A certain article reported the following observations, listed in increasing order, on drill lifetime (number of holes that a drill machines before it breaks) when holes were drilled in a certain brass alloy. 10 13 19 22 30 35 40 45 47 50 78 79 58 64 66 67 70 74 77 60 80 83 86 90 91 92 96 98 100 103 104 104 113 119 122 137 138 142 147 159 161 169 184 207 247 264 288 322 389 513 LAUSE SALT Compute the sample median, sample mean, 10% trimmed mean, and 25% trimmed mean for the lifetime data. (Round 25% trimmed mean to four decimal places.) sample median sample mean 10% trimmed mean 25% trimmed mean

The data show the population (in thousands) for a recent year of a sample of cities in South Carolina. 13 21 24 26 66 16 23 15 16 30 28 35 90 18 30 26 21 27 103 48 22 48 106 34  33 56  the data value---? Corresponds to the 48th percentile?

Are the snow conditions a factor in the number of visitors at a ski resort? The table below shows data that was collected. Hard Packed Machine Made Powder 2457 1401 1708 1484 1895 2193 2334 1849 2803 1816 1870 1842 1792 1873 2969 2219 989 1791 1504 1917 2143 1265 1881 1545 2341 1531 Assume that all distributions are normal, the three population standard deviations are all the same, and the data was collected independently and randomly. Use a level of significance of a = 0.05. Ho: µi = µ2 = µ3 H1: At least two of the means differ from each other. 1. For this study, we should use Select an answer v 2. The test-statistic for this data = (Please show your answer to 3 decimal places.) 3. The p-value for this sample = (Please show your answer to 4 decimal places.) 4. The p-value is Select an answer 5. Base on this, we should Select an answer v hypothesis 6. As such, the final conclusion is that... O There is insufficient evidence to support the claim that snow conditions is a factor in the…

1. Sample data for the number of deaths attributed to UV radiation in African countries in the year 2002 is given in table. 50 84 31 338 504 40 7 58 204 15 27 39 1 45 174 98 94 199 27 58 356 45 94 26 171 13 57 138 39 3 171 41 1177 102 123 433 35 40 456 125 (a) Find the mean and standard deviation. (b) Use Chebyshev's theorem to find an interval centered about the mean number of deaths from UV radiation in which you would expect at least 75% of the numbers to fall.