Before the furniture store began its ad campaign, it averaged 146 customers per day. The manager is investigating if the average is larger since the ad came out. The data for the 16 randomly selected...


Before the furniture store began its ad campaign, it averaged 146 customers per day. The manager is investigating if the average is larger since the ad came out. The data for the 16 randomly selected days since the ad campaign began is shown below:


172, 147, 168, 163, 166, 139, 158, 151, 137, 140, 138, 137, 158, 133, 144, 144


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



H0:  μ =146


 H1  μ > 146



  1. The test statistic t  = 1.158

  2. The p-value =  0.1325(Please show your answer to 4 decimal places.)

  3. The p-value is  > αα

  4. Based on this, we should  fail to reject accept reject  the null hypothesis.


(((((This is my question:)))) 3 questions sorry theres some reading





  • Thus, the final conclusion is that ...


    • The data suggest the populaton mean issignificantly more than 146 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 146.

    • or

    • The data suggest that the population mean number of customers since the ad campaign began is notsignificantly more than 146 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 146.

    • or

    • The data suggest the population mean is notsignificantly more than 146 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 146.




  • Interpret the p-value in the context of the study:




    • If the population mean number of customers since the ad campaign began is 146 and if you collect data for another 16 days since the ad campaign began then there would be a 13.24750974% chance that the population mean number of customers since the ad campaign began would be greater than 146.

    • or

    •  There is a 13.24750974% chance of a Type I error.

    • or

    • There is a 13.24750974% chance that the population mean number of customers since the ad campaign began is greater than 146.

    • or

    • If the population mean number of customers since the ad campaign began is 146 and if you collect data for another 16 days since the ad campaign began then there would be a 13.24750974% chance that the sample mean for these 16 days would be greater than 149.7.

    • or




  • Interpret the level of significance in the context of the study:




    • If the population mean number of customers since the ad campaign began is 146 and if you collect data for another 16 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 146.

    • or

    • There is a 10% chance that the population mean number of customers since the ad campaign began is more than 146.

    • There is a 10% chance that there will be no customers since everyone shops online nowadays.

    • or

    • If the population mean number of customers since the ad campaign began is more than 146 and if you collect data for another 16 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 146.






Jun 09, 2022
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