The results of the measurements in inches made in 10 of these animals are:
He is twice as likely to visit city X than the other city. Obtain the transition probability matrix. Also determine the proportionate visits by him to each of the cities in the long run.
Explain the independent variable, covariate, and levels (groups) of eah. Also, explain the dependent variable and its associated measurement scale and expected outcome.
Compute Cronbach's alpha on the scale provided on pp. 710-711 of the Field text using the SAQ.sav file.
The manufacture of the X-15 steel belted radial truck tire claims that the mean mileage the tire can be driven before the tread wears out is 60,000 miles.
Time spent using email per session is normally distributed with μ = 8 minutes and σ = 2 minutes. a) What is the probability that the sample mean is between 7.8 and 8.2 minutes?
When do you use a one-tailed test? How do you find the critical values for one-and two tailed tests? When do you reject the null hypothesis? Under what circumstances is the null accepted?
Does it seem prevention plans were effective in reducing mean amount of a claim? Use 0.05 level of significance. Set up Null and Alternate Hypothesis.
A test of 45 capsules had a mean weight of 20.9 milligrams and a standard deviation of 0.3 milligrams. Test the makers claim at the 95% confidence level.
For each of the following populations, would a score of X = 50 be considered a central score (near the middle of the distribution) or an extreme score (far out in the tail of the distribution)?
He randomly selects a sample of 10 items of the procduct from a large lot ready to be shipped. He (given that) the true proportion of perfect condition items is only 80% what is the probability that the lot will not be shipped?
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