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To motivate citizens to conserve gasoline, the government is considering mounting a nationwide conservation campaign. However, before doing so on a national level, it decides

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To motivate citizens to conserve gasoline, the government is considering mounting a nationwide conservation campaign. However, before doing so on a national level, it decides to conduct an experiment to evaluate the effectiveness of the campaign. For the experiment, the conservation is conducted in a small but representative geographical area. Twelve families are randomly selected from the area, and the amount of gasoline they use is monitored for 1 month before the advertising campaign and for 1 month after the campaign. the following IV' = conservation campaign DV= gasoline consumption Family fore the Campaign gallrer the Campaign gall Difference 55 48 Problem: Is there a significant decrease in the gasoline consumption of families after the nationwide conservation campaign? 43 38 51 53 H.: There is no significant decrease in the gasoline consumption of families after the nationwide conservation campaign. 62 58 H.: There is a significant decrease in the gasoline consumption of families after the nationwide conservation campaign. 35 36 48 42 rx -InmoOOD 58 55 Instructions: 45 40 1. Check for the Homogeneity of Variance using F-max test (use the variances of before and after campaign) 48 49 2. Check the skewness and kurtasis of difference scores? 54 50 3. Compute of t-statistics for dependent samples ( before and after campaign) 56 58 - alpha level at 0.05 25 4. Do hypothesis testing: Decide if reject or fail to reject null hypothesis 32 5. Calculate the effect size using eta squared (1") 6. In a separate text box, report the results of your dependent t-test (follow proper reporting) 7. In a separate text box, enumerate the statistics (use the "statistics" text box} Assumptions: 1. DV is continuous NOTE: Use descriptive statistics fexcel function) on the DIFFERENCE set of scores 2. Random sample 3. Normal Distribution of the difference of scores 4. No outliers Statistics: Example reporting: Condition to Reject Ho 1. If p-value is

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