Note: Assume alpha=0.05 for all questions. P1. A twofactor analysis of variance (Twoway ANOVA) is an inferential statistical test that allows us to examine if each of two independent variables have an effect on the dependent variable (called the main effects). It also allows us to determine if the (two) main effects are independent of each other (i.e., it allows us to determine if two independent variables interact with each other). It assumes that the dependent variable has an interval or ratio scale. For HW3's P1, we will look at the data of a research study. Specifically, a total of 22 college students participated in the experiment and they were randomly assigned either to (1) come to class all the time, or (2) to never come to class and to get the lecture notes from the Learning Management System (e.g., Canvas). Those who came to class are in the Lecture condition, while those who did not come to class are in the Distance Learning condition. The students were also divided according to their GPA prior to the class. There were students with Higher GPAs and students with Lower GPAs. Thus, this is a "2 X 2" betweensubjects, factorial design. The dependent variable was the total number of points they received in the class (out of 400 possible points). Please enter the data onto a SPSS data file (.sav) and then solve (P1a), (P1b), (P1c), & (P1d)

P1. A two-factor analysis of variance (Two-way ANOVA) is an inferential statistical test that allows us to examine if each of two independent variables have an effect on the dependent variable (called the main effects). It also allows us to determine if the (two) main effects are independent of each other (i.e., it allows us to determine if two independent variables interact with each other). It assumes that the dependent variable has an interval or ratio scale. For HW3's P1, we will look at the data of a research study. Specifically, a total of 22 college students participated in the experiment and they were randomly assigned either to (1) come to class all the time, or (2) to never come to class and to get the lecture notes from the Learning Management System (e.g., Canvas). Those who came to class are in the Lecture condition, while those who did not come to class are in the Distance Learning condition. The students were also divided according to their GPA prior to the class. There were students with Higher GPAs and students with Lower GPAs. Thus, thisisa \"2 X 2\" between-subjects, factorial design. The dependent variable was the total number of points they received in the class (out of 400 possible points). Please enter the data onto a SPSS data file (.sav) and then solve (P1a), (P1b), (P1c), & (P1d). How to enter the data Crosstabs G = e onto a SPSS data file? You Class .. . Case Processing Summary 2 Distance | Lecture may mimic What you dld o 3 259.5 for the Independent- - 4 302.5 Valid Missing Tota 5| . samples t-test on HW2. N Percent N Percent N Percent - . . . Class * GPA 22 100.0% 0 0.0% 22 100.0% g Lox j;g - The flrSt Varlable IS the 5 numerical points. The 2 Class * GPA Crosstabulation g | CPA variable corresponds to Count . b o the GPA variable while the - High Low Tota 12 High 371 3 variable corresponds Class Distance 5 5 10 13 366 5 to the Class Variable Lecture 5 7 12 14 354 : Total 10 12 2 _ Whether to create an ID variable is up to you