第一次上机作业1.利用Matlab自带命令产生1000个均匀随机变量服从U(0,1)。

>>unifrnd(0,1,20,50)ans=Columns1through100.81470.65570.43870.75130.35170.16220.10670.85300.78030.54700.90580.03570.38160.25510.83080.79430.96190.62210.38970.29630.12700.84910.76550.50600.58530.31120.00460.35100.24170.74470.91340.93400.79520.69910.54970.52850.77490.51320.40390.18900.63240.67870.18690.89090.91720.16560.81730.40180.09650.68680.09750.75770.48980.95930.28580.60200.86870.07600.13200.18350.27850.74310.44560.54720.75720.26300.08440.23990.94210.36850.54690.39220.64630.13860.75370.65410.39980.12330.95610.62560.95750.65550.70940.14930.38040.68920.25990.18390.57520.78020.96490.17120.75470.25750.56780.74820.80010.24000.05980.08110.15760.70600.27600.84070.07590.45050.43140.41730.23480.92940.97060.03180.67970.25430.05400.08380.91060.04970.35320.77570.95720.27690.65510.81430.53080.22900.18180.90270.82120.48680.48540.04620.16260.24350.77920.91330.26380.94480.01540.43590.80030.09710.11900.92930.93400.15240.14550.49090.04300.44680.14190.82350.49840.35000.12990.82580.13610.48930.16900.30630.42180.69480.95970.19660.56880.53830.86930.33770.64910.50850.91570.31710.34040.25110.46940.99610.57970.90010.73170.51080.79220.95020.58530.61600.01190.07820.54990.36920.64770.81760.95950.03440.22380.47330.33710.44270.14500.11120.45090.7948Columns11through200.64430.31110.08550.03770.03050.05960.17340.95160.03260.25180.37860.92340.26250.88520.74410.68200.39090.92030.56120.29040.81160.43020.80100.91330.50000.04240.83140.05270.88190.61710.53280.18480.02920.79620.47990.07140.80340.73790.66920.26530.35070.90490.92890.09870.90470.52160.06050.26910.19040.82440.93900.97970.73030.26190.60990.09670.39930.42280.36890.98270.87590.43890.48860.33540.61770.81810.52690.54790.46070.73020.55020.11110.57850.67970.85940.81750.41680.94270.98160.3439 0.62250.25810.23730.13660.80550.72240.65690.41770.15640.5841 0.58700.40870.45880.72120.57670.14990.62800.98310.85550.1078 0.20770.59490.96310.10680.18290.65960.29200.30150.64480.9063 0.30120.26220.54680.65380.23990.51860.43170.70110.37630.8797 0.47090.60280.52110.49420.88650.97300.01550.66630.19090.8178 0.23050.71120.23160.77910.02870.64900.98410.53910.42830.2607 0.84430.22170.48890.71500.48990.80030.16720.69810.48200.5944 0.19480.11740.62410.90370.16790.45380.10620.66650.12060.0225 0.22590.29670.67910.89090.97870.43240.37240.17810.58950.4253 0.17070.31880.39550.33420.71270.82530.19810.12800.22620.3127 0.22770.42420.36740.69870.50050.08350.48970.99910.38460.1615 0.43570.50790.98800.19780.47110.13320.33950.17110.58300.1788Columns21through300.42290.77880.25480.17590.64760.58220.40460.34770.82170.5144 0.09420.42350.22400.72180.67900.54070.44840.15000.42990.8843 0.59850.09080.66780.47350.63580.86990.36580.58610.88780.5880 0.47090.26650.84440.15270.94520.26480.76350.26210.39120.1548 0.69590.15370.34450.34110.20890.31810.62790.04450.76910.1999 0.69990.28100.78050.60740.70930.11920.77200.75490.39680.4070 0.63850.44010.67530.19170.23620.93980.93290.24280.80850.7487 0.03360.52710.00670.73840.11940.64560.97270.44240.75510.8256 0.06880.45740.60220.24280.60730.47950.19200.68780.37740.7900 0.31960.87540.38680.91740.45010.63930.13890.35920.21600.3185 0.53090.51810.91600.26910.45870.54470.69630.73630.79040.5341 0.65440.94360.00120.76550.66190.64730.09380.39470.94930.0900 0.40760.63770.46240.18870.77030.54390.52540.68340.32760.1117 0.82000.95770.42430.28750.35020.72100.53030.70400.67130.1363 0.71840.24070.46090.09110.66200.52250.86110.44230.43860.6787 0.96860.67610.77020.57620.41620.99370.48490.01960.83350.4952 0.53130.28910.32250.68340.84190.21870.39350.33090.76890.1897 0.32510.67180.78470.54660.83290.10580.67140.42430.16730.4950 0.10560.69510.47140.42570.25640.10970.74130.27030.86200.1476 0.61100.06800.03580.64440.61350.06360.52010.19710.98990.0550Columns31through400.85070.73860.55230.12390.73780.55900.17810.89490.63110.6925 0.56060.58600.62990.49040.06340.85410.35960.07150.08990.5567 0.92960.24670.03200.85300.86040.34790.05670.24250.08090.3965 0.69670.66640.61470.87390.93440.44600.52190.05380.77720.0616 0.58280.08350.36240.27030.98440.05420.33580.44170.90510.78020.81540.62600.04950.20850.85890.17710.17570.01330.53380.33760.87900.66090.48960.56500.78560.66280.20890.89720.10920.60790.98890.72980.19250.64030.51340.33080.90520.19670.82580.74130.00050.89080.12310.41700.17760.89850.67540.09340.33810.10480.86540.98230.20550.20600.39860.11820.46850.30740.29400.12790.61260.76900.14650.94790.13390.98840.91210.45610.74630.54950.99000.58140.18910.08210.03090.54000.10400.10170.01030.48520.52770.92830.04270.10570.93910.70690.74550.99540.04840.89050.47950.58010.63520.14200.30130.99950.73630.33210.66790.79900.80130.01700.28190.16650.29550.28780.56190.29730.60350.73430.22780.12090.53860.62100.33290.41450.18420.06200.52610.05130.49810.86270.69520.57370.46710.46480.59720.29820.72970.07290.90090.48430.49910.05210.64820.76400.29990.04640.70730.08850.57470.84490.53580.93120.02520.81820.13410.50540.78140.79840.84520.20940.44520.72870.84220.10020.21260.76140.28800.9430Columns41through500.68370.78940.11230.67330.09860.98790.59750.75930.80920.75190.13210.36770.78440.42960.14200.17040.33530.74060.74860.22870.72270.20600.29160.45170.16830.25780.29920.74370.12020.06420.11040.08670.60350.60990.19620.39680.45260.10590.52500.76730.11750.77190.96440.05940.31750.07400.42260.68160.32580.67120.64070.20570.43250.31580.31640.68410.35960.46330.54640.71520.32880.38830.69480.77270.21760.40240.55830.21220.39890.64210.65380.55180.75810.69640.25100.98280.74250.09850.41510.41900.74910.22900.43260.12530.89290.40220.42430.82360.18070.39080.58320.64190.65550.13020.70320.62070.42940.17500.25540.81610.74000.48450.10980.09240.55570.15440.12490.16360.02050.31740.23480.15180.93380.00780.18440.38130.02440.66600.92370.81450.73500.78190.18750.42310.21200.16110.29020.89440.65370.78910.97060.10060.26620.65560.07730.75810.31750.51660.93260.85230.86690.29410.79780.72290.91380.87110.65370.70270.16350.50560.08620.23740.48760.53120.70670.35080.95690.15360.92110.63570.36640.53090.76900.10880.55780.68550.93570.95350.79470.95090.36920.09150.39600.63180.31340.29410.45790.54090.57740.44400.68500.40530.27290.12650.16620.53060.24050.67970.44000.06000.59790.10480.03720.13430.62250.83240.76390.03660.25760.8667 2.参考课本综合例题2.5.4和2.5.5中的方法，模拟产生1000个随机变量，使其服从参数为2的指数分布，进而计算这1000个随机数的均值和方差。