Can you answer drop-down question on screenshot and questions G AND H A retailer wants to see if a red "Sale" sign brings in the same amount of revenue than the same "Sale" sign inblue. The data below shows the revenue in thousands of dollars that was achieved for various days whenthe retailer decided to put the red "Sale" sign up and days when the retailer decided to put the blue "Sale"sign up.Red: 3.3,1.9,3.1,2.3,2.4,1.7,3.3,2.6,2.1,2.1Blue: 3.7,5, 4.3,3.4,2.2,3.7, 3.4,2.4,3.7, 3.1Assume that both populations follow a normal distribution. What can be concluded at the a = 0.10 levelof significance level of significance?For this study, we should use Select an answera. The null and alternativ Select an answerz-test for a population proportionHo: Select an answer vH: Select an answer vt-test for the difference between two dependent population meansb. The test statistic t Vt-test for a population meanc. The p-value =0.0112d. The p-value is > vaz-test for the difference between two population proportionse. Based on this, we shoulf. Thus, the final conclusi test for the difference between two independent population meansO The results are sthat the population mean revenue on days with a red "Sale" sign is not the same as thepopulation mean revenue on days with a blue "Sale" sign.lo concludeO The results are statistically insignificant at a = 0.10, so there is statistically significantevidence to conclude that the population mean revenue on days with a red "Sale" sign is equalto the population mean revenue on days with a blue "Sale" sign.© The results are statistically significant at a = 0.10, so there is sufficient evidence to concludethat the mean revenue for the ten days with a red "Sale" sign is not the same as the meanrevenue for the ten days with a blue "Sale" sign.O The results are statistically insignificant at a = 0.10, so there is insufficient evidence toconclude that the population mean revenue on days with a red "Sale" sign is not the same asthe population mean revenue on days with a blue "Sale" sign.g. Interpret the p-value in the context of the study.Olf the sample mean revenue for the 10 days with a red "Sale" sign is the same as the samplemean revenue for the 10 days with a blue "Sale" sign and if another 10 days with a red "Sale"sign and 10 days with a blue "Sale" sign are observed then there would be a 0.58% chance ofconcluding that the mean revenue for the 10 days with a red "Sale" sign differs at least 1thousand dollars compared to the mean revenue for the 10 days with a blue "Sale" signO There is a 0.58% chance of a Type I error.searchG M) b. The test statistic t v = -3.174(please show your answer to 3 decimal places.)c. The p-value = 0.0112d. The p-value is >vae. Based on this, we should rejectf. Thus, the final conclusion is that ...(Please show your answer to 4 decimal places.)v the null hypothesis.O The results are statistically significant at a = 0.10, so there is sufficient evidence to concludethat the population mean revenue on days with a red "Sale" sign is not the same as thepopulation mean revenue on days with a blue "Sale" sign.O The results are statistically insignificant at a = 0.10, so there is statistically significantevidence to conclude that the population mean revenue on days with a red "Sale" sign is equalto the population mean revenue on days with a blue "Sale" sign.O The results are statistically significant at a = 0.10, so there is sufficient evidence to concludethat the mean revenue for the ten days with a red "Sale" sign is not the same as the meanrevenue for the ten days with a blue "Sale" sign.O The results are statistically insignificant at a = 0.10, so there is insufficient evidence toconclude that the population mean revenue on days with a red "Sale" sign is not the same asthe population mean revenue on days with a blue "Sale" sign.g. Interpret the p-value in the context of the study.O If the sample mean revenue for the 10 days with a red "Sale" sign is the same as the samplemean revenue for the 10 days with a blue "Sale" sign and if another 10 days with a red "Sale"sign and 10 days with a blue "Sale" sign are observed then there would be a 0.58% chance ofconcluding that the mean revenue for the 10 days with a red "Sale" sign differs at least 1thousand dollars compared to the mean revenue for the 10 days with a blue "Sale" signO There is a 0.58% chance of a Type I error.Olf the population mean revenue on days with a red "Sale" sign is the same as the populationmean revenue on days with a blue "Sale" sign and if another 10 days with a red "Sale" sign and10 days with a blue "Sale" sign are observed then there would be a 0.58% chance that the meanrevenue for the 10 days with a red "Sale" sign would differ by at least 1 thousand dollars fromthe mean revenue for the 10 days with a blue "Sale" signO There is a 0.58% chance that the mean revenue for the 10 days with a red "Sale" sign differs byleast 1 thousand dollars compared to the mean revenue for the 10 days with a blue "Sale" sign.h. Interpret the level of significance in the context of the study.O If the population mean revenue on days with a red "Sale" sign is the same as the populationmean revenue on days with a blue "Sale" sign and if another 10 days with a red "Sale" sign and10 days with a blue "Sale" sign are observed then there would be a 10% chance that we wouldend up falsely concluding that the population mean revenue for the days with a red "Sale" signis not the same as the population mean revenue on days with a blue "Sale" signO There is a 10% chance that there is a difference in the population mean revenue on days with ared "Sale" sign and on days with a blue "Sale" sign.O There is a 10% chance that green is your favorite color, so why woud you even consider red orblue?O f the population mean revenue on days with a red "Sale" sign is the same as the populationmean revenue on days with a blue "Sale" sign and if another 10 days with a red "Sale" sign and10 days with a blue "Sale" sign are observed, then there would be a 10% chance that we wouldend up falsely concluding that the sample mean revenue for these 10 days with a red "Sale"sign and 10 days with a blue "Sale" sign differ from each other.

Name: Can you answer drop-down question on screenshot and questions G AND H
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Description: Can you answer drop-down question on screenshot and questions G AND H A retailer wants to see if a red "Sale" sign brings in the same amount of revenue than the same "Sale" sign inblue. The data below shows the revenue in thousands of dollars that wa

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A retailer wants to see if a red "Sale" sign brings in the same amount of revenue than the same "Sale" sign in blue. The data below shows the revenue in thousands of dollars that was achieved for various days when the retailer decided to put the red "Sale" sign up and days when the retailer decided to put the blue "Sale" sign up. Red: 3.3, 1.9, 3.1, 2.3, 2.4, 1.7, 3.3, 2.6, 2.1, 2.1 Blue: 3.7, 5, 4.3, 3.4, 2.2, 3.7, 3.4, 2.4, 3.7, 3.1 Assume that both populations followa normal distribution. What can be concluded at the a = 0.10 level of significance level of significance? For this study, we should use Select an answer a. The null and alternativ Select an answer z-test for a population proportion Ho: Select an answer v H: Select an answer 1-test for the difference between two dependent population means b. The test statistic t vt-test for a population mean c. The p-value = 0.0112 d. The p-value is >va e. Based on this, we shoul f. Thus, the final conclusi test for the difference between two independent population means z-test for the difference between two population proportions O The results are s lo conclude