(a) Describe the sampling distribution of 2 for a random sample of size 30. (b) When no unusual circumstances are present, we expect to be within 30, of 5mm, the desired value. An z value farther from 5 than 30, is interpreted as an indication of a problem that needs attention. Compute 5+ 30,

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STANDARD NORMAL DISTRIBUTION: Table Values Represent AREA to the LEFT of the Z score.
Z
.00
.01
.02
.09
0.0 50000
0.1 53983
0.2 57926
0.3
0.4
50399 50798
54380 54776
58317 58706
.61791 62172
65542 .65910
66276
0.5 .69146 .69497 69847
.73237
.76424
0.6
72575
75804
.72907
.76115
0.7
0.8
78814 .79103 79389
0.9
81594 .81859
83891
1.1
95449
96080 96164
96327
.96712
.96856 96926
.96995
97062
.96784
97441
97381
97500 97558 97615
97670
97932
97982
98030 98077 98124
98169
.03
.04
.05
.06
.07
.08
51197 51595 $1994 52392 52790 53188 53586
55172 55567 55962 56356 56749 57142 57535
59095 59483 59871 .60257 .60642 .61026 .61409
62552 .62930 .63307 .63683 .64058 .64431 .64803 .65173
.66640 .67003 .67364 .67724 68082 68439 .68793
.70194 .70540 .70884 .71226 .71566 .71904 .72240
.73565 .73891 74215 .74537 .74857 75175 .75490
.76730 .77035 77337 .77637 77935 .78230 .78524
.79673 .79955 80234 .80511
80785
81057 81327
.82121 .82381 .82639 .82894 .83147 .83398 .83646
1.0 84134 .84375 .84614 .84849 85083 .85314 .85543 .85769 85993 .86214
.86433 .86650 86864 .87076 .87286 .87493 .87698 .87900 .88100 88298
1.2 .88493 88686 88877 .89065 .89251 .89435 .89617 .89796 89973 .90147
1.3
90320 90490 90658 .90824 .90988 91149 .91309 91466 91621 91774
1.4 91924 92073 92220 92364 92507 92647 92785 92922 93056 93189
1.5 93319 93448 .93574 .93699 93822 .93943 94062 94179 94295 94408
1.6 94520 94630 94738 94845 94950 95053 95154 95254 95352
1.7 95543 95637 95728 95818 .95907 95994
.96246
1.8 96407 96485 96562 .96638
1.9 97128 97193 97257 97320
2.0 97725 97778 97831 97882
98257 98300 .98341
98382
98645 98679 .98713 .98745
98956 98983 .99010 .99036 .99061 .99086 99111 .99134
99202 99224 99245
.99266 99286 99305 99324 99343
99413 .99430
99446 99461 99477 99492
99560 99573 99585 .99598 99609 99621
99674 .99683 99693
99702 99711 99720
99760 99767 99774 99781 99788 99795
99819
99825 .99831 99836 99841 99846 99851 99856
3.0 .99865 99869 99874 .99878 99882 .99886 99889 99893
3.1 99903 .99906 99910 .99913 .99916 .99918 .99921 99924
3.2 99931
99934 99936 99938 99940
99942 .99944 99946
3.2 .99931 .99934 .99936 .99938 .99940 .99942 .99944
3.3 99952 99953 .99955 99957 99958 .99960 99961
3.4 .99966 99968 99969 .99970 .99971 .99972
99978 .99979 99980
.99985 .99986 .99986
.99990 .99990 99991
99993 .99994 .99994
99996 99996 99996
98574
2.1 98214
2.2 98610
98422 .98461 98500
.98537
98778 98809 98840 98870
98899
2.3 98928
99158
2.4 .99180
99361
2.5 99379
99506
.99520
2.6 .99534
99632
99643
.99396
.99547
99664
99752
2.7 99653
.99728
2.8 99744
99801
2.9 99813
99896
.99946
99962
99973 .99974
99981 .99981 .99982
.99937 .99988 .99988
.99987
.99991
99992 .99992 99992
.99994 99994 .99995 99995
.99996 99996 99996 99997
33
4925
3.5 .99977 .99978
.99985
.99990
3.6 .99984
3.7 .99989
3.8 99993
99993
3.9 .99995 99995
99926
99948
99736
99807
99861
.99900
99929
99950
.99948
.99950
.99964
99965
.99975
99976
99983 99983
99989
99992
99995
99997
Transcribed Image Text:STANDARD NORMAL DISTRIBUTION: Table Values Represent AREA to the LEFT of the Z score. Z .00 .01 .02 .09 0.0 50000 0.1 53983 0.2 57926 0.3 0.4 50399 50798 54380 54776 58317 58706 .61791 62172 65542 .65910 66276 0.5 .69146 .69497 69847 .73237 .76424 0.6 72575 75804 .72907 .76115 0.7 0.8 78814 .79103 79389 0.9 81594 .81859 83891 1.1 95449 96080 96164 96327 .96712 .96856 96926 .96995 97062 .96784 97441 97381 97500 97558 97615 97670 97932 97982 98030 98077 98124 98169 .03 .04 .05 .06 .07 .08 51197 51595 $1994 52392 52790 53188 53586 55172 55567 55962 56356 56749 57142 57535 59095 59483 59871 .60257 .60642 .61026 .61409 62552 .62930 .63307 .63683 .64058 .64431 .64803 .65173 .66640 .67003 .67364 .67724 68082 68439 .68793 .70194 .70540 .70884 .71226 .71566 .71904 .72240 .73565 .73891 74215 .74537 .74857 75175 .75490 .76730 .77035 77337 .77637 77935 .78230 .78524 .79673 .79955 80234 .80511 80785 81057 81327 .82121 .82381 .82639 .82894 .83147 .83398 .83646 1.0 84134 .84375 .84614 .84849 85083 .85314 .85543 .85769 85993 .86214 .86433 .86650 86864 .87076 .87286 .87493 .87698 .87900 .88100 88298 1.2 .88493 88686 88877 .89065 .89251 .89435 .89617 .89796 89973 .90147 1.3 90320 90490 90658 .90824 .90988 91149 .91309 91466 91621 91774 1.4 91924 92073 92220 92364 92507 92647 92785 92922 93056 93189 1.5 93319 93448 .93574 .93699 93822 .93943 94062 94179 94295 94408 1.6 94520 94630 94738 94845 94950 95053 95154 95254 95352 1.7 95543 95637 95728 95818 .95907 95994 .96246 1.8 96407 96485 96562 .96638 1.9 97128 97193 97257 97320 2.0 97725 97778 97831 97882 98257 98300 .98341 98382 98645 98679 .98713 .98745 98956 98983 .99010 .99036 .99061 .99086 99111 .99134 99202 99224 99245 .99266 99286 99305 99324 99343 99413 .99430 99446 99461 99477 99492 99560 99573 99585 .99598 99609 99621 99674 .99683 99693 99702 99711 99720 99760 99767 99774 99781 99788 99795 99819 99825 .99831 99836 99841 99846 99851 99856 3.0 .99865 99869 99874 .99878 99882 .99886 99889 99893 3.1 99903 .99906 99910 .99913 .99916 .99918 .99921 99924 3.2 99931 99934 99936 99938 99940 99942 .99944 99946 3.2 .99931 .99934 .99936 .99938 .99940 .99942 .99944 3.3 99952 99953 .99955 99957 99958 .99960 99961 3.4 .99966 99968 99969 .99970 .99971 .99972 99978 .99979 99980 .99985 .99986 .99986 .99990 .99990 99991 99993 .99994 .99994 99996 99996 99996 98574 2.1 98214 2.2 98610 98422 .98461 98500 .98537 98778 98809 98840 98870 98899 2.3 98928 99158 2.4 .99180 99361 2.5 99379 99506 .99520 2.6 .99534 99632 99643 .99396 .99547 99664 99752 2.7 99653 .99728 2.8 99744 99801 2.9 99813 99896 .99946 99962 99973 .99974 99981 .99981 .99982 .99937 .99988 .99988 .99987 .99991 99992 .99992 99992 .99994 99994 .99995 99995 .99996 99996 99996 99997 33 4925 3.5 .99977 .99978 .99985 .99990 3.6 .99984 3.7 .99989 3.8 99993 99993 3.9 .99995 99995 99926 99948 99736 99807 99861 .99900 99929 99950 .99948 .99950 .99964 99965 .99975 99976 99983 99983 99989 99992 99995 99997
Q5.
The thickness (in millimeters) of the coating applied to disk drives is one characteristic that
determines the usefulness of the product. When no unusual circumstances are present, the thickness (z) has
a normal distribution with a mean of 5mm and a standard deviation of 0.1mm. Suppose that the process
will be monitored by selecting a random sample of 30 drives from each shift's production and determining 7,
the mean coating thickness for the sample. (Round your answer to 4 decimal places if any.)
(a) Describe the sampling distribution of 2 for a random sample of size 30.
(b) When no unusual circumstances are present, we expect à to be within 30 of 5mm, the desired value.
An z value farther from 5 than 30, is interpreted as an indication of a problem that needs attention.
Compute 5 ±30,
Appendix
-0.2
-0.1
-0.0
STANDARD NORMAL DISTRIBUTION: Table Values Represent AREA to the LEFT of the Z score.
Z
.00
.01
02
.03
.06
.07
.08
.09
-3.9 .00005 .00005 00004 00004
.00003
.00005
-3.8 .00007 .00007 00007
-3.7 00011 .00010 00010
00006
00010
-3.6 .00016 .00015 .00015 .00014
-3.5 00023 .00022 00022
.00008
.00011
.00017
00031
00045
.00064
.00024
.00035
.00050
.00071
.04
.05
00004 .00004 00004 00004 .00003
00006 .00006 00006 .00005 00005
.00009 .00009 .00008 00008 00008
00014 00013 .00013 00012 00012
00021 00020 00019 00019 00018 00017
.00034 .00032
.00030 .00029 .00028 .00027 00026 .00025
-3.3 .00048 00047
.00043 00042 00040 .00039
.00038 .00036
-3.2 .00069 .00066
.00062 .00060 .00058 .00056 .00054 00052
3.1
.00097 .00094 .00090 .00087 .00084 .00082 .00079 .00076 .00074
-3.0 .00135 .00131 00126
00122 00118 00114 00111 00107 00104 00100
-2.9 .00187 .00181 00175 .00169 00164 00159 .00154 00149 00144 .00139
-2.8 .00256 .00248 00240 .00233 00226 .00219 .00212 00205 .00199 .00193
-2.7 00347 00336 00326 00317 00307 .00298 00289 00280 00272 .00264
-2.6 00466 .00453 00440 00427 00415 .00402
00391 00379 00368 00357
-2.5 00621 00604 00587 00570 00554 .00539 00423 00508 00494 00480
00820 .00798 00776 .00755 .00734 .00714 .00695 00676 00657
.00639
01072 01044 01017
.00990 00964 .00939 00914 00889 00866 00842
-2.2 01390 01355 01321 01287 01255 01222 01191 .01160 01130 01101
-2.1 01786 01743 01700 01659
01618 01578 01539 01500 01463 .01426
-2.0 02275 02222 02169
02118 02068 02018 01970 01923 01876 .01831
-1.9 02872 .02807 02743 02680 02619 02559 .02500 02442 02385 02330
-1.8 03593 03515 03438 03362 03288 .03216 03144 03074 03005 .02938
-1.7 04457 04363 04272 04182 04093
04006 03920
03836 03754 .03673
-1.6 05480 05370 05262 05155 05050 04947 04846
04746 04648
-1.5 06681 06552 06426 06301 06178 06057 05938 05821 05705
-1.4 08076 07927 07780 07636 .07493 07353 07215 07078 06944
09680 .09510 09342 09176 09012 08851 08691 08534 08379
-1.2 11507 .11314 11123 .10935 .10749 .10565 .10383 .10204 .10027
-1.1 .13567 13350 .13136 12924 .12714 .12507 12302 .12100 11900
-1.0 15866 .15625 15386 15151 14917 .14686 .14457 .14231 14007
04551
05592
.06811
08226
09853
11702
13786
.17106 .16853
.19766 .19489
.22663 22363
26109
25785
-0.9 .18406 .18141 .17879 .17619 .17361
-0.8 21186 20897 20611 20327 20045
-0.7 24196 23885 23576 23270 22965
-0.6 27425 27093 26763 26435
-0.5 30854 .30503 .30153 29806
-0.4 34458
.33360
-0.3 38209 37828 37448 .37070 .36693
42074 41683 41294 .40905 40517
.29116
34090 .33724
29460
.32997 .32636
.36317
40129 39743
35942
46017 45620 45224
50000 49601 49202
.44038 43644
44828 44433
48803 48405 48006
.16602 .16354
.19215 .18943
22065
21770
25463 25143
24825
28434 28096
31918 31561
28774
32276
.16109
.18673
21476
24510
27760
.31207
.34827
.38591
42465
46812 .46414
.35569 35197
39358 38974
43251 42858
47608 47210
Transcribed Image Text:Q5. The thickness (in millimeters) of the coating applied to disk drives is one characteristic that determines the usefulness of the product. When no unusual circumstances are present, the thickness (z) has a normal distribution with a mean of 5mm and a standard deviation of 0.1mm. Suppose that the process will be monitored by selecting a random sample of 30 drives from each shift's production and determining 7, the mean coating thickness for the sample. (Round your answer to 4 decimal places if any.) (a) Describe the sampling distribution of 2 for a random sample of size 30. (b) When no unusual circumstances are present, we expect à to be within 30 of 5mm, the desired value. An z value farther from 5 than 30, is interpreted as an indication of a problem that needs attention. Compute 5 ±30, Appendix -0.2 -0.1 -0.0 STANDARD NORMAL DISTRIBUTION: Table Values Represent AREA to the LEFT of the Z score. Z .00 .01 02 .03 .06 .07 .08 .09 -3.9 .00005 .00005 00004 00004 .00003 .00005 -3.8 .00007 .00007 00007 -3.7 00011 .00010 00010 00006 00010 -3.6 .00016 .00015 .00015 .00014 -3.5 00023 .00022 00022 .00008 .00011 .00017 00031 00045 .00064 .00024 .00035 .00050 .00071 .04 .05 00004 .00004 00004 00004 .00003 00006 .00006 00006 .00005 00005 .00009 .00009 .00008 00008 00008 00014 00013 .00013 00012 00012 00021 00020 00019 00019 00018 00017 .00034 .00032 .00030 .00029 .00028 .00027 00026 .00025 -3.3 .00048 00047 .00043 00042 00040 .00039 .00038 .00036 -3.2 .00069 .00066 .00062 .00060 .00058 .00056 .00054 00052 3.1 .00097 .00094 .00090 .00087 .00084 .00082 .00079 .00076 .00074 -3.0 .00135 .00131 00126 00122 00118 00114 00111 00107 00104 00100 -2.9 .00187 .00181 00175 .00169 00164 00159 .00154 00149 00144 .00139 -2.8 .00256 .00248 00240 .00233 00226 .00219 .00212 00205 .00199 .00193 -2.7 00347 00336 00326 00317 00307 .00298 00289 00280 00272 .00264 -2.6 00466 .00453 00440 00427 00415 .00402 00391 00379 00368 00357 -2.5 00621 00604 00587 00570 00554 .00539 00423 00508 00494 00480 00820 .00798 00776 .00755 .00734 .00714 .00695 00676 00657 .00639 01072 01044 01017 .00990 00964 .00939 00914 00889 00866 00842 -2.2 01390 01355 01321 01287 01255 01222 01191 .01160 01130 01101 -2.1 01786 01743 01700 01659 01618 01578 01539 01500 01463 .01426 -2.0 02275 02222 02169 02118 02068 02018 01970 01923 01876 .01831 -1.9 02872 .02807 02743 02680 02619 02559 .02500 02442 02385 02330 -1.8 03593 03515 03438 03362 03288 .03216 03144 03074 03005 .02938 -1.7 04457 04363 04272 04182 04093 04006 03920 03836 03754 .03673 -1.6 05480 05370 05262 05155 05050 04947 04846 04746 04648 -1.5 06681 06552 06426 06301 06178 06057 05938 05821 05705 -1.4 08076 07927 07780 07636 .07493 07353 07215 07078 06944 09680 .09510 09342 09176 09012 08851 08691 08534 08379 -1.2 11507 .11314 11123 .10935 .10749 .10565 .10383 .10204 .10027 -1.1 .13567 13350 .13136 12924 .12714 .12507 12302 .12100 11900 -1.0 15866 .15625 15386 15151 14917 .14686 .14457 .14231 14007 04551 05592 .06811 08226 09853 11702 13786 .17106 .16853 .19766 .19489 .22663 22363 26109 25785 -0.9 .18406 .18141 .17879 .17619 .17361 -0.8 21186 20897 20611 20327 20045 -0.7 24196 23885 23576 23270 22965 -0.6 27425 27093 26763 26435 -0.5 30854 .30503 .30153 29806 -0.4 34458 .33360 -0.3 38209 37828 37448 .37070 .36693 42074 41683 41294 .40905 40517 .29116 34090 .33724 29460 .32997 .32636 .36317 40129 39743 35942 46017 45620 45224 50000 49601 49202 .44038 43644 44828 44433 48803 48405 48006 .16602 .16354 .19215 .18943 22065 21770 25463 25143 24825 28434 28096 31918 31561 28774 32276 .16109 .18673 21476 24510 27760 .31207 .34827 .38591 42465 46812 .46414 .35569 35197 39358 38974 43251 42858 47608 47210
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