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  Fix the mistakes and report the findings correctly using the template from a prior question.  

  Construct a 95% CI estimating the size of the mean difference between the binge-watchers vs. daily-watchers.   95% CI [ [color1], [color2] ] (round up to two decimals).

Compute Cohen’s d to measure the size of the effect in the study in Q22. d = [color1] (round up to two decimals).

  Identify a critical t value for this study.   t =

Use a two-tailed test with α = .05 to examine the impact of binge-watching on the enjoyment of a show.    

  Please explain your choice in a prior question. Why is the test you selected most appropriate?  

  Compute the pooled variance, the estimated standard error of the mean difference, and the t statistic.   s2p = [color1] (round up to two decimals). s(M1 – M2) = [color2] (round up to two decimals). t = [color3] (round up to two decimals).

Explain your decision in the previous question. How did you determine whether the H0 can be rejected with different significance levels or not? Please make sure to include the value of a calculated t statistic and critical values for both tests. 

What is the sample variance and standard deviation for the sample in Q22? s2 = [color1] s = [color2] (round up to two decimals)

  Several mistakes were made when reporting the findings. What are they? Binge-watching appears to significantly diminish a TV show’s enjoyment, t(11) = – 2.93, p < .05, d = 1.86. On average, those who watched a show in a single binge session (M = 81.5, SD = 6.03) enjoyed it less than those who watched a show on a daily basis (M = 90, SD = 7.85).