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For a sample with n=36, the mean duration of a geyser is 3.55 minutes and the standard deviation is 0.63 mintues. Using chebychev's theory, determine at how many of the eruptions lasted between 2.29 and 4.81 mintues.
Exam is given to 20 randomly chosen students and their average length of t time needed to finish exam was 54 minutes with standard deviation of 5.99 minutes. Test instructor's claim at the 0.05 level of significance.
Minutes of activity for lean people gad N(526, 107). Withink what limits do active minutes for about 95% of people in each group fall? Use the 68-95-99.7 rule.
In the Cash Now lottery game there are 10 finalists who submitted entry tickets on time. From these 10 tickets three grand prize winners will be drawn.
A sample proportion is calculated from a sample size of 394. How large of a sample would we need in order to decrease the standard error by a factor of 9?
Frequently, tests tha yeild abnormal results are repeated for confirmation. What is the probability that for a normal person a test will be at least 1.5 times as high as the upper limit of normal on two seperate occasions.
State a type I error and describe why it happens. Describe the factor that researcher can control to change type I error. Also, describe how type I errors can be avoided.
Probability values based on normal distribution - What can you say about the shape of the distribution of sample mean and find the standard error of the distribution of the sample mean?
What is the probability of at least three hacker attempts during a month? What is the probability of a hacker attempt occurring every 15 days or less (assume a 30 day month).
Suppose that 30% of the population has black hair. In a randomly-selected group of six people, how probable is it that
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
where 1 = smooth-yellow, 2 = smooth-green, 3 = wrinkled-yellow, and 4 = wrinkled-green. Can the measures of variation be obtained for these values? Do the results make sense?
What sample size and acceptable level would result in a probability of .05 that a good batch will be rejected and a probability of .10 that a bad batch will be accepted?
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