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(See Exercise 4 from "Problems On Random Vectors and Joint Distributions", m-file npr08_04.m ). As a variation of [link] , suppose a pair of dice is rolled instead of a single die. Determine the joint distribution for and determine .
npr08_04 Answers are in X, Y, P
jcalc- - - - - - - - - - - -
EX = X*PX'EX = 7
EY = Y*PY'EY = 3.5000
EX2 = (X.^2)*PX'EX2 = 54.8333
EY2 = (Y.^2)*PY'EY2 = 15.4583
(See Exercise 5 from "Problems On Random Vectors and Joint Distributions", m-file npr08_05.m ). Suppose a pair of dice is rolled. Let X be the total number of spots which turn up. Roll the pair an additional X times. Let Y be the number of sevens that are thrown on the X rolls. Determine the joint distribution for and determine .
npr08_05 Answers are in X, Y, P, PY
jcalc- - - - - - - - - - - -
EX = X*PX'EX = 7.0000
EY = Y*PY'EY = 1.1667
(See Exercise 6 from "Problems On Random Vectors and Joint Distributions", m-file npr08_06.m ). The pair has the joint distribution:
Determine , , , , and .
npr08_06 Data are in X, Y, P
jcalc- - - - - - - - - - - -
EX = X*PX'EX = 1.3696
EY = Y*PY'EY = 3.0344
EX2 = (X.^2)*PX'EX2 = 9.7644
EY2 = (Y.^2)*PY'EY2 = 11.4839
EXY = total(t.*u.*P)EXY = 4.1423
(See Exercise 7 from "Problems On Random Vectors and Joint Distributions", m-file npr08_07.m ). The pair has the joint distribution:
t = | -3.1 | -0.5 | 1.2 | 2.4 | 3.7 | 4.9 |
u = 7.5 | 0.0090 | 0.0396 | 0.0594 | 0.0216 | 0.0440 | 0.0203 |
4.1 | 0.0495 | 0 | 0.1089 | 0.0528 | 0.0363 | 0.0231 |
-2.0 | 0.0405 | 0.1320 | 0.0891 | 0.0324 | 0.0297 | 0.0189 |
-3.8 | 0.0510 | 0.0484 | 0.0726 | 0.0132 | 0 | 0.0077 |
Determine , , , , and .
npr08_07 Data are in X, Y, P
jcalc- - - - - - - - - - - -
EX = X*PX'EX = 0.8590
EY = Y*PY'EY = 1.1455
EX2 = (X.^2)*PX'EX2 = 5.8495
EY2 = (Y.^2)*PY'EY2 = 19.6115
EXY = total(t.*u.*P)EXY = 3.6803
(See Exercise 8 from "Problems On Random Vectors and Joint Distributions", m-file npr08_08.m ). The pair has the joint distribution:
t = | 1 | 3 | 5 | 7 | 9 | 11 | 13 | 15 | 17 | 19 |
u = 12 | 0.0156 | 0.0191 | 0.0081 | 0.0035 | 0.0091 | 0.0070 | 0.0098 | 0.0056 | 0.0091 | 0.0049 |
10 | 0.0064 | 0.0204 | 0.0108 | 0.0040 | 0.0054 | 0.0080 | 0.0112 | 0.0064 | 0.0104 | 0.0056 |
9 | 0.0196 | 0.0256 | 0.0126 | 0.0060 | 0.0156 | 0.0120 | 0.0168 | 0.0096 | 0.0056 | 0.0084 |
5 | 0.0112 | 0.0182 | 0.0108 | 0.0070 | 0.0182 | 0.0140 | 0.0196 | 0.0012 | 0.0182 | 0.0038 |
3 | 0.0060 | 0.0260 | 0.0162 | 0.0050 | 0.0160 | 0.0200 | 0.0280 | 0.0060 | 0.0160 | 0.0040 |
-1 | 0.0096 | 0.0056 | 0.0072 | 0.0060 | 0.0256 | 0.0120 | 0.0268 | 0.0096 | 0.0256 | 0.0084 |
-3 | 0.0044 | 0.0134 | 0.0180 | 0.0140 | 0.0234 | 0.0180 | 0.0252 | 0.0244 | 0.0234 | 0.0126 |
-5 | 0.0072 | 0.0017 | 0.0063 | 0.0045 | 0.0167 | 0.0090 | 0.0026 | 0.0172 | 0.0217 | 0.0223 |
Determine , , , , and .
npr08_08 Data are in X, Y, P
jcalc- - - - - - - - - - - - -
EX = X*PX'EX = 10.1000
EY = Y*PY'EY = 3.0016
EX2 = (X.^2)*PX'EX2 = 133.0800
EY2 = (Y.^2)*PY'EY2 = 41.5564
EXY = total(t.*u.*P)EXY = 22.2890
(See Exercise 9 from "Problems On Random Vectors and Joint Distributions", m-file npr08_09.m ). Data were kept on the effect of training time on the time to performa job on a production line. X is the amount of training, in hours, and Y is the time to perform the task, in minutes. The data are as follows:
t = | 1 | 1.5 | 2 | 2.5 | 3 |
u = 5 | 0.039 | 0.011 | 0.005 | 0.001 | 0.001 |
4 | 0.065 | 0.070 | 0.050 | 0.015 | 0.010 |
3 | 0.031 | 0.061 | 0.137 | 0.051 | 0.033 |
2 | 0.012 | 0.049 | 0.163 | 0.058 | 0.039 |
1 | 0.003 | 0.009 | 0.045 | 0.025 | 0.017 |
Determine , , , , and .
npr08_09 Data are in X, Y, P
jcalc- - - - - - - - - - - -
EX = X*PX'EX = 1.9250
EY = Y*PY'EY = 2.8050
EX2 = (X.^2)*PX'EX2 = 4.0375
EY2 = (Y.^2)*PY' EXY = total(t.*u.*P)EY2 = 8.9850 EXY = 5.1410
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