# Information Systems

**QUESTION 1**

- In an ANOVA, what are the degrees of freedom for the following output:
ANOVA Source of VariationSSdfMSFP-valueF critBetween Groups71.64921235.82462.5037160.1152793.68232Within Groups214.62861514.30857 Total286.277817

2, 152, 172.5017

**5 points **

**QUESTION 2**

- Males and females were compared for the mean number of smiles during a five-minute interview. The 30 males’ mean was 3.62 and the 24 females’ mean was 5.04. An α level of .05 was adopted and an
*F*= 4.02 was obtained. What conclusion is appropriate?males smile more than femalesfemales smile more than malesthe null hypothesis should be retainednone of the choices are correct

**5 points **

**QUESTION 3**

- The one way ANOVA is
*not*appropriate if the data come fromneither choice is correctboth choices are correctpopulations that do not have the same meanpaired-samples design;

**5 points **

**QUESTION 4**

- The null hypothesis in an ANOVA problem is thatone or more of the groups was drawn from a different population;none of the groups were drawn from the same population;any of the other alternatives, depending on how many levels of the independent variable there are.all the groups are drawn from the same population;

**5 points **

**QUESTION 5**

- When the
*F*value in the*F*table is smaller than the*F*value calculated from the datareject the null hypothesis;none of the choices are correctretain the null hypothesis;reject or retain the null hypothesis, depending on how far apart the group means are;

**5 points **

**QUESTION 6**

- A researcher conducted a paired sample t-test to determine if advertisements were viewed more in the morning (before noon) or in the evening (after 5pm) for eight different universities. The results were as follows:
MorningEvening MorningEveningMean3240.625Variance89.71428571504.5536Observations88Pearson Correlation0.343785438 Hypothesized Mean Difference0 df7 t Stat-1.152587077 P(T<=t) one-tail0.143458126 t Critical one-tail1.894578605 P(T<=t) two-tail0.286916252 t Critical two-tail2.364624252

Is there a significant difference between morning and evening access to the university advertisements? Yes, there was a significant difference between Morning (

*M*= 32), and Evening (*M*=40.625), (*t*[7] = 1.15*p*< .05).No, there was no difference between Morning (*M*= 32), and Evening (*M*=40.625), (*t*[7] = 1.15,*p*< .05).No, there was no difference between Morning (

*M*= 32), and Evening (*M*=40.625), (*t*[7] = 1.15,*p*> .05).Yes, there was a significant difference between Morning (

*M*= 32), and Evening (*M*=40.625), (*t*[7] = .28,*p*< .05).

**5 points **

**QUESTION 7**

*p*< .01 means that thethe results are significantneither choice is significant the null hypothesis should be rejectedboth choices are correct

**5 points **

**QUESTION 8**

- In an independent samples design, the Dog’s mean was 54.0 and the Cat’s mean was 53.9. Larger scores are better. A
*t*value of 2.50 was calculated and an α level of .05 adopted. Which conclusion is appropriate with a 2-tailed test?*If df*= 5, Dogs are significantly better than Cats*If df*= 9, Dogs are not significantly different from Cats*If df*= 10, Dogs are significantly better than Cats*If df*= 4, Cats are significantly better than Dogs

**5 points **

**QUESTION 9**

*p*< .05 means that the difference between sample meansnone of the choices are correctthe results should be declared “not significant”;both choices are correctshould be attributed to chance rather than to the independent variable

**5 points **

**QUESTION 10**

- With an acknowledgment to Sesame Street, “Which of these things is not like the others, which of these things doesn’t belong?”matched pairsnatural pairsrepeated measuresindependent samples