Question

In: Statistics and Probability

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


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