Chemical_Engineering_Salaries Electrical_Engineering_Salaries

47386.3 55291

57723.61 42405.85

49203.23 51595.21

56216.43 53145.35

54713.59 55605.06

57963.54 53209.04

66358.26 57538.75

58860.11 53107.47

48019.09 49118.37

54231.32 48840.43

69716.59 52478.61

59087.54 49608.65

53919.01 51760.15

50734.74 52810.8

53897.36 60082.29

48281.94 56000.12

52936.65 52726.31

58001.07 55811.38

49430.86 48563.92

44912.13 48193.19

60875.01 56388.24

45642.91 50274.92

45466.2 46281.51

62112.49 58499.26

69707 55701.8

58211.48 55677.59

56617.89 55202.79

54131.87 50695.84

50761.81 49879.82

53341.45 50848.87

58717.41 44219.16

56923.08 60452.82

62041.7 49334.38

54199.36 55768.67

58543.7 56237.96

57661.62 47825.8

55622.58 52493.82

50053.98 58120.43

59004.27 58477.98

51464.74 49001.64

49295.39 52039.94

61599.63 53976.77

50842.41 51803.88

53614.93 49284.48

60655.04 55657.58

45310.4 54691.2

61749.84 51656.96

56227.66 54792.89

47549.18 51615.1

52663.06 47118.86

48741.8 49870.86

54202.4 45748.99

67137.18 42523.11

49024.75 46082.94

54662.39 56037.84

51495.27 63909.81

51456.48 51040.2

53731.98 52637.1

48413.93 50495.9

53057.73 51221.57

53911.9 44671.91

61600.58 55995

67523.71 45890.3

54779.12 46000.26

57958.93 55809.66

51215.13 49879.77

41431.51 41288.66

52875.8 50231.81

61071.61 44344.42

52644.43 46161.59

50078.75 53603.29

51059.91 53277.92

56198.49 53871.69

53201.54 54636.32

61301.8 58355.12

58991.81 47442.55

50072.24 45107.68

53949.43 50753.31

60553.69 54547.78

51139.83 54496.18

50017.88 52597.49

55182.4 50936.52

56619.95 47940.8

51224.48 55847.79

48243.37 49227.99

58323.83 56749.97

62694.14 44769.81

52822.16 61821.5

56576.58 44114.64

49674.76 50259.97

61215.38 51665.44

51236.85 52304.98

44671.65 49972.41

54058.59 49267.93

53928.54 46216.6

56180.56 51734.22

52119.78 55543.98

42646.44 51843.99

42285.48 58183.74

46906.5 51716.64

53697.53 46516.29

49032.64 50267.32

55534.54 43714.76

47158.56 42405.88

48378.26 38825.62

57900.76 46587.7

47802.22 47557.01

54218.78 45458.48

59542.02 45374.27

52598.55 49119.4

50695.42

57293.75

49745.65

47990.89

50594.05

56846.63

52475.25

59149.92

44752.4

52415.84

51386.9

49272.53

54790.98

56419.06

A job-placement firm would like to know if the average starting salary in a particular year for chemical engineering majors is different from the average starting salary in that same year for electrical engineering majors. To conduct its test, the job-placement firm has selected a random sample of 124 electrical engineering majors and 110 chemical engineering majors who graduated and received jobs in that year. Each graduate was asked to report his or her starting salary. The results of the survey are below. Complete parts a and b. Click the icon for the results of the survey. Conduct a hypothesis test at the 0.01 level of significance to determine whether a difference exists in the starting salaries for the two groups. Do not assume that the populations from which the samples were taken have equal variance. Let py be the population mean starting salary for chemical engineering graduates, and uz be the population mean starting salary for electrical engineering students. State the null and alternative hypotheses. O A. Ho: H1 - 12= 0 O B. Ho: H1 - 12= 0 HA: H1 - H2=0 HA: H1 - H2 * 0 O C. Ho: M1 - H250 OD. HO: H1 - 12# 0 HA : H1 - H2 > 0 HA: H1 - 12 = 0 Calculate the test statistic. The test statistic is (Round to two decimal places as needed.) Calculate the p-value. The p-value isState the conclusion for this hypothesis test. O A. Reject Ho. There is sufficient evidence at the a = 0.01 level of significance to conclude that the two groups of graduates were paid differently. O B. Do not reject Ho. There is sufficient evidence at the a = 0.01 level of significance to conclude that the two groups of graduates were paid differently. O C. Reject Ho. There is not sufficient evidence at the o = 0.01 level of significance to conclude that the two groups of graduates were paid differently. O D. Do not reject Ho. There is not sufficient evidence at the a = 0.01 level of significance to conclude that the two groups of graduates were paid differently