The questions in this section are about testing different kinds of hypotheses on your data set. Please make sure you have selected the correct data set. These questions are for DATA SET 2. From this point on you must use an alpha = 0.03. For the analysis of variance you must use the variable OWL. Use the variable "ranking" to create the groups. For the regression use FOX as the dependent variable and SEAL as the independent variable

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What is the p-value for the test of difference between the means of variable MAN in your data set? Op-value = 0.715 Op-value = 0.082 O Cannot be calculated Op-value = 0.195 Op-value = 0.429 Op-value = 0.757 Op-value = 0.394 Op-value = 0.149 Op-value = 0.085Question 11 (1 point) Do you reject the null hypothesis that the means for the variable MAN for the two groups created using the Gender variable come from the same population? 0 Yes O No 0 Not Applicable - Cannot be calculated. Please use the OWL variable for the remaining ANOVA analyses. What is the sum of squares due to treatment for the ANOVA of OWL grouped by ranking? SSTR =28.13 SSTR =19.52 SSTR =6.24 SSTR=28.26 OSSTR = 28.09 SSTR =6.52 Question 13 (1 point) In this ANOVA, what is the value of the parameter "k". O 1 O2 0 3 0 4 O 5 O6 O Cannot be calculated.Question 14 (1 point) What is the observed value of the test statistic? (OWL) Cannot be calculated. OF=5.52 OF=52.22 OF=5.39 Ot=12.32 OF=98.71 OF=16.37 OF=94.45 Question 15 (1 point) The p-value for the test statistic in this ANOVA is...? (OWL) Op-value= .002 Op-value 50.001 Op-value = 0.01 Op-value = 0.12 O Cannot be calculatedQuestion 16 {1 point) Based on the analysis you just completed, which of the following is true? 0 l reject the null hypothesis because each mean comes from a different population. 0 l reject the null hypothesis and accept the alternative hypothesis that at least one mean comes from a population different from the other means. 0 I accept the null hypothesis that all means come from the same population. 0 I cannot reject the null hypothesis that all means come from the same population 0 Cannot be calculated 0 I accept the alternative hypothesis that the two means come from the same population. Question 17 {1 point) This set of questions requires the caicuia tion of a Chi-Square. You can use the Crosstabs analysis in PSPP or you can do this by hand. What is the hypothesis being tested when we determine if two variables (Gender and Looking} are independent? 0 H0: The two variables Looking and Gender are NOT independent. H3: The two variables Looking and Gender are independent. 0 H0: The two variables Looking and Gender are independent. H3: The two variables Looking and Gender are NOT independent. 0 H0: The means of two variables Looking and Gender are equal. H3: The means of two variables Looking and Gender are NOT equal. 0 H0: The proportions of two variables Looking and Gender are equal. H3: The proportions of two variables Looking and Gender are NOT equal. Question 18 (1 point) This set of questions requires the calculation of a Chi-Square. You can use the Crosstabs analysis in PSPP or you can do this by hand. The observed value for the test statistic in this case (Gender and Looking) is ... O x2 = 0.051 O cannot be calculated O x2 = 0.835 O x2 = 0.0201 O x2 = 4.497 O x2 = 0.0209 O x2 = 1.83 Question 19 (1 point) This set of questions requires the calculation of a Chi-Square. You can use the Crosstabs analysis in PSPP or you can do this by hand. What conclusion do you draw based on this analysis? O We cannot reject the null hypothesis that these two variables are independent We can reject the null hypthesis. These two variables are not independent O Values for this variable cannot be calculated. Question 20 (1 point) When doing a linear regression, what is the hypothesis being tested? O Ho: epilson = 0 Ha: epilson not equal to 0 O Ho: beta1 = 0 Ha: beta, not = 0 O Ho: y = mx + b Hai y not equal to mx + b O Ho: y = y "hat" Hai y not equal to y "hat"Question 2 (1 point) All of the comparison of means basically use the same hypothesis. Which of the following is the correct hypothesis for these tests? OHo : X1 - X2 = u Ha : x1 - X2 7 u OHo : X1 - X2 = M Ho : x1 - X2 5 M OHo : M1 = M2 Ha : M1 # M2 OHo : M1 - M2 = Do Ha : M1 - M2 # DoQuestion 20 (1 point) When doing a linear regression. what is the hypothesis being tested? 0 H0: epilson = 0 Ha: epilson not equal to 0 O HO: betai = 0 Ha: beta1 not = 0 0H0: y=mx+b Ha:ynotequaltomx+b O HO: y = y "hat" Ha: y not equal to y "hat" Question 21 (1 point) For the remaining questions be sure to use that relationship where SEAL is the independent variable and FOX is the dependent variable. What is the Sum of Squares due to the regression for this analysis? 0 SSR = 914.33 0 SSR = 76.17 0 SSR = 10.34 0 SSR = 15.43 0 SSR = 4.19 O SSR = 8.55 Question 22 (1 point) What does the value of y"hat" measure 0 The mean of the y distribution. 0 The predicted value ofy based on x. O The error variance in the variable y O The predicted value of x based on y. Question 23 (1 point) What is the observed value of the test statistic in your analysis? [SEAL on FOX) 0 F = 10.03 0 x2 = 8.643 C)F=637 ()F=1476 C)F=1056 O F = 41.58 0 Cannot be calculated 0 F= 7.19 Question 24 (1 point) Given the regression model that you calculated. which of the following best reflects your results? {SEAL on FOX) 0 We cannot draw any conclusions about the alternative hypothesis. 0 We reject the null hypothesis and conclude that betai is not equal to O. This means that there is a significant relationship between the two varialbles 0 We reject the null hypothesis and conclude that betai is not equal to O. This means that the independent variable is clearly the cause of the dependent variable. 0 We DO NOT reject the null hypothesis and cannot conclude that betal is not equal to 0. This means that there is a no significant relationship between the two varialbles What are the means for the two gender groups on the OWL variable? O Gender 1 = 3.16 Gender 2 = 4.71 0 Gender 1 = 3.64 Gender 2 = 4.48 0 Gender 1 = 3.0 Gender 2 = 4.61 O Cannot be calculated 0 Gender 1 = 3.06 Gender 2 = 4.55 0 Gender 1 = 4.5 Gender 2 = 3.02 O Gender 1 = 4.82 Gender 2 = 3.43 What is the observed value of the test statistic for the variable OWL? C)t=616 C)t=-633 ()z=-221 ()t=-3os ()t=499 C)t=-769 C)t=-631 0 Cannot be calculated ()F=543 Question 5 (1 point) Do you reject the null hypothesis that the means for the variable OWL for the two groups created using the Gender variable come from the same population? 0 Yes O No Q Not Applicable - Cannot be calculated What are the means for the two gender groups on the SEAL variable? 0 Gender 1 = 3.90 Gender 2 =3.49 0 Gender 1 =3.47 Gender 2 =3.41 0 Gender 1 = 3.17 Gender 2 =3.34 O Cannot be calculated O Gender 1 = 3.24 Gender 2 = 3.63 0 Gender 1 = 3.13 Gender 2 = 2.80 0 Gender 1 = 2.96 Gender 2 = 3.19 Question 7 (1 point) What is the observed value of the test statistic for the variable SEAL? Do you reject the null hypothesis that the means for the variable SEAL for the two groups created using the Gender variable come from the same population? O Yes O No 0 Not Applicable - Cannot be calculated. What are the means for the two gender groups on the MAN variable? O Gender 1 = 3.07 Gender 2 =2.90 O Gender 1 = 3.21 Gender 2 = 3.71 0 Gender 1 = 3.66 Gender 2 = 3.57 0 Gender 1 = 3.20 Gender 2 =2.94 O Gender 1 = 2.41 Gender 2 = 1.97 0 Cannot be calculated 0 Gender 1 = 3.60 Gender 2 = 2.83