Find the indicated probability using the standard nomal distribution. P(z<-0.07) Click here to view page 1 of the standard nomal table. Click here to view page 2 of the standard normal table. P(z< -0.07)= (Round to four decimal places as needed.)
Find the indicated probability using the standard nomal distribution. P(z<-0.07) Click here to view page 1 of the standard nomal table. Click here to view page 2 of the standard normal table. P(z< -0.07)= (Round to four decimal places as needed.)
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
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Transcribed Image Text:Find the indicated probability using the standard nomal distribution.
P(z<-0.07)
Click here to view page 1 of the standard normal table.
Click here to view page 2 of the standard normal table.
P(z< -0.07) = (Round to four decimal places as needed.)
Enter your answer in the answer box and then click Check Answer.
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Transcribed Image Text:Area under the standard normal distribution to the left of Z (page 1)
.09
.08
.07
.06
.05
.04
.03
.02
.01
.00
-3.4
0002
.0003
.0003
.0003
.0003
0003 .0003
.0003
0003
.0003
-3.3
0003
.0004
.0004
.0004
.0006
.0004
.0004 .0004
.0005
.0005
.0005
-3.2
-3.1
.0005
.0005
.0005
.0006
0006 .0006
.0006
0007
0007
.0007
.0007
.0008
.0008
.0008
.0008 .0009
,0009
0009
.0010
-3.0
.0010
.0010
.0011
.0011
.0011
.0012 .0012
0013
.0013
.0013
2.9
.0014
.0014
.0015
.0015
.0016
0016 .0017
.0018
.0018
.0019
-2.8
.0019
.0020
.0021
.0021
.0022
.0023 .0023
.0024
.0025
.0026
-2.7
.0026
0027
.0028
.0029
.0030
0031 .0032
0033
.0034
.0035
-2.6
.0036
.0037
.0038
.0039
0040
.0041 .0043
.0044
.0045
.0047
-2.5
0048
.0049
.0051
.0052
.0054
.0055
.0057
.0059
.0060
.0062
-2.4
.0064
.0066
.0068
.0069
.0071
.0073 .0075
0078
.0080
.0082
-2.3
.0084
.0087
.0089
.0091
.0094
.0096
.0099
.0102
.0104
.0107
.0113
.0146
-2.2
.0110
.0116 .0119
.0122
0125 .0129
0132 0136
.0139
-2.1
.0143
.0150 .0154
.0158
.0162 .0166
0170
.0174
.0222
.0179
-2.0
.0183
.0188
.0192 .0197
.0202
.0207 .0212
.0217
.0228
-1.9
0233
.0239
.0244
.0250
.0256
.0262
.0268
.0274
0281
.0287
-1.8
.0294
.0301
.0307
.0314
.0322
.0329
.0336
.0344
.0351
.0359
1.7
.0367
.0375
.0384
.0392
.0401
.0409
.0418
.0427
.0436
.0446
-1.6
.0455
.0465
.0475
.0485
.0495
.0505
.0516
.0526
.0537
.0548
-1.5
.0559
.0571
0582
.0594
.0606
.0618
0630
.0643
0655
.0668
-1.4
.0681
.0694
.0708
.0721
,0735
.0749
0764
.0778
.0793
.0808
-1.3
.0823
.0838
.0853
.0869
.0951
.0968
.0885
.1056
.0901
.1075
.0918
.0934
-1.2
.0985
.1003
1020
.1038
.1093
.1112
1131
.1151
-1.1
1170
.1190
1210
.1230
1251
1271
1292
1314
.1335
.1357
-1.0
.1379
1401
.1423
1446
.1469
1492
.1515
.1539
1562
.1587
-0.9
.1611
.1635
1660
.1685
1711
1736
.1762
1788
1814
.1841
2005
2296
2611
-0.8
1867
.1894
.1922
1949
1977
2033
2061
2090
.2119
-0.7
2148
2177
2206
2236
2266
2327
.2358
2389
2420
-0.6
2451
2483
2514
2546
2578
2643
2676
2709
2743
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