Question: you are asked to write a report based on data you received to test a hypotheses. You can find the Excel file Call Center in
you are asked to write a report based on data you received to test a hypotheses. You can find the Excel file Call Center in the corresponding week. You are to review and interpret the data and decide whether or not the null hypotheses should be rejected with 500 words only (minimum 500-max 550 without counting references). Two scholarly sources are required. (How effectively, not lengthy yet pointless, you are incorporating data and sources into your written part is the main focus of grading. Rationale should be solid, evidence proved, and smooth in transitioning.)
Task: Call centers typically have high turnover. The director of human resources for a large bank has compiled data on about 70 former employees at one of the banks call centers in the Excel file Call Center Data. In writing an article about call center working conditions, a reporter has claimed that the average tenure is no more than two years. Formulate and test a hypothesis using these data to determine if this claim can be disputed.0
Call Center Data Male = 1 Yes = 1 Yes = 1 Female = 0 No=0 No = 0 Gender arting Age or Call Center Experience ollege Degree th of Service (years) 0 18 0 0 7.02 1 18 1 0 3.47 0 19 0 0 2.07 0 19 0 0 1.78 0 19 0 0 4.42 0 19 0 0 3.29 0 19 1 0 3.05 1 19 1 0 0.49 1 19 1 0 0.61 1 19 0 0 3.12 0 20 0 0 2.95 0 20 1 1 0 2.15 0 20 0 0 4.03 1 20 0 0 3.53 1 20 0 0 2.47 0 21 0 0 2.15 1 21 0 0 3.27 1 21 0 0 1.10 1 21 0 0 1.78 0 22 0 0 1.94 0 22 1 0 2.91 0 23 1 0 3.02 0 23 1 0 2.53 0 23 0 1 1.84 1 23 1 0 2.88 1 23 0 0 2.20 1 23 0 1 1.44 1 24 0 0 2.53 1 24 0 1 1.41 1 24 0 1 1.08 0 25 1 1 0.98 1 25 1 0 0.63 1 25 0 1 1.30 1 25 1 1 2.13 0 26 1 0 2.30 0 26 1 1 2.05 0 26 1 1 2.13 1 26 1 1 2.12 1 26 0 1 2.16 1 27 0 0 2.04 0 28 0 0 1.70 0 28 0 1 2.11 1 29 0 1 1.75 0 30 0 1 2.15 1 30 1 0 2.12 1 30 0 1 0.37 0 31 0 0 1.95 0 31 0 0 1.02 0 31 0 1 1.26 1 31 0 0 1.04 0 32 0 1 1.64 1 32 1 0 1.75 1 32 1 1 1.71 1 33 0 0 1.29 0 34 1 0 1.48 0 34 0 1 1.31 1 34 0 0 0 1.46 1 34 1 0 1.88 1 36 0 0 1 1.16 0 39 0 0 1.16 0 39 0 1 1.05 1 39 0 0 0.96 0 40 1 0 1.24 0 40 0 0 0.81 1 41 1 0 0.87 0 43 1 0 0.99 0 43 1 0 0.76 0 45 0 0 0.32 0 47 1 1 0.35 0 50 1 0 0.57 Call Center Data Male = 1 Yes = 1 Yes = 1 Female = 0 No=0 No = 0 Gender arting Age or Call Center Experience ollege Degree th of Service (years) 0 18 0 0 7.02 1 18 1 0 3.47 0 19 0 0 2.07 0 19 0 0 1.78 0 19 0 0 4.42 0 19 0 0 3.29 0 19 1 0 3.05 1 19 1 0 0.49 1 19 1 0 0.61 1 19 0 0 3.12 0 20 0 0 2.95 0 20 1 1 0 2.15 0 20 0 0 4.03 1 20 0 0 3.53 1 20 0 0 2.47 0 21 0 0 2.15 1 21 0 0 3.27 1 21 0 0 1.10 1 21 0 0 1.78 0 22 0 0 1.94 0 22 1 0 2.91 0 23 1 0 3.02 0 23 1 0 2.53 0 23 0 1 1.84 1 23 1 0 2.88 1 23 0 0 2.20 1 23 0 1 1.44 1 24 0 0 2.53 1 24 0 1 1.41 1 24 0 1 1.08 0 25 1 1 0.98 1 25 1 0 0.63 1 25 0 1 1.30 1 25 1 1 2.13 0 26 1 0 2.30 0 26 1 1 2.05 0 26 1 1 2.13 1 26 1 1 2.12 1 26 0 1 2.16 1 27 0 0 2.04 0 28 0 0 1.70 0 28 0 1 2.11 1 29 0 1 1.75 0 30 0 1 2.15 1 30 1 0 2.12 1 30 0 1 0.37 0 31 0 0 1.95 0 31 0 0 1.02 0 31 0 1 1.26 1 31 0 0 1.04 0 32 0 1 1.64 1 32 1 0 1.75 1 32 1 1 1.71 1 33 0 0 1.29 0 34 1 0 1.48 0 34 0 1 1.31 1 34 0 0 0 1.46 1 34 1 0 1.88 1 36 0 0 1 1.16 0 39 0 0 1.16 0 39 0 1 1.05 1 39 0 0 0.96 0 40 1 0 1.24 0 40 0 0 0.81 1 41 1 0 0.87 0 43 1 0 0.99 0 43 1 0 0.76 0 45 0 0 0.32 0 47 1 1 0.35 0 50 1 0 0.57
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