DATA_ANALYSIS_PART_2

# DATA_ANALYSIS_PART_2 - I P^pf Observations 40 Hypothesized...

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P^pf '10 I Observations Hypothesized Difference z Stat P(Z<:z) one tail z Critical onetail P(Z<:z) twotail z Critical two.tail 40 0 1.7292 ,'-:>\- 1.6449 0.083 8 1.96 Variance Observations Pearson Conelation Hypothesized Mean Difference df t Star P(T<:t) one-tail t Critical onetail P(T<:t) twotail t Critical two{ail 0.2404 40 0.2582 0 39 2.0r43 0.0255 t.6849 0.0509 2.0227 0.1 64 1 ,10 25. Which a. b. would best describe this research design? non-experiment post-test only quasi-experiment pre-test post-test quasi-experiment true experiment Use the following scenario to answer 4 questions. The director of training for Snuggie, the manufacturer of the Snuggie sleeved blanket, is interested in determining whether different training methods affect the productivity of assembly line employees. She randomly assigns 30 recently hired employees into two groups of 15. The first group receives a computer-assisted, individual-based training program (COMP), and the other receives a team-based training program (TEAM). Upon completion of the training, the employees are evaluated on the time (in minutes) it takes to assemble a Snuggie. 26. whlch of the following is the proper set of hypotheses? lnt+rua ( otrtla @ no, Fcop1p - [rrEAM:0 H1: pcoup - irraevrl0 -V H0: psoN4r - prr,A.N,{: 0 Hl: pssrv{p - preev I 0 '€, Ho: ltconap - Preeivr < OHr: FcoHap - FrEeu > 0 d. H0: pocoN4p rEAM:0 H1: [ocoup rneHa l0 --q. H6: [rcoMp - prren,t:0 Hl: pcsNap - preen < 0 Consider the outputs presented below, none of which may be correct.

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Pngl :Vfu qutl + ur1o%uol r''aricn''^u"5 F-Test Two-Sample for Variances - t-Test: Paired Two Sample for Means COMP TEAM COIWP TEAM Mean Va ria nce Observations df F P(F<=f) one-tail F Critical one-tail 15.47 9"2 27.a4 18.89 1-5 1_5 1_4 L4 L.156 gJe-l*2. fi.lt 2.484 Mean Variance Observations Pearson Correlation Hypotheslzed Mea n Difference df t Stat 15.8667 9.2 21.83a1 18.886 15 .15 -o.1-L47 o 14 3.83281 o.ooo91 1,.761,3L o.oo183 2.L4479 Mean Va ria nce Observations Hypothesized Mean df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail Mean Variance Observations Pooled Variance Hypothesized Mean Difference df t Stat P(T<=t) one-tail t Critical one-tail P(T<=t) two-tail t Critical two-tail 15.8667 9.2 21.a381 18.886 15 15 20.3619 o 2a 4.04604 o.o4 r.70173 o.08 2.A4841 a. b. c. o e. What was a. b. /.1\ \J d. e. 29. The research design employed by the director of training can be described as a: 6 pre-tesi/post-tesi true experiment : b. pre-test/post-test quasi experiment c. post-test only quasi experiment d. post-test only true experiment e. none ofthe above Use the following information to answer the next 4 questions. Consultant Charles believes that the traditional workplace setting with minimal or no technology is more beneficial than the modern hi-tech setting to foster a high sense of employee bonding ani 27. Which of the statistical analyses would you use to make a co11ect research decision? F-Test Two Sample for Variances
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DATA_ANALYSIS_PART_2 - I P^pf Observations 40 Hypothesized...

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