1. Is there sufficient evidence to conclude that there is a difference in the mean number...

1. Is there sufficient evidence to conclude that there is a difference in the mean number of hours of tv watched for those that reported active lifestyle vs those that did not?

DATA:

Equal variances assumed

F=4.997

Sig.=.025

t= .420

df=4998

Sig. (2-tailed)= .675

Mean difference= .49823

Std. Error difference= .51551

Lower=-.51256

Upper= 1.50903

Equal Variances not assumed

t=-.421

df= 4966.401

Sig. (2-tailed)=.674

Mean difference= -.062

Std. Error difference= .146

Lower=-.348

Upper= .225

95% confidence interval

a. should they reject or retain?

b. calculate the effect size

c. interpret the effect size in the context of the situation

Solutions

Expert Solution

orchestra answered 10 months ago

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