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Question 4 5 pts 1 99 0 Details Before the furniture store began its ad campaign, it averaged 209 customers per day. The manager is

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Question 4 5 pts 1 99 0 Details Before the furniture store began its ad campaign, it averaged 209 customers per day. The manager is investigating if the average has changed since the ad came out. The data for the 16 randomly selected days since the ad campaign began is shown below: 222, 219, 189, 209, 211, 223, 225, 175, 225, 203, 215, 197, 210, 198, 177, 201 Assuming that the distribution is normal, what can be concluded at the a = 0.05 level of significance? a. For this study, we should use | Select an answer b. The null and alternative hypotheses would be: Ho: 7 Select an answer H1 : 7 Select an answer c. The test statistic ? = (please show your answer to 3 decimal places.) d. The p-value = (Please show your answer to 4 decimal places.) e. The p-value is ? v a f. Based on this, we should ( Select an answer | | the null hypothesis. g. Thus, the final conclusion is that ... The data suggest the populaton mean is significantly different from 209 at a = 0.05, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is different from 209. The data suggest that the population mean number of customers since the ad campaign began is not significantly different from 209 at a = 0.05, so there is insufficient evidence to conclude that the population mean number of customers since the ad campaign began is different from 209. The data suggest the population mean is not significantly different from 209 at a = 0.05, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is equal to 209. h. Interpret the p-value in the context of the study. If the population mean number of customers since the ad campaign began is 209 and if you collect data for another 16 days since the ad campaign began, then there would be a 49.25499928% chance that the population mean would either be less than 206.2 or greater than 211.8 There is a 49.25499928% chance of a Type | error. There is a 49.25499928% chance that the population mean number of customers since the ad campaign began is not equal to 209. If the population mean number of customers since the ad campaign began is 209 and if you collect data for another 16 days since the ad campaign began, then there would be a 49.25499928% chance that the sample mean for these 16 days would either be less than 206.2 or greater than 211.8. i. Interpret the level of significance in the context of the study. If the population mean number of customers since the ad campaign began is different from 209 and if you collect data for another 16 days since the ad campaign began, then there would be a 5% chance that we would end up falsely concuding that the population mean number of customers since the ad campaign is equal to 209. There is a 5% chance that there will be no customers since everyone shops online nowadays. If the population mean number of customers since the ad campaign began is 209 and if you collect data for another 16 days since the ad campaign began, then there would be a 5% chance that we would end up falsely concuding that the population mean number of customers since the ad campaign began is different from 209. There is a 5% chance that the population mean number of customers since the ad campaign began is different from 209

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