1. Is there sufficient evidence to conclude that there is a
difference in the mean number...
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Statistics
1. Is there sufficient evidence to conclude that there is adifference in the mean number of hours of tv watched for those thatreported 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 thesituation
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