Question
The department chair has the candidate data set shown on the left hand side for the position advertised. a. Mandatory Pivot table, Probability table and
The department chair has the candidate data set shown on the left hand side for the position advertised.
a. Mandatory Pivot table, Probability table and Joint table showing the probabilities associated with a randomly selected applicant's sex and highest degree achieved.
b. Use a PivotTable in Excel to make a joint probability table showing the probabilities associated with a randomly selected applicant's sex and highest degree achieved. Use this joint probability table to answer the questions below.
c. What are the marginal probabilities? What do they tell you about the probabilities associated with the sex of applicants and highest degree completed by applicants?
d. If the highest degree completed by the applicant is a bachelor's degree, what is the probability that the applicant is male?
e. If the applicant is female, what is the probability that the highest degree completed by the applicant is a PhD?
f. What is the probability that a randomly selected applicant will be a male whose highest completed degree is a PhD?
| Applicant Number | Highest Degree Achieved | Gender | Work Experience (Years) |
| 1001 | Bachelor's | Male | 8 |
| 1002 | Bachelor's | Male | 1 |
| 1003 | Master's | Female | 3 |
| 1004 | Master's | Male | 6 |
| 1005 | Bachelor's | Male | 7 |
| 1006 | Master's | Male | 7 |
| 1007 | Master's | Male | 9 |
| 1008 | Master's | Male | 1 |
| 1009 | Bachelor's | Male | 8 |
| 1010 | Bachelor's | Female | 8 |
| 1011 | Bachelor's | Female | 9 |
| 1012 | Bachelor's | Male | 7 |
| 1013 | Master's | Male | 4 |
| 1014 | Bachelor's | Male | 6 |
| 1015 | Bachelor's | Male | 9 |
| 1016 | Master's | Male | 9 |
| 1017 | Master's | Male | 6 |
| 1018 | Master's | Female | 5 |
| 1019 | Bachelor's | Male | 7 |
| 1020 | Master's | Female | 0 |
| 1021 | Bachelor's | Male | 4 |
| 1022 | Master's | Male | 8 |
| 1023 | Bachelor's | Male | 4 |
| 1024 | Bachelor's | Male | 4 |
| 1025 | Master's | Female | 3 |
| 1026 | Master's | Male | 0 |
| 1027 | Bachelor's | Male | 8 |
| 1028 | Bachelor's | Female | 0 |
| 1029 | Bachelor's | Female | 4 |
| 1030 | Bachelor's | Male | 1 |
| 1031 | Bachelor's | Male | 5 |
| 1032 | Master's | Female | 3 |
| 1033 | Master's | Female | 0 |
| 1034 | Master's | Male | 8 |
| 1035 | Bachelor's | Female | 4 |
| 1036 | Bachelor's | Female | 6 |
| 1037 | Bachelor's | Male | 3 |
| 1038 | Bachelor's | Male | 4 |
| 1039 | Bachelor's | Female | 4 |
| 1040 | Bachelor's | Female | 0 |
| 1041 | Bachelor's | Female | 3 |
| 1042 | Master's | Male | 2 |
| 1043 | Bachelor's | Female | 8 |
| 1044 | Master's | Female | 5 |
| 1045 | Bachelor's | Female | 2 |
| 1046 | Master's | Female | 2 |
| 1047 | Bachelor's | Male | 5 |
| 1048 | Master's | Female | 1 |
| 1049 | Master's | Female | 5 |
| 1050 | Master's | Male | 7 |
| 1051 | Bachelor's | Male | 2 |
| 1052 | Bachelor's | Male | 5 |
| 1053 | Bachelor's | Male | 1 |
| 1054 | Bachelor's | Female | 5 |
| 1055 | Bachelor's | Female | 7 |
| 1056 | Master's | Male | 5 |
| 1057 | Bachelor's | Male | 5 |
| 1058 | Bachelor's | Female | 6 |
| 1059 | PhD | Male | 4 |
| 1060 | Master's | Female | 4 |
| 1061 | PhD | Male | 5 |
| 1062 | Bachelor's | Male | 5 |
| 1063 | Bachelor's | Male | 1 |
| 1064 | Master's | Female | 2 |
| 1065 | Bachelor's | Female | 6 |
| 1066 | Master's | Male | 9 |
| 1067 | Master's | Male | 7 |
| 1068 | Master's | Male | 6 |
| 1069 | Bachelor's | Male | 3 |
| 1070 | Bachelor's | Male | 9 |
| 1071 | Bachelor's | Female | 3 |
| 1072 | Master's | Male | 5 |
| 1073 | Bachelor's | Female | 5 |
| 1074 | Bachelor's | Male | 8 |
| 1075 | Bachelor's | Male | 6 |
| 1076 | Bachelor's | Male | 7 |
| 1077 | Master's | Male | 5 |
| 1078 | Master's | Female | 5 |
| 1079 | Master's | Female | 7 |
| 1080 | Bachelor's | Male | 2 |
| 1081 | Master's | Male | 0 |
| 1082 | Master's | Male | 6 |
| 1083 | PhD | Male | 5 |
| 1084 | PhD | Male | 6 |
| 1085 | Master's | Male | 9 |
| 1086 | Master's | Female | 2 |
| 1087 | PhD | Male | 8 |
| 1088 | Bachelor's | Male | 1 |
| 1089 | Bachelor's | Male | 2 |
| 1090 | Bachelor's | Female | 6 |
| 1091 | Bachelor's | Male | 0 |
| 1092 | Master's | Female | 6 |
| 1093 | Bachelor's | Female | 7 |
| 1094 | Bachelor's | Male | 7 |
| 1095 | Bachelor's | Female | 0 |
| 1096 | Bachelor's | Female | 8 |
| 1097 | Master's | Female | 6 |
| 1098 | Bachelor's | Male | 5 |
| 1099 | Master's | Male | 9 |
| 1100 | Master's | Male | 4 |
| 1101 | Master's | Male | 0 |
| 1102 | Bachelor's | Female | 2 |
| 1103 | Bachelor's | Female | 5 |
| 1104 | Master's | Female | 2 |
| 1105 | Bachelor's | Male | 6 |
| 1106 | Bachelor's | Female | 8 |
| 1107 | Bachelor's | Male | 8 |
| 1108 | Bachelor's | Male | 7 |
| 1109 | Master's | Male | 4 |
| 1110 | Master's | Male | 0 |
| 1111 | Master's | Male | 1 |
| 1112 | Master's | Male | 9 |
| 1113 | Master's | Male | 0 |
| 1114 | PhD | Female | 7 |
| 1115 | Bachelor's | Male | 4 |
| 1116 | PhD | Female | 6 |
| 1117 | Bachelor's | Female | 6 |
| 1118 | PhD | Male | 4 |
| 1119 | Bachelor's | Male | 0 |
| 1120 | Bachelor's | Female | 7 |
| 1121 | Master's | Female | 7 |
| 1122 | Master's | Male | 4 |
| 1123 | Bachelor's | Male | 6 |
| 1124 | Bachelor's | Male | 3 |
| 1125 | Bachelor's | Male | 7 |
| 1126 | Master's | Male | 8 |
| 1127 | Master's | Male | 5 |
| 1128 | Master's | Male | 6 |
| 1129 | Master's | Female | 6 |
| 1130 | Bachelor's | Male | 6 |
| 1131 | PhD | Female | 2 |
| 1132 | Master's | Male | 3 |
| 1133 | Master's | Female | 7 |
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College Algebra Graphs and Models
Authors: Marvin L. Bittinger, Judith A. Beecher, David J. Ellenbogen, Judith A. Penna
5th edition
321845404, 978-0321791009, 321791002, 978-0321783950, 321783956, 978-0321845405
