Before the furniture store began its ad campaign, it averaged 163 customers per day. The manager is investigating if the average is larger since the ad came out. The data for the 12 randomly selected...

Before the furniture store began its ad campaign, it averaged 163 customers per day. The manager is investigating if the average is larger since the ad came out. The data for the 12 randomly selected days since the ad campaign began is shown below:

177, 150, 195, 151, 161, 194, 186, 185, 178, 169, 150, 184

Assuming that the distribution is normal, what can be concluded at the αα = 0.10 level of significance?

1. Thus, the final conclusion is that ...
   
   
   

   
   
   • The data suggest the populaton mean is
     significantly
     more than 163 at αα = 0.10, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is more than 163.
   
   
   • The data suggest the population mean is not
     significantly
     more than 163 at αα = 0.10, so there is sufficient evidence to conclude that the population mean number of customers since the ad campaign began is equal to 163.
   
   
   • The data suggest that the population mean number of customers since the ad campaign began is not
     significantly
     more than 163 at αα = 0.10, so there is insufficient evidence to conclude that the population mean number of customers since the ad campaign began is more than 163.
   
   

   
   
   
   


2. Interpret the p-value in the context of the study.
   
   
   

   
   
   • There is a 2.81886736% chance of a Type I error.
   
   
   • If the population mean number of customers since the ad campaign began is 163 and if you collect data for another 12 days since the ad campaign began then there would be a 2.81886736% chance that the sample mean for these 12 days would be greater than 173.3.
   
   
   • If the population mean number of customers since the ad campaign began is 163 and if you collect data for another 12 days since the ad campaign began then there would be a 2.81886736% chance that the population mean number of customers since the ad campaign began would be greater than 163.
   
   
   • There is a 2.81886736% chance that the population mean number of customers since the ad campaign began is greater than 163.
   
   

   
   
   
   


3. Interpret the level of significance in the context of the study.
   
   
   

   
   
   • There is a 10% 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 163 and if you collect data for another 12 days since the ad campaign began, then there would be a 10% chance that we would end up falsely concuding that the population mean number of customers since the ad campaign began is more than 163.
   
   
   • If the population mean number of customers since the ad campaign began is more than 163 and if you collect data for another 12 days since the ad campaign began, then there would be a 10% chance that we would end up falsely concuding that the population mean number of customers since the ad campaign is equal to 163.
   
   
   • There is a 10% chance that the population mean number of customers since the ad campaign began is more than 163.