Question 9 (3 marks) Choose only those cases who Spend 15 hours or more on Emails and test the hypothesis that they represent a population where average daily resting energy expenditure is 1350 calories. Write null and alternative hypotheses. Choose a suitable test to answer this question and provide a short description of results from your data analysis. One-Sample Statistics N Mean Std. Deviation Std. Error Mean Resting Energy 6005 1392.47 302.964 3.910 Expenditure Calories/day One-Sample Test Test Value = 1350 95% Confidence Interval of the Significance Mean Difference df One-Sided p Two-Sided p Difference Lower Upper Email Time(Hours/week) -8615.209 7999 000 000 -1324.005 -1324.31 -1323.70 One-Sample Effect Sizes 95% Confidence Interval Standardizer Point Estimate Lower Upper Email Time(Hours/week) Cohen's d 13.746 -96.321 Hedges' correction 13.747 -96.312 a. The denominator used in estimating the effect sizes. Cohen's d uses the sample standard deviation. Hedges' correction uses the sample standard deviation, plus a correction factor