Before the furniture store began its ad campaign, it averaged 145 customers per day. The manager is investigating if the average has changed since the ad came out. The data for the 12 randomly selected days since the ad campaign began is shown below:

170, 131, 132, 167, 130, 170, 161, 132, 172, 130, 149, 174

Assuming that the distribution is normal, what can be concluded at the = 0.01 level of significance?

For this study, we should use Select an answer The null and alternative hypotheses would be: H 0 : ? Select an answer

H 1 : ? Select an answer

The test statistic ? = (please show your answer to 3 decimal places.) The p-value = (Please show your answer to 4 decimal places.) The p-value is ? Based on this, we should Select an answer the null hypothesis. Thus, the final conclusion is that ... The data suggest the population mean is not significantly different from 145 at = 0.01, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is equal to 145. The data suggest the populaton mean is significantly different from 145 at = 0.01, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is different from 145. The data suggest that the population mean number of customers since the ad campaign began is not significantly different from 145 at = 0.01, so there is insufficient evidence to conclude that the population mean number of customers since the ad campaign began is different from 145. Interpret the p-value in the context of the study. There is a 26.55563152% chance that the population mean number of customers since the ad campaign began is not equal to 145. If the population mean number of customers since the ad campaign began is 145 and if you collect data for another 12 days since the ad campaign began, then there would be a 26.55563152% chance that the sample mean for these 12 days would either be less than 138.5 or greater than 151.5. There is a 26.55563152% chance of a Type I error. If the population mean number of customers since the ad campaign began is 145 and if you collect data for another 12 days since the ad campaign began, then there would be a 26.55563152% chance that the population mean would either be less than 138.5 or greater than 151.5. Interpret the level of significance in the context of the study. If the population mean number of customers since the ad campaign began is 145 and if you collect data for another 12 days since the ad campaign began, then there would be a 1% chance that we would end up falsely concuding that the population mean number of customers since the ad campaign began is different from 145. There is a 1% chance that the population mean number of customers since the ad campaign began is different from 145. If the population mean number of customers since the ad campaign began is different from 145 and if you collect data for another 12 days since the ad campaign began, then there would be a 1% chance that we would end up falsely concuding that the population mean number of customers since the ad campaign is equal to 145. There is a 1% chance that there will be no customers since everyone shops online nowadays.