The height of 2 year old children are normally distributed with a mean of 32 inches and standard deviation of 1.5 inches. Pediatricians regularly measure the heights of toddlers to determine whether there is a problem. There may be a problem when a child is in the top or bottom 5% of heights. Determine the heights of 2 year old children that could be a problem. Find the probability of these events: a. A 2-year-old is taller than 36 inches. b. A 2-year-old is shorter than 34 inches. c. A 2-year-old is between 30 and 33 inches tall.   NOTE: Answer the following questions stated above using the Normal Distribution Z table.(attached in the image). Compute and SHOW THE GRAPH of the answers too.

A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
Chapter1: Combinatorial Analysis
Section: Chapter Questions
Problem 1.1P: a. How many different 7-place license plates are possible if the first 2 places are for letters and...
icon
Related questions
Question
100%

2. The height of 2 year old children are normally distributed with a mean of 32 inches and standard deviation of 1.5 inches. Pediatricians regularly measure the heights of toddlers to determine whether there is a problem. There may be a problem when a child is in the top or bottom 5% of heights. Determine the heights of 2 year old children that could be a problem.

Find the probability of these events:

a. A 2-year-old is taller than 36 inches.

b. A 2-year-old is shorter than 34 inches.

c. A 2-year-old is between 30 and 33 inches tall.

 

NOTE: Answer the following questions stated above using the Normal Distribution Z table.(attached in the image). Compute and SHOW THE GRAPH of the answers too.

Areas Under the One-Tailed Standard Normal Curve
This table provides the area between
the meanand some Z score.
For example, whenz score = 1.45
0.4265
the area - 0.4265.
145
0.00
0.01
0.02
0.03
0.04
0.05
0.06
0.08
0.09
0.0
0.0199 0.0239
0.0000
0.0398
0.0040
0.0080
0.0120
0.0160
0.0279
0.0319
0.0359
0.1
0.0438
0.0478
0.0517
0.0557
0.056
0.0636
0.0987 0.1026
0.0675
0.0714
0.0753
0.0910
0.0832 0.0871
0.1217
0.0948
0.1331
0.1064
0.1443
0.2
0.0793
0.1103
0.1141
0.1255
0.1368
0.1736 0.1772
0.3
0.1480
0.1179
0.1554
0.1293
0.1406
0.1517
0.4
0.1591
0.1628
0.1664
0.1700
0.1808
0.1844
0.1879
0.5
0.1915
0.1900
0.1985
0.2019
D.2054
0.2083
0.2123
0.2157
0.2190
0.2224
0.2422 0.2454
0.2734 0.2764
0.6
0.2257
0.2291
0.2324
0.2357
0.2389
0.2486
0.2517
0.2549
0.2073
0.2967
0.7
0.2580
0.2611
0.2642
D.2704
0.2794
0.2823
0.2852
0.8
0.2881
0.2910
0.2939
0.2995
0.3023
0.3051
0.3078 0.3106
0.3133
0.9
0.3159
0.3180
0.3212
0.3238
0.3264
0.3289
0.3315
0.3340
0.3365
0.3389
1.0
0.3485
0.3413
0.3643
0.3438
0.3461
D.3508
0.3531
0.3554
0.3577
0.3599
0.3621
0.3708
0.3907
1.1
0.3665
0.3686
0.3729
0.3749 0.3770
0.3790
0.3810
0.3830
0.388
0.4066
1.2
0.3849
D.3869
0.3925
0.3944
0.3962
0.3980
0.3997
0.4015
1.3
0.4032
0.4049
0.4082
0.4099
0.4115
0.4131
0.4147
0.4162
0.4177
1.4
0.4192
0.4207
0.4222
0.4236
D.4251
0.4265
0.4279
0.4292
0.4306
0.4319
1.5
0.4332
0.4345
0.4357
0.4370
0.4382
0.4394
0.4406
0.4418
0.4429
0.4441
1.6
0.4452
0.4463
0.4474
0.4484
0.4495
0,4505
0.4515
0.4525
0.4535
0.4545
1.7
0.4554
0.4564
0.4573
0.4582
0.4608
0.4591
0.4671
0.4599
0.4616
0.4625
0.4633
1.3
0.4641
0.4649
0.4656
0.4664
0.4678
0.4686
0.4693
0.4699
0.4706
0.4726
0.4783
0.4830
1.9
0.4713
0.4719
0.4732
0.4738
0.4744
0.4750
0.4756
0.4761
0.4767
2.0
0.4772
0.4778
0.4788
0.4793
0.4798
0.4803
0.4808
0.4812
0.4817
0.4834
0.4842 0.4846
0,4878
2.1
0.4821
0.4361
0.4826
0.4838
0.4850
0.4884
0.4854
0.4857
2.2
0.4804
0.4868
0.4871
0.4875
0.4881
0.4887
0.4890
2.3
0.4893
0.4896
0.4898
0.4901
0.4904
0.4906
0.4909
0.4911
0.4913
0.4916
0.4922
0.4925
0.4943
2.4
0.4918
0.4920
0.4927
0.4929
0.4931
0.4912
0.4934
0.4936
2.5
0.4938
0.4940
0.4941
0.4945
0.4946
0.4948
0.4949
0.4951
0.4952
2.6
0.4953
0.4965
0.4956
0.4960 0.4961
0.4957
0.4968
0.4977
0.4959
0.4962
0,4963 0.4964
2.7
0.4965
0.4966
0.4967
0.4969
0.4970
0.4971
0.4972
0.4973
0.4974
2.8
0.4974
0.4975
0.4976
0.4977
0.4978
0.4979
0.4979
0.4980
0.4981
2.9
0.4981
0.4932
0.4982
0.4983
0.4934
0.4984
0.4985
0.4985
0.4986
0.4986
3.0
0.4987
0.487
0.4987
0.4988
0.4988
0.4989 0.4989
0.4989
0.4990
0.4990
3.1
0.4990
0.4991
0.4991
0.4991
0.4992
0.4992
0.4992
0.4992
0.4993
0.4993
0.4994
0.4995
0.4993
0.4995
0.4995 0.4995
0.4996 0,4996
0.4997
3.2
0.4993
0.4994
0.4994
0.4994
0.4994
0.4996 0.4996
0.4997
3.3
0.4995
0.4995
0.4996
0.4996
0.4997
3.4
0.4997
0.4997
0.4997
0.4997
0.4997
0.4997
0.4997
0.4998
3.5
0.4998
0.4998
0.4998
0.4998
0.4998
0.4998
0.4998
0.4998
0.4998
0.4998
3.6
0.4998
0.4998
0.4999
0.4999
0.4999
0.4999
0.4999
0.4999
0.4999
0.4999
0.4999
0.4999 0.4999
0.4999
3.7
0.4999
0.4999
0.4999
0.4999
0.4999
0.4999 0.4999
3.8
0.4999
0.4999
0.4999
0.4999
0.4999
0.4999
0.4999
0.4999
0.4999
3.9
0.5000 0.5000
0.5000
0.5000
0.5000
0.5000
0.5000
0.5000
0.5000
0.5000
Transcribed Image Text:Areas Under the One-Tailed Standard Normal Curve This table provides the area between the meanand some Z score. For example, whenz score = 1.45 0.4265 the area - 0.4265. 145 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.08 0.09 0.0 0.0199 0.0239 0.0000 0.0398 0.0040 0.0080 0.0120 0.0160 0.0279 0.0319 0.0359 0.1 0.0438 0.0478 0.0517 0.0557 0.056 0.0636 0.0987 0.1026 0.0675 0.0714 0.0753 0.0910 0.0832 0.0871 0.1217 0.0948 0.1331 0.1064 0.1443 0.2 0.0793 0.1103 0.1141 0.1255 0.1368 0.1736 0.1772 0.3 0.1480 0.1179 0.1554 0.1293 0.1406 0.1517 0.4 0.1591 0.1628 0.1664 0.1700 0.1808 0.1844 0.1879 0.5 0.1915 0.1900 0.1985 0.2019 D.2054 0.2083 0.2123 0.2157 0.2190 0.2224 0.2422 0.2454 0.2734 0.2764 0.6 0.2257 0.2291 0.2324 0.2357 0.2389 0.2486 0.2517 0.2549 0.2073 0.2967 0.7 0.2580 0.2611 0.2642 D.2704 0.2794 0.2823 0.2852 0.8 0.2881 0.2910 0.2939 0.2995 0.3023 0.3051 0.3078 0.3106 0.3133 0.9 0.3159 0.3180 0.3212 0.3238 0.3264 0.3289 0.3315 0.3340 0.3365 0.3389 1.0 0.3485 0.3413 0.3643 0.3438 0.3461 D.3508 0.3531 0.3554 0.3577 0.3599 0.3621 0.3708 0.3907 1.1 0.3665 0.3686 0.3729 0.3749 0.3770 0.3790 0.3810 0.3830 0.388 0.4066 1.2 0.3849 D.3869 0.3925 0.3944 0.3962 0.3980 0.3997 0.4015 1.3 0.4032 0.4049 0.4082 0.4099 0.4115 0.4131 0.4147 0.4162 0.4177 1.4 0.4192 0.4207 0.4222 0.4236 D.4251 0.4265 0.4279 0.4292 0.4306 0.4319 1.5 0.4332 0.4345 0.4357 0.4370 0.4382 0.4394 0.4406 0.4418 0.4429 0.4441 1.6 0.4452 0.4463 0.4474 0.4484 0.4495 0,4505 0.4515 0.4525 0.4535 0.4545 1.7 0.4554 0.4564 0.4573 0.4582 0.4608 0.4591 0.4671 0.4599 0.4616 0.4625 0.4633 1.3 0.4641 0.4649 0.4656 0.4664 0.4678 0.4686 0.4693 0.4699 0.4706 0.4726 0.4783 0.4830 1.9 0.4713 0.4719 0.4732 0.4738 0.4744 0.4750 0.4756 0.4761 0.4767 2.0 0.4772 0.4778 0.4788 0.4793 0.4798 0.4803 0.4808 0.4812 0.4817 0.4834 0.4842 0.4846 0,4878 2.1 0.4821 0.4361 0.4826 0.4838 0.4850 0.4884 0.4854 0.4857 2.2 0.4804 0.4868 0.4871 0.4875 0.4881 0.4887 0.4890 2.3 0.4893 0.4896 0.4898 0.4901 0.4904 0.4906 0.4909 0.4911 0.4913 0.4916 0.4922 0.4925 0.4943 2.4 0.4918 0.4920 0.4927 0.4929 0.4931 0.4912 0.4934 0.4936 2.5 0.4938 0.4940 0.4941 0.4945 0.4946 0.4948 0.4949 0.4951 0.4952 2.6 0.4953 0.4965 0.4956 0.4960 0.4961 0.4957 0.4968 0.4977 0.4959 0.4962 0,4963 0.4964 2.7 0.4965 0.4966 0.4967 0.4969 0.4970 0.4971 0.4972 0.4973 0.4974 2.8 0.4974 0.4975 0.4976 0.4977 0.4978 0.4979 0.4979 0.4980 0.4981 2.9 0.4981 0.4932 0.4982 0.4983 0.4934 0.4984 0.4985 0.4985 0.4986 0.4986 3.0 0.4987 0.487 0.4987 0.4988 0.4988 0.4989 0.4989 0.4989 0.4990 0.4990 3.1 0.4990 0.4991 0.4991 0.4991 0.4992 0.4992 0.4992 0.4992 0.4993 0.4993 0.4994 0.4995 0.4993 0.4995 0.4995 0.4995 0.4996 0,4996 0.4997 3.2 0.4993 0.4994 0.4994 0.4994 0.4994 0.4996 0.4996 0.4997 3.3 0.4995 0.4995 0.4996 0.4996 0.4997 3.4 0.4997 0.4997 0.4997 0.4997 0.4997 0.4997 0.4997 0.4998 3.5 0.4998 0.4998 0.4998 0.4998 0.4998 0.4998 0.4998 0.4998 0.4998 0.4998 3.6 0.4998 0.4998 0.4999 0.4999 0.4999 0.4999 0.4999 0.4999 0.4999 0.4999 0.4999 0.4999 0.4999 0.4999 3.7 0.4999 0.4999 0.4999 0.4999 0.4999 0.4999 0.4999 3.8 0.4999 0.4999 0.4999 0.4999 0.4999 0.4999 0.4999 0.4999 0.4999 3.9 0.5000 0.5000 0.5000 0.5000 0.5000 0.5000 0.5000 0.5000 0.5000 0.5000
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps with 2 images

Blurred answer
Knowledge Booster
Point Estimation, Limit Theorems, Approximations, and Bounds
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, probability and related others by exploring similar questions and additional content below.
Similar questions
  • SEE MORE QUESTIONS
Recommended textbooks for you
A First Course in Probability (10th Edition)
A First Course in Probability (10th Edition)
Probability
ISBN:
9780134753119
Author:
Sheldon Ross
Publisher:
PEARSON
A First Course in Probability
A First Course in Probability
Probability
ISBN:
9780321794772
Author:
Sheldon Ross
Publisher:
PEARSON