An M/M/1 queue has Poisson arrivals and exponential service times. You can pick arrival and service rates and watch a real-time simulation. Coded by Johnny Tyme (J. Tong).
is Monday December 7, from 11:30 to 2:20 in the usual room.
An M/M/1 queue has Poisson arrivals and exponential service times. You can pick arrival and service rates and watch a real-time simulation. Coded by Johnny Tyme (J. Tong).
You can simulate Weibull random variables and plot the histogram of your simulation and the density on the same axes. Coded by Russ Keldorph.
Simulate sample paths of a Poisson process. Coded by Dale Everett.
In testing equality of two variances, the test statistic no longer has an F distribution. under an alternative hypothesis. You can see the correct probability density of the test statistic, (sample var1)/(sample var2), where the numerator df are 10 and the denominator df are 8, by selecting the actual ratio c = var1/var2 of population variances along the axis provided. Coded by Derrick Whittle.
Upper tail probabilities and upper cutoffs for chi-squares can be found here. Sorry, the current version does not run on Macs. Coded by Yonatan Feldman.
The text is Probability and Statistical Inference by R. Hogg and A. Tanis. 5 th Ed. Assigned problems Section in 5th ed. (old) Section in 4th ed. Problems 5.2 5.2 1,3,6,8,11 5.3 5.3 1,2,11,12,13 5.4 5.4 1,2,5,7 5.5 5.5 1,4,7,8,11,12,14 (same as 15 in 4th ed.) 3.7 3.7 1,3,5 (same as 6 in 4th ed.) ,12 4.2 4.2 6,8,13 4.3 4.3 1,6,14 4.3 4.3 9,11,13,14,17 4.4 4.4 20 (19 in 4th ed.) 5.7 1,2, 11.6 5.7 4, 5, 7 (9 in 4th) 5.7 8 6.1 6.6 1,2,3, 6 (5in 4thed.), 9 (7 in 4th ed.) 6.1 6.1 10 (1 in 4th ed.) ,11 (2 in 4th ed.) ,15 (6 in old) 6.2 6.2 11 (7 old), 13 (10 old),12 (9 old) 6.3 6.2 5, (16 old), 7 (18 old), 2 (13 old) 6.4 6.3 2,1,6,8 (7 old ) 6.5 6.4 2,9, 16 (formerly 13) 6.6 6.5 1,7,12 7.2 7.2 1,12 7.1 7.1 1 7.3 7.3 1,7 7.4 7.4 14 (13 in old ), 2 12.5 7.5 2,3 12.6 7.6 4,8 8.3 8.4 3,8 7.5 9.5 6,2 7.5 9.5 11 (formerly 12) , 12 (formerly 13 )