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To find the probability of an event relies on past history of record data.
The relative frequency method of calculating the probability of an event relies on past history of recorded data for that event rather than on the number of favorable simple events out of the total number of outcomes of the event. For example, the probability that Joe will get a strike on his next try, given that he has bowled a strike 15 out of 20 times at the same bowling alley, is 15 over 20, 75%. Apply this same kind of thinking to the problem below.
Flights on Time
Flights Late < ½ Hour
Flights Late > ½ Hour
856
95
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Your friend is arriving on the next flight from Chicago to Philadelphia. What is the probability that his plane will be on time? Record your answer to the nearest tenth of a percent. Show your method.
P(plane on time) =
If you were the flight supervisor for trips from the Midwest to the Middle Atlantic region, would you be pleased with Fly Wright's on time performance?
Conduct post hoc comparisons with the LSD method. Which groups differ significantly at α = 0.05?
A random sample of 100 students at Southern University was collected. The mean age was found to be 24.2 years, with a standard deviation of 3.4 years.
Use the marginal probabilities of school quality, school cost or convenience, and other to comment on the most important reason for choosing a school.
Draw a simulation experiment for car agency and simulate using fleet of four rental cars for 10 days.
Probability using discrete distribution.The probability distribution for the random variable x follows.
Let 3 trails (they may not be independent), each of which is either success or not. Let X denotes number of successes. Assume E[X] = 1.8. Determine the largest possible value of P(X=3)?
Compare your best difference to the result from an ordinary two-sample t-test between these groups. Comment the difference.
For a sample with standard deviation of 10, a score of X = 44 corresponds to z-score of 0.50. Based on this info, determine the sample mean?
By using this data and incorporating seasonal effects, predict quarterly turnover for 2010.
Assume you choose 20 houses at random. On average, how many houses of twenty would you expect to have DVD? Determine standard deviation of number of houses with DVD?
Calculate the Pearson correlation for these data also determine whether there is a significant correlation among attitudes for husbands also wives.
Formulate the hypotheses to determine whether or not the lathe is in perfect adjustment.
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