Suppose a job placement firm would like to know if the 2015 average starting salary for chemical engineer majors is higher than the 2015 average starting salary for electrical engineering majors. To conduct its test, the job placement has selected a random sample of 124 electrical engineering majors and 110 chemical engineering majorswhograduated and received jobs in 2015. Each graduate was asked to report his or her starting salary. The results are the survey are contained in the data set.

A) Conduct a hypothesis test to determine whether the mean starting salary for 2015 graduates in chemical engineering is higher than the mean starting salary is for 2015 graduates in electrical engineering. Conduct a test at the 0.05 level of significance. Be sure to state a conclusion. (Assume that the firm believes the two populations from which the samples were taken are approximately normally distributed with equal variances.)

B) Suppose the job placement firm is unwilling to assume that the two populations are normally distributed with equal variances. Conduct the appropriate hypothesis test to determine whether a differences exists between the mean starting salaries for the two groups. Use the level of significance of 0.05. What conclusion should the job placement firm reach based on the hypothesis test?

Suppose a job placement firm would like to know if the 2015 average starting salary for chemical engineer majors is higher than the 2015 average starting salary for electrical engineering majors. To conduct its test, the job placement has slected a random sample of 124 electrical engineering majors and 110 chemical engineering majors who graduated and recievedjobs in 2015. Each graduate was asked to report his or her starting salary. The results are the survey are contained in the data set. A] Conduct a hypothesis test to determine whether the mean starting salary for 2015 graduates in chemical engineering is higher than the mean starting salary is for 2015 graduates in electrical engineering. Conduct a test at the 0.05 level of signicance. Be sure to state a conclusion. [Assume that the firm believes the two populations from which the samples were taken are approximately normally distributed with equal variances} B} Suppose the job placment firm is unwilling to assume that the two populations are normally distributed with equal variances. lConduct the appropriate hypothesis test to determine whether a differences exists between the mean starting salaries for the two groups. Use the level of significance of 0.05. what conclusion should the job placement firm reach based on the hypothesis test? \fA B C 30 29 50990.39 50092.81 31 30 53482.8 50895.67 32 31 58482.63 44106.59 33 32 56887.9 60528.27 34 33 62153.8 49448.64 35 34 53935.68 55886.09 36 35 58338.52 56215.4 37 36 57716.31 47615.27 38 37 55533.19 52310.27 39 38 50058.97 57904.97 40 39 58917.53 58725.36 41 40 51210.72 49031.97 42 41 49356.75 51822.53 43 42 61657.21 53800.53 44 43 50755.85 51816.27 45 44 53581.8 49261.73 46 45 60567.9 55797.95 47 46 45446.94 54640.06 48 47 61813.02 51774.23 49 48 56333.51 54849.36 50 49 47413.09 51851.37 51 50 52870.15 47215.71 52 51 48581.19 49913.55 53 52 54355.49 45889.39 54 53 67223.18 42635.6 55 54 48895.05 45991.87 56 55 54562.68 56188.13 57 56 51720.07 63811.31 58 57 51271.32 51039.29A B C 59 58 53526.29 52449.52 60 59 48293.49 50402.46 61 60 53068.36 51264.28 62 61 53876.91 44572.82 63 62 61856.26 55785.2 64 63 67519.43 45712.71 65 64 54591.42 46040.61 66 65 57915.77 56061.46 67 66 51240.18 50043.2 68 67 41441.13 41292.27 69 68 52930.48 50466.45 70 69 60967.3 44335.92 71 70 52780.25 46260.2 72 71 50130.16 53697.78 73 72 51245.54 53479.52 74 73 56172.15 53786.82 75 74 53178.68 54436.25 76 75 61562.19 58353.91 77 76 58955.89 47412.39 78 77 50227.9 45282.11 79 78 53996.88 50752.06 80 79 60367.8 54441.67 81 80 51147.74 54482.53 82 81 50251.95 52557.62 83 82 55144.08 50698.88 84 83 56668.91 48061.83 85 84 51367.73 55758.39 86 85 48477.35 49369.19 87 86 58306.7 56739.15A B C 88 87 62508.75 44690.56 89 88 52749.95 62109.44 90 89 56337.98 44054.93 91 90 49432.26 50493.08 92 91 61202.55 51881.01 93 92 51026.84 52480.52 94 93 44891.6 49994.7 95 94 54285.36 49338.76 96 95 53708.67 46187.93 97 96 55973.82 51977.98 98 97 52087.08 55591.12 99 98 42819.43 51882.78 100 99 42450.73 58257.88 101 100 47063.18 51583.98 102 101 53535.4 46489.07 103 102 48921.74 50139.81 104 103 55774.68 43885.82 105 104 47210.69 42312.66 106 105 48151.68 38953.45 107 106 58026.26 46468.42 108 107 47718.54 47639.65 109 108 54330.13 45352.32 110 109 59718.59 45540.76 111 110 52602.41 49307.89 112 111 50872.51 113 112 57118.46 114 113 49829.08 115 114 48179.02 116 115 50620.39117 116 56861.34 118 117 52624.83 119 118 59046.88 120 119 44577.08 121 120 52482.22 122 121 51574.1 123 122 49097.88 124 123 54520.17 125 124 56455.94