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Question: Would you use a one sided test or two sided test for this sample? I have heard to use one and hea…



Would you use a one sided test or two sided test for this
sample? I have heard to use one and heard to use two so not sure
which one it could be
Question: Would you use a one sided test or two sided test for thissample? I have heard to use one and hea...
Question: Would you use a one sided test or two sided test for thissample? I have heard to use one and hea...

Show transcribed image text Question #5 (use the following to solve a, b, and c that follow) The weekly sales (measured in cases, ie 24 packs) for a certain brand of soda is measured for two locations- end of aisle display and normal shelf location (in an aisle). Managers want to know if end of aisle display truly is advantageous in producing more sales. The data is shown below: Normal End of Aisle 72 3.966527 73.5 50.3 Mean Mean Standard Error Median Mode Standard Deviation 18.72639 Standard Deviation 12.54326 Sample Variance 350.6778 Sample Variance 157.3333 Kurtosis Skewness Range Minimum Maximum 5.921805 Standard Error 54 Median Mode End of Aisle 52 71 76 Normal #N/A #N/A 52 62 0.35731 Kurtosis 0.144669 Skewness 0.74079 67 83 2 62 Range 22 Minimum 84 Maximum -0.35851 38 52 40 56 59 720 10 503 Sum 6 Sum Count 10 Count

Question #5 (use the following to solve a, b, and c that follow) The weekly sales (measured in cases, ie 24 packs) for a certain brand of soda is measured for two locations- end of aisle display and normal shelf location (in an aisle). Managers want to know if end of aisle display truly is advantageous in producing more sales. The data is shown below: Normal End of Aisle 72 3.966527 73.5 50.3 Mean Mean Standard Error Median Mode Standard Deviation 18.72639 Standard Deviation 12.54326 Sample Variance 350.6778 Sample Variance 157.3333 Kurtosis Skewness Range Minimum Maximum 5.921805 Standard Error 54 Median Mode End of Aisle 52 71 76 Normal #N/A #N/A 52 62 0.35731 Kurtosis 0.144669 Skewness 0.74079 67 83 2 62 Range 22 Minimum 84 Maximum -0.35851 38 52 40 56 59 720 10 503 Sum 6 Sum Count 10 Count

  

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