According to the Carnegie unit system, the recommended number of hours students should study per unit is 2.  Are statistics students' study hours different from the recommended number of hours per unit? The data show the results of a survey of 16 statistics students who were asked how many hours per unit they studied. Assume a normal distribution for the population. 1.5, 2, 2.9, 3.8, 4.6, 1.1, 1.8, 2.6, 1.4, 2.8, 4.5, 1.2, 1, 0.7, 3, 1.2 What can be concluded at the αα = 0.05 level of significance?  For this study, we should use Select an answer t-test for a population mean z-test for a population proportion  The null and alternative hypotheses would be:       H0:H0:  ? μ p  Select an answer < ≠ = >         H1:H1:  ? p μ  Select an answer < ≠ = >     The test statistic ? z t  =  (please show your answer to 3 decimal places.) The p-value =  (Please show your answer to 4 decimal places.) The p-value is ? > ≤  αα Based on this, we should Select an answer reject fail to reject accept  the null hypothesis. Thus, the final conclusion is that ... The data suggest that the population mean study time per unit for statistics students is not significantly different from 2 at αα = 0.05, so there is insufficient evidence to conclude that the population mean study time per unit for statistics students is different from 2. The data suggest the populaton mean is significantly different from 2 at αα = 0.05, so there is sufficient evidence to conclude that the population mean study time per unit for statistics students is different from 2. The data suggest the population mean is not significantly different from 2 at αα = 0.05, so there is sufficient evidence to conclude that the population mean study time per unit for statistics students is equal to 2.

According to the Carnegie unit system, the recommended number of hours students should study per unit is 2.  Are statistics students' study hours different from the recommended number of hours per unit? The data show the results of a survey of 16 statistics students who were asked how many hours per unit they studied. Assume a normal distribution for the population.

1.5, 2, 2.9, 3.8, 4.6, 1.1, 1.8, 2.6, 1.4, 2.8, 4.5, 1.2, 1, 0.7, 3, 1.2

What can be concluded at the αα = 0.05 level of significance? 

1. For this study, we should use Select an answer t-test for a population mean z-test for a population proportion 
2. The null and alternative hypotheses would be:     

 H0:H0:  ? μ p  Select an answer < ≠ = >       

 H1:H1:  ? p μ  Select an answer < ≠ = >    

1. The test statistic ? z t  =  (please show your answer to 3 decimal places.)
2. The p-value =  (Please show your answer to 4 decimal places.)
3. The p-value is ? > ≤  αα
4. Based on this, we should Select an answer reject fail to reject accept  the null hypothesis.
5. Thus, the final conclusion is that ...
   • The data suggest that the population mean study time per unit for statistics students is not significantly different from 2 at αα = 0.05, so there is insufficient evidence to conclude that the population mean study time per unit for statistics students is different from 2.
   • The data suggest the populaton mean is significantly different from 2 at αα = 0.05, so there is sufficient evidence to conclude that the population mean study time per unit for statistics students is different from 2.
   • The data suggest the population mean is not significantly different from 2 at αα = 0.05, so there is sufficient evidence to conclude that the population mean study time per unit for statistics students is equal to 2.
6. Interpret the p-value in the context of the study.
   • If the population mean study time per unit for statistics students is 2 and if you survey another 16 statistics students, then there would be a 42.50732002% chance that the sample mean for these 16 statistics students would either be less than 1.74 or greater than 2.
   • There is a 42.50732002% chance that the population mean study time per unit for statistics students is not equal to 2.
   • There is a 42.50732002% chance of a Type I error.
   • If the population mean study time per unit for statistics students is 2 and if you survey another 16 statistics students then there would be a 42.50732002% chance that the population mean would either be less than 1.74 or greater than 2.
7. Interpret the level of significance in the context of the study.
   • There is a 5% chance that the population mean study time per unit for statistics students is different from 2.
   • There is a 5% chance that students just don't study at all so there is no point to this survey.
   • If the population mean study time per unit for statistics students is 2 and if you survey another 16 statistics students, then there would be a 5% chance that we would end up falsely concuding that the population mean study time per unit for statistics students is different from 2.
   • If the population mean study time per unit for statistics students is different from 2 and if you survey another 16 statistics students, then there would be a 5% chance that we would end up falsely concuding that the population mean study time per unit for statistics students is equal to 2.