Successful hotel managers must have personality characteristics often traditionally stereotyped as feminine (such as “compassionate”) as well as those traditionally stereotyped as masculine (such as “forceful”). The Bem Sex‑Role Inventory (BSRI) is a personality test that gives separate ratings for “female” and “male” stereotypes, both on a scale of 1 to 7 . Although the BSRI was developed at a time when these stereotypes were more pronounced, it is still widely used to assess personality types. Unfortunately, the ratings are often referred to as femininity and masculinity scores. A sample of 148 male general managers of three‑star and four‑star hotels had mean BSRI femininity score x¯=5.29 . The mean score for the general male population is μ=5.19 . Do hotel managers, on the average, differ significantly in femininity score from men in general? Assume that the standard deviation of scores in the population of all male hotel managers is the same as the σ=0.78 for the adult male population. You may find Table A helpful. (a) State the null and alternative hypotheses in terms of the mean femininity score ?μ for male hotel managers.   A) H0:x¯=5.29 versus Ha:μ≠5.19   B) H0:μ=5.19 versus Ha:x¯≠5.29   C) H0:x¯=5.29 versus Ha:x¯≠5.29   D) H0:μ=5.19 versus Ha:μ≠5.19     (b) Find the z test statistic. (Enter your answer rounded to two decimal places.)   z=     (c) What is the P ‑value for your z ? (Enter your answer rounded to four decimal places.)   P‑value=       What is the appropriate conclusion about male hotel managers?   A) There is weak evidence that hotel managers have the same mean femininity score than the general male population.   B) There is strong evidence that hotel managers have a different mean femininity score than the general male population.   C) There is strong evidence that hotel managers have the same mean femininity score than the general male population.   D) There is weak evidence that hotel managers have a different mean femininity score than the general male population.

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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Successful hotel managers must have personality characteristics often traditionally stereotyped as feminine (such as “compassionate”) as well as those traditionally stereotyped as masculine (such as “forceful”). The Bem Sex‑Role Inventory (BSRI) is a personality test that gives separate ratings for “female” and “male” stereotypes, both on a scale of 1 to 7 . Although the BSRI was developed at a time when these stereotypes were more pronounced, it is still widely used to assess personality types. Unfortunately, the ratings are often referred to as femininity and masculinity scores.

A sample of 148 male general managers of three‑star and four‑star hotels had mean BSRI femininity score x¯=5.29 . The mean score for the general male population is μ=5.19 . Do hotel managers, on the average, differ significantly in femininity score from men in general? Assume that the standard deviation of scores in the population of all male hotel managers is the same as the σ=0.78 for the adult male population.

You may find Table A helpful.

(a) State the null and alternative hypotheses in terms of the mean femininity score ?μ for male hotel managers.
 
A) H0:x¯=5.29 versus Ha:μ≠5.19
 
B) H0:μ=5.19 versus Ha:x¯≠5.29
 
C) H0:x¯=5.29 versus Ha:x¯≠5.29
 
D) H0:μ=5.19 versus Ha:μ≠5.19
 
 
(b) Find the z test statistic. (Enter your answer rounded to two decimal places.)
 
z=
 
 
(c) What is the P ‑value for your z ? (Enter your answer rounded to four decimal places.)
 
P‑value=
 
 
 
What is the appropriate conclusion about male hotel managers?
 
A) There is weak evidence that hotel managers have the same mean femininity score than the general male population.
 
B) There is strong evidence that hotel managers have a different mean femininity score than the general male population.
 
C) There is strong evidence that hotel managers have the same mean femininity score than the general male population.
 
D) There is weak evidence that hotel managers have a different mean femininity score than the general male population.
TABLES
697
Table entry
Table entry for z is the area under the
standard Normal curve to the left of z.
TABLE A Standard Normal cumulative proportions (continued)
.00
.01
.02
.03
.04
.05
.06
.07
.08
.09
0.0
.5000
.5040
.5080
.5120
.5160
.5199
.5239
.5279
.5319
.5359
.5557
.5948
.6331
.5636
.6026
0.1
.5398
.5438
.5478
.5517
.5596
.5675
.5714
.5753
0.2
.5793
.5832
.5871
.5910
.5987
.6064
.6103
.6141
0.3
0.4
.6406
.6772
.6480
.6844
.6179
.6217
.6255
.6293
.6368
.6443
.6517
.6554
.6591
.6628
.6664
.6700
.6736
.6808
.6879
.6950
.7054
.7389
.7088
.7422
.7123
.7454
.7764
0.5
.6915
.6985
.7019
.7157
.7190
.7224
0.6
.7257
.7580
.7517
.7823
.8106
.7291
.7324
.7357
.7486
.7794
.8078
.8340
.7549
0.7
.7611
.7642
.7673
.7704
.7734
.7852
.8023
.8289
0.8
.7881
.7910
.7939
.7967
.7995
.8051
.8133
0.9
.8159
.8186
.8212
.8238
.8264
.8315
.8365
.8389
.8485
.8708
.8907
.8508
.8577
.8790
1.0
.8413
.8438
.8461
.8531
.8554
.8599
.8621
.8643
.8849
.8749
.8944
1.1
.8665
.8686
.8729
.8770
.8810
.8830
1.2
.8869
.8888
.8925
.8962
.8980
.8997
.9015
1.3
.9032
.9049
.9066
.9082
.9099
.9115
.9131
.9147
.9162
.9177
1.4
.9192
.9207
.9222
.9236
.9251
.9265
.9279
.9292
.9306
.9319
1.5
.9332
.9345
.9357
.9370
.9382
.9394
.9406
.9418
.9429
.9441
.9463
.9564
1.6
.9452
.9474
.9484
.9495
.9505
.9515
.9525
.9535
.9545
1.7
.9554
.9573
.9582
.9591
.9599
.9608
.9616
.9625
.9633
.9678
.9744
1.8
.9641
.9649
.9656
.9664
.9671
.9686
.9693
.9699
.9706
1.9
.9713
.9719
.9726
.9732
.9738
.9750
.9756
.9761
.9767
2.0
.9772
.9778
.9783
.9788
.9793
.9798
.9803
.9808
.9812
.9817
2.1
.9821
.9826
.9830
.9834
.9838
.9842
.9846
.9850
.9854
.9887
.9913
.9857
2.2
.9861
.9864
.9868
.9871
.9875
.9878
.9881
.9884
.9890
2.3
.9893
.9896
.9898
.9901
.9904
.9906
.9909
.9911
.9916
2.4
.9918
.9920
.9922
.9925
.9927
.9929
.9931
.9932
.9934
.9936
2.5
.9938
.9940
.9941
.9943
.9945
.9946
.9948
.9949
.9951
.9952
2.6
.9953
.9955
.9956
.9957
.9959
.9960
.9961
.9962
.9963
.9964
2.7
.9965
.9966
.9967
.9968
.9969
.9970
.9971
.9972
.9973
.9974
.9977
.9983
2.8
.9974
.9975
.9976
.9977
.9978
.9979
.9979
.9980
.9981
2.9
.9981
.9982
.9982
.9984
.9984
.9985
.9985
9986
.9986
3.0
.9987
.9987
.9987
.9988
9988
.9989
.9989
.9989
.9990
.9990
3.1
.9990
.9991
.9991
.9991
.9992
.9992
.9992
.9992
.9993
.9993
3.2
.9993
.9993
.9994
.9994
.9994
.9994
.9994
.9996
.9995
.9995
.9995
3.3
.9995
.9995
.9995
.9996
.9996
.9996
.9996
.9996
.9997
3.4
.9997
.9997
.9997
.9997
.9997
.9997
.9997
.9997
.9997
.9998
Transcribed Image Text:TABLES 697 Table entry Table entry for z is the area under the standard Normal curve to the left of z. TABLE A Standard Normal cumulative proportions (continued) .00 .01 .02 .03 .04 .05 .06 .07 .08 .09 0.0 .5000 .5040 .5080 .5120 .5160 .5199 .5239 .5279 .5319 .5359 .5557 .5948 .6331 .5636 .6026 0.1 .5398 .5438 .5478 .5517 .5596 .5675 .5714 .5753 0.2 .5793 .5832 .5871 .5910 .5987 .6064 .6103 .6141 0.3 0.4 .6406 .6772 .6480 .6844 .6179 .6217 .6255 .6293 .6368 .6443 .6517 .6554 .6591 .6628 .6664 .6700 .6736 .6808 .6879 .6950 .7054 .7389 .7088 .7422 .7123 .7454 .7764 0.5 .6915 .6985 .7019 .7157 .7190 .7224 0.6 .7257 .7580 .7517 .7823 .8106 .7291 .7324 .7357 .7486 .7794 .8078 .8340 .7549 0.7 .7611 .7642 .7673 .7704 .7734 .7852 .8023 .8289 0.8 .7881 .7910 .7939 .7967 .7995 .8051 .8133 0.9 .8159 .8186 .8212 .8238 .8264 .8315 .8365 .8389 .8485 .8708 .8907 .8508 .8577 .8790 1.0 .8413 .8438 .8461 .8531 .8554 .8599 .8621 .8643 .8849 .8749 .8944 1.1 .8665 .8686 .8729 .8770 .8810 .8830 1.2 .8869 .8888 .8925 .8962 .8980 .8997 .9015 1.3 .9032 .9049 .9066 .9082 .9099 .9115 .9131 .9147 .9162 .9177 1.4 .9192 .9207 .9222 .9236 .9251 .9265 .9279 .9292 .9306 .9319 1.5 .9332 .9345 .9357 .9370 .9382 .9394 .9406 .9418 .9429 .9441 .9463 .9564 1.6 .9452 .9474 .9484 .9495 .9505 .9515 .9525 .9535 .9545 1.7 .9554 .9573 .9582 .9591 .9599 .9608 .9616 .9625 .9633 .9678 .9744 1.8 .9641 .9649 .9656 .9664 .9671 .9686 .9693 .9699 .9706 1.9 .9713 .9719 .9726 .9732 .9738 .9750 .9756 .9761 .9767 2.0 .9772 .9778 .9783 .9788 .9793 .9798 .9803 .9808 .9812 .9817 2.1 .9821 .9826 .9830 .9834 .9838 .9842 .9846 .9850 .9854 .9887 .9913 .9857 2.2 .9861 .9864 .9868 .9871 .9875 .9878 .9881 .9884 .9890 2.3 .9893 .9896 .9898 .9901 .9904 .9906 .9909 .9911 .9916 2.4 .9918 .9920 .9922 .9925 .9927 .9929 .9931 .9932 .9934 .9936 2.5 .9938 .9940 .9941 .9943 .9945 .9946 .9948 .9949 .9951 .9952 2.6 .9953 .9955 .9956 .9957 .9959 .9960 .9961 .9962 .9963 .9964 2.7 .9965 .9966 .9967 .9968 .9969 .9970 .9971 .9972 .9973 .9974 .9977 .9983 2.8 .9974 .9975 .9976 .9977 .9978 .9979 .9979 .9980 .9981 2.9 .9981 .9982 .9982 .9984 .9984 .9985 .9985 9986 .9986 3.0 .9987 .9987 .9987 .9988 9988 .9989 .9989 .9989 .9990 .9990 3.1 .9990 .9991 .9991 .9991 .9992 .9992 .9992 .9992 .9993 .9993 3.2 .9993 .9993 .9994 .9994 .9994 .9994 .9994 .9996 .9995 .9995 .9995 3.3 .9995 .9995 .9995 .9996 .9996 .9996 .9996 .9996 .9997 3.4 .9997 .9997 .9997 .9997 .9997 .9997 .9997 .9997 .9997 .9998
696
TABLES
Table entry for z is the area under the
Table entry
standard Normal curve to the left of z.
TABLE A Standard normal cumulative proportions
.00
.01
.02
.03
.04
.05
.06
.07
.08
.09
-3.4
.0003
.0003
.0003
.0003
.0003
.0003
.0003
.0003
.0003
.0002
.0003
.0005
.0007
.0005
.0004
.0006
-3.3
.0005
.0005
.0004
.0004
.0004
.0004
.0004
-3.2
.0007
.0007
.0006
.0006
.0006
.0006
.0005
.0005
-3.1
.0010
.0009
.0009
.0009
.0008
.0008
.0008
.0008
.0007
-3.0
.0013
.0013
.0013
.0012
.0012
.0011
.0011
.0011
.0010
.0010
-2.9
.0019
.0018
.0018
.0017
.0016
.0016
.0015
.0015
.0014
.0014
.0023
.0032
-2.8
.0026
.0025
.0024
.0023
.0022
.0021
.0021
.0020
.0019
-2.7
.0035
.0034
.0033
.0031
.0030
.0029
.0028
.0027
.0026
-2.6
.0047
.0045
.0044
.0043
.0041
.0040
.0054
.0039
.0038
.0037
.0036
-2.5
.0062
.0060
.0059
.0057
.0055
.0052
.0051
.0049
.0048
-2.4
.0064
.0084
.0082
.0080
.0078
.0075
.0073
.0071
.0069
.0068
.0066
-2.3
.0107
.0104
.0102
.0099
.0096
.0094
.0091
.0089
.0087
-2.2
.0139
.0136
.0132
.0129
.0125
.0122
.0119
.0116
.0113
.0110
.0174
.0222
.0170
.0217
-2.1
.0179
.0166
.0162
.0158
.0154
.0150
.0146
.0143
-2.0
.0228
.0212
.0207
.0202
.0197
.0192
.0188
.0183
.0274
.0287
.0359
.0281
.0268
.0262
.0256
.0250
.0233
.0244
.0307
.0384
-1.9
.0239
.0314
- 1.8
- 1.7
.0336
.0418
.0516
.0329
.0409
.0351
.0344
.0322
.0301
.0294
.0446
.0436
.0427
.0401
.0392
.0375
.0367
.0485
.0505
.0618
.0455
.0548
.0668
-1.6
.0537
.0526
.0495
.0475
.0465
-1.5
.0655
.0643
.0630
.0606
.0594
.0582
.0571
.0559
-1.4
-1.3
.0694
.0838
.0808
.0793
.0778
.0764
.0749
.0735
.0721
.0708
.0681
.0968
.0951
.0934
.0918
.0901
.0885
.0869
.0853
.0823
- 1.2
- 1.1
.1038
.1230
.1151
.1131
.1112
.1093
.1075
.1056
.1020
.1003
.0985
.1357
.1335
.1314
.1292
.1271
.1251
.1210
.1190
.1170
-1.0
.1587
.1562
.1539
.1515
.1492
.1469
.1446
.1423
.1401
.1379
.1814
.2090
-0.9
.1841
.1788
.1762
.1736
.1711
.1685
.1660
.1635
.1611
-0.8
.2119
.2061
.2033
.2005
.1977
.1949
.1922
.1894
.1867
-0.7
.2420
.2389
.2358
.2327
.2296
.2266
.2236
.2206
.2177
.2148
-0.6
.2743
.2709
.2676
.2643
.2611
.2578
.2546
.2514
.2483
.2451
-0.5
3085
3050
.3015
.2981
.2946
.2912
.2877
.2843
.2810
.2776
.3409
.3783
.4168
-0.4
.3446
.3372
.3336
3300
.3264
.3228
.3192
.3156
.3121
-0.3
.3821
.3745
3707
.3669
.3632
.3594
.3557
3520
.3483
.4090
.4483
.4880
-0.2
.4207
.4129
.4052
.4013
.3974
.3936
.3897
.3859
.4404
.4801
.4247
.4641
-0.1
.4602
.4562
.4522
.4443
.4364
.4325
.4286
-0.0
.5000
.4960
.4920
.4840
.4761
.4721
.4681
Transcribed Image Text:696 TABLES Table entry for z is the area under the Table entry standard Normal curve to the left of z. TABLE A Standard normal cumulative proportions .00 .01 .02 .03 .04 .05 .06 .07 .08 .09 -3.4 .0003 .0003 .0003 .0003 .0003 .0003 .0003 .0003 .0003 .0002 .0003 .0005 .0007 .0005 .0004 .0006 -3.3 .0005 .0005 .0004 .0004 .0004 .0004 .0004 -3.2 .0007 .0007 .0006 .0006 .0006 .0006 .0005 .0005 -3.1 .0010 .0009 .0009 .0009 .0008 .0008 .0008 .0008 .0007 -3.0 .0013 .0013 .0013 .0012 .0012 .0011 .0011 .0011 .0010 .0010 -2.9 .0019 .0018 .0018 .0017 .0016 .0016 .0015 .0015 .0014 .0014 .0023 .0032 -2.8 .0026 .0025 .0024 .0023 .0022 .0021 .0021 .0020 .0019 -2.7 .0035 .0034 .0033 .0031 .0030 .0029 .0028 .0027 .0026 -2.6 .0047 .0045 .0044 .0043 .0041 .0040 .0054 .0039 .0038 .0037 .0036 -2.5 .0062 .0060 .0059 .0057 .0055 .0052 .0051 .0049 .0048 -2.4 .0064 .0084 .0082 .0080 .0078 .0075 .0073 .0071 .0069 .0068 .0066 -2.3 .0107 .0104 .0102 .0099 .0096 .0094 .0091 .0089 .0087 -2.2 .0139 .0136 .0132 .0129 .0125 .0122 .0119 .0116 .0113 .0110 .0174 .0222 .0170 .0217 -2.1 .0179 .0166 .0162 .0158 .0154 .0150 .0146 .0143 -2.0 .0228 .0212 .0207 .0202 .0197 .0192 .0188 .0183 .0274 .0287 .0359 .0281 .0268 .0262 .0256 .0250 .0233 .0244 .0307 .0384 -1.9 .0239 .0314 - 1.8 - 1.7 .0336 .0418 .0516 .0329 .0409 .0351 .0344 .0322 .0301 .0294 .0446 .0436 .0427 .0401 .0392 .0375 .0367 .0485 .0505 .0618 .0455 .0548 .0668 -1.6 .0537 .0526 .0495 .0475 .0465 -1.5 .0655 .0643 .0630 .0606 .0594 .0582 .0571 .0559 -1.4 -1.3 .0694 .0838 .0808 .0793 .0778 .0764 .0749 .0735 .0721 .0708 .0681 .0968 .0951 .0934 .0918 .0901 .0885 .0869 .0853 .0823 - 1.2 - 1.1 .1038 .1230 .1151 .1131 .1112 .1093 .1075 .1056 .1020 .1003 .0985 .1357 .1335 .1314 .1292 .1271 .1251 .1210 .1190 .1170 -1.0 .1587 .1562 .1539 .1515 .1492 .1469 .1446 .1423 .1401 .1379 .1814 .2090 -0.9 .1841 .1788 .1762 .1736 .1711 .1685 .1660 .1635 .1611 -0.8 .2119 .2061 .2033 .2005 .1977 .1949 .1922 .1894 .1867 -0.7 .2420 .2389 .2358 .2327 .2296 .2266 .2236 .2206 .2177 .2148 -0.6 .2743 .2709 .2676 .2643 .2611 .2578 .2546 .2514 .2483 .2451 -0.5 3085 3050 .3015 .2981 .2946 .2912 .2877 .2843 .2810 .2776 .3409 .3783 .4168 -0.4 .3446 .3372 .3336 3300 .3264 .3228 .3192 .3156 .3121 -0.3 .3821 .3745 3707 .3669 .3632 .3594 .3557 3520 .3483 .4090 .4483 .4880 -0.2 .4207 .4129 .4052 .4013 .3974 .3936 .3897 .3859 .4404 .4801 .4247 .4641 -0.1 .4602 .4562 .4522 .4443 .4364 .4325 .4286 -0.0 .5000 .4960 .4920 .4840 .4761 .4721 .4681
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