Interpreting Power For the sample data in Example 1 “Adult Sleep” from this section, Minitab and StatCrunch show that the hypothesis test has power of XXXXXXXXXXof supporting the claim that μ

Interpreting Power  For the sample data in Example 1 “Adult Sleep” from this section, Minitab and StatCrunch show that the hypothesis test has power of 0.4943 of supporting the claim that μ< 7="" hours="" of="" sleep="" when="" the="" actual="" population="" mean="" is="" 6.0="" hours="" of="" sleep.="" interpret="" this="" value="" of="" the="" power,="" then="" identify="" the="" value="" of="" β ="" and="" interpret="" that="" value.="" (for="" the="" t="" test="" in="" this="" section,="" a="" “noncentrality="" parameter”="" makes="" calculations="" of="" power="" much="" more="" complicated="" than="" the="" process="" described="" in="" section="" 8-1,="" so="" software="" is="" recommended="" for="" power="">