Recently, a large academic medical center determined that 10 of 25 employees in a particular position were male, whereas 59% of the employees for this position in the general workforce were male. At...

Extracted text: Recently, a large academic medical center determined that 10 of 25 employees in a particular position were male, whereas 59% of the employees for this position in the general workforce were male. At the 0.05 level of significance, is there evidence that the proportion of males in this position at this medical center is different from what would be expected in the general workforce? What are the correct hypotheses to test to determine if the proportion is different? А. Но: п%3D0.59;B Hi: п#0.59 В. Но: п#0.59; Hi: л%3D0.59 ОС. Но: п$0.59; H,: п> 0.59 D. Ho: T20.59; H,: t < 0.59="" calculate="" the="" test="" statistic.="" zstat="" (type="" an="" integer="" or="" a="" decimal.="" round="" to="" two="" decimal="" places="" as="" needed.)="" %d="" what="" is="" the="" p-value?="" the="" p-value="" is:="" (type="" an="" integer="" or="" a="" decimal.="" round="" to="" three="" decimal="" places="" as="" needed.)="" state="" the="" conclusion="" of="" the="" test.="" the="" null="" hypothesis.="" there="" is="" evidence="" to="" conclude="" that="" the="" proportion="" of="" males="" in="" this="" position="" at="" this="" medical="" center="" is="" different="" from="" the="" proportion="" in="" the="" general="" workforce.="" o="" time="" remaining:="" 01:33:59="">