The length of a fully grown hibiscus plants is normally distributed and has a mean of 35cm. It is found that 5% of these plants are longer than 45cm.1.Find the standard deviation σ using the Normal Distribution table.2.When plants are chosen for sale, those shorter than 30cm are rejected. Find the probability that a plant will be rejected. Watch Containment...E What is a Metaphor...Devices - 4G Device...10.4960 .4920.4562.4168.3783.3446 .3409.0002.03.04.05.06.07.09080.0.50000.1 .46020.2.4880.44834090.4840.4443 .4404 .4364 .4325.405236693300.4801.4761.4721.4522.4129.3745.3372.4681.4286.3897.46414247.3859.34833121.4207.4013.3632.3264 .3228 .3192 .3156.3974.3594 3557 .35200.33821.3936.3707.33360.40.50.63050.2709.2389.2090.3085.2743.3015.2676.2358.2061.1788.2981.2643.2327.2033.1762.2946 .2912.2611 .2578.2296.2877.2546 .2514 .2483.2236.19491685 .1660 .1635.28432810.2776.2451.2148.1867.16110.7.2420.2266.2206 2177.1922 .18940.8 .2119.2005.19770.9 .1841.18141736 17111.0 .1587.1562.1539.1314.111209340778.1515.1292.10931492.1271107509010749.1469.12511056.08850735.1446.1230.1038.08690721.1423.1210.102008530708.1401.1379.1170.0985.0823.06811.11357.1335.1131.1190.1003.08381.2.11511.30968.0951.07931.4.0808.0764.06941.51.606680548.0655-0537.0436035102 810643.05260427034402740630061806060495040103220256.02118 02068. 02018.059404850392031402 50.05820475038403070244.0571046503750301.02390559.0455036702940233051605051.704461.80418040903591.90336-032902870268 02622.02.12.22.32.402275.01786.013900107202222017430135501044.0082000798 00776021690170001321010170165901618.01287 012550099000755.0157801222009390071401970.0192301539.01500.01191 011600091401876 01831.01463 01426.01130. 0110100964007340088900866.00842.00695 00676 00657 006392.5 .006212.6 .00466 .004532.7 .00347 .003362.8 .00256 .00248 .002402.9 .00187 .00181.001753.0 .001353.1 .000973.2 .000693.3 000483.4 :000343.5.0002300604.00587.00440.0032600570004270031700233001690055400415.00307002260053900402.00298.00289.00219 002 1200164 .00159.00154005230039100508-0037900280002 050014900494 0048000368 00357002720026400199 .0019300144.001393.63.70001600011

Given Information Mean µ = 35 P(X>45) =0.05 P (Z > z) = 0.05 P(Z <z) = 1 – 0.05 =0.95

Answered: The length of a fully grown hibiscus…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

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The length of a fully grown hibiscus plants is normally distributed and has a mean of 35cm. It is found that 5% of these plants are longer than 45cm.

1.Find the standard deviation σ using the Normal Distribution table.

2.When plants are chosen for sale, those shorter than 30cm are rejected. Find the probability that a plant will be rejected.

Watch Containment...
E What is a Metaphor...
Devices - 4G Device...
10
.4960 .4920
.4562
.4168
.3783
.3446 .3409
.00
02
.03
.04
.05
.06
.07
.09
08
0.0.5000
0.1 .4602
0.2
.4880
.4483
4090
.4840
.4443 .4404 .4364 .4325
.4052
3669
3300
.4801
.4761
.4721
.4522
.4129
.3745
.3372
.4681
.4286
.3897
.4641
4247
.3859
.3483
3121
.4207
.4013
.3632
.3264 .3228 .3192 .3156
.3974
.3594 3557 .3520
0.3
3821
.3936
.3707
.3336
0.4
0.5
0.6
3050
.2709
.2389
.2090
.3085
.2743
.3015
.2676
.2358
.2061
.1788
.2981
.2643
.2327
.2033
.1762
.2946 .2912
.2611 .2578
.2296
.2877
.2546 .2514 .2483
.2236
.1949
1685 .1660 .1635
.2843
2810
.2776
.2451
.2148
.1867
.1611
0.7
.2420
.2266
.2206 2177
.1922 .1894
0.8 .2119
.2005
.1977
0.9 .1841
.1814
1736 1711
1.0 .1587
.1562
.1539
.1314
.1112
0934
0778
.1515
.1292
.1093
1492
.1271
1075
0901
0749
.1469
.1251
1056
.0885
0735
.1446
.1230
.1038
.0869
0721
.1423
.1210
.1020
0853
0708
.1401
.1379
.1170
.0985
.0823
.0681
1.1
1357
.1335
.1131
.1190
.1003
.0838
1.2
.1151
1.3
0968
.0951
.0793
1.4
.0808
.0764
.0694
1.5
1.6
0668
0548
.0655
-0537
.0436
0351
02 81
0643
.0526
0427
0344
0274
0630
0618
0606
0495
0401
0322
0256
.02118 02068. 02018
.0594
0485
0392
0314
02 50
.0582
0475
0384
0307
0244
.0571
0465
0375
0301
.0239
0559
.0455
0367
0294
0233
0516
0505
1.7
0446
1.8
0418
0409
0359
1.9
0336
-0329
0287
0268 0262
2.0
2.1
2.2
2.3
2.4
02275
.01786
.01390
01072
02222
01743
01355
01044
.0082000798 00776
02169
01700
01321
01017
0165901618
.01287 01255
00990
00755
.01578
01222
00939
00714
01970.01923
01539.01500
.01191 01160
00914
01876 01831
.01463 01426
.01130. 01101
00964
00734
00889
00866
.00842
.00695 00676 00657 00639
2.5 .00621
2.6 .00466 .00453
2.7 .00347 .00336
2.8 .00256 .00248 .00240
2.9 .00187 .00181.00175
3.0 .00135
3.1 .00097
3.2 .00069
3.3 00048
3.4 :00034
3.5.00023
00604.00587
.00440
.00326
00570
00427
00317
00233
00169
00554
00415
.00307
00226
00539
00402
.00298.00289
.00219 002 12
00164 .00159.00154
00523
00391
00508
-00379
00280
002 05
00149
00494 00480
00368 00357
00272
00264
00199 .00193
00144.00139
3.6
3.7
00016
00011

Features Features Normal distribution is characterized by two parameters, mean (µ) and standard deviation (σ). When graphed, the mean represents the center of the bell curve and the graph is perfectly symmetric about the center. The mean, median, and mode are all equal for a normal distribution. The standard deviation measures the data's spread from the center. The higher the standard deviation, the more the data is spread out and the flatter the bell curve looks. Variance is another commonly used measure of the spread of the distribution and is equal to the square of the standard deviation.

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