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There are 3 radar stations and the probability of a single radar station detecting an enemy plane is 0.65. What is the probability of 2 stations detecting an enemy plane? Round your answer to nearest hundredth.
My question bout How do I use the TINV function within excel to back out the t-statistic for the test? Why did you use the TDIST function? I know ho to use the TINV function, but what does it mean to back out the t-statistic for the test?
Utilize a test of the difference among proportions when answering these questions. Illustrate the research hypothesis.
The mean number of passengers per flight is 160 with a standard deviation of 20. The aircraft used for the route has 200 seats.
What is the approximate probability that the combined weight of 25 items exceeds 445 ounces? What theorem is useful in answering this question?
Hypothesis test for two factors ANOVA. Describe what thses represent and, based on figure, whether there is a problem with the data r otherwise.
Consider that you are a line manager in your current Corporation. There is a 0.50 probability that you will be promoted this year. There is a 0.65 probability that you will get a promotion or a raise. The probability of getting a promotion and a r..
Computing from a large sample, one finds the 95% confidence interval for 956; to be {6.8, 14.2}. Based on this information alone, determine the 90% confidence interval for 956
How much time should be allowed if we wish to ensure that at least 9 out of 10 students (on average) can complete it? (round to the nearest minute).
For the preceding problem you should find that there are significant differences among the three treatments. One reason for the significance is that the sample variances are small.
Scores for men on the verbal portion of the SAT test are normally distributed with a mean 509 and a standard deviation of 112. Randomly selected men are given the Columbia
What would you recommend Taylor do to cut back its labor cost? (Illustrate using an ABC plan.)
The number of defective components produced by a certain process in one day has a Poisson distribution with mean 20. Each defective component has probability 0.6 of being repairable.
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