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Two different advertisements were released by a company. They are measuring the time people stay on the commercial before switching channels. They randomly selected half
Two different advertisements were released by a company. They are measuring the time people stay on the commercial before switching channels. They randomly selected half of their users to see one advertisement, and the other half the second advertisement. Use data file Advertisements.csv . Is there statistically significant evidence to show that advertisement 2 performs significantly better? Enter in the p-value from your analysis. HINT: The data file after imported may have a first row that we need to delete. Use the code below to delete the Adv1 and Adv2: Advertisements = Advertisements[-1, ] Note: you will also need to use the edit function to change the columns to be numeric. \begin{tabular}{|r|r|r|} \hline \multicolumn{1}{|c|}{ A } & \multicolumn{2}{c|}{ B } \\ \hline 1 & Adv1 & Adv2 \\ \hline 2 & 50 & 35 \\ \hline 3 & 45 & 23 \\ \hline 4 & 36 & 30 \\ \hline 5 & 60 & 19 \\ \hline 6 & 2 & 44 \\ \hline 7 & 15 & 26 \\ \hline 8 & 30 & 47 \\ \hline 9 & 2 & 27 \\ \hline 10 & 24 & 30 \\ \hline 11 & 16 & 11 \\ \hline 12 & 52 & 32 \\ \hline 13 & 15 & 51 \\ \hline 14 & 51 & 29 \\ \hline 15 & 41 & 52 \\ \hline 16 & 48 & 37 \\ \hline 17 & 8 & 22 \\ \hline 18 & 57 & 56 \\ \hline 19 & 4 & 40 \\ \hline 20 & 1 & 1 \\ \hline \end{tabular}
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