Frozen computer: A computer system administrator noticed that computers running a particular operating system seem to freeze up more often as the installation of the operating system ages. She measures the time (in minutes) before freeze-up for 6 computers one month after installation and for 6 computers seven months after installation. The results are shown. Can you conclude that the time to freeze-up is more variable in the seventh month than the first month after installation? Let σ1 denote the variability in time to freeze-up in the first month after installation. Use the α=0.10 level and the critical value method with the table. One month: 207.4 233.1 215.9 235.1 225.6 244.4 Seven months: 84.3 53.2 127.3 201.3 174.2 246.2 State the null and alternate hypothesis

Find the mean and standard deviation for each uniform continuous model.(Round "Mean" answers to 1 decimal place and "Standard deviation" answers to 4 decimal places. a. U(3, 13) b. U(90, 190) c. U(3, 99)

Data shows the temperature for the months of Novemember 2020 and November 2021. Date 2020 2021   1-Nov 55 61   2-Nov 47 52   3-Nov 57 55   4-Nov 67 53   5-Nov 70 55   6-Nov 73 55   7-Nov 77 56   8-Nov 80 68   9-Nov 79 72   10-Nov 76 67   11-Nov 72 67   12-Nov 60 65   13-Nov 54 64   14-Nov 54 47   15-Nov 66 50   16-Nov 54 50   17-Nov 49 61   18-Nov 38 72   19-Nov 50 50   20-Nov 65 49   21-Nov 66 56   22-Nov 60 50   23-Nov 55 45   24-Nov 50 46   25-Nov 61 59   26-Nov 68 48   27-Nov 62 43   28-Nov 57 43   29-Nov 59 44   30-Nov 67 41   Please find the range and standard deviation

Serial correlation, also known as autocorrelation, describes the extent to which the result in one period of a time series is related to the result in the next period. A time series with high serial correlation is said to be very predictable from one period to the next. If the serial correlation is low (or near zero), the time series is considered to be much less predictable. For more information about serial correlation, see the book Ibbotson SBBI published by Morningstar. A research veterinarian at a major university has developed a new vaccine to protect horses from West Nile virus. An important question is: How predictable is the buildup of antibodies in the horse's blood after the vaccination is given? A large random sample of horses were given the vaccination. The average antibody buildup factor (as determined from blood samples) was measured each week after the vaccination for 8 weeks. Results are shown in the following time series. Original Time Series Week Buildup Factor 2 3 4…