See the images below and the following the question below

1. Name one independent variable in our experiment: Presence of cell phones 2. List the 2 levels of that independent variable: With cell phone & without cellphone 3. Name the second independent variable: Types of anagrams 4. List the 2 levels of the second independent variable: Social networking terms & non-social networking terms 5. What is the dependent variable? Which anagrams they can decipher Descriptive Statistics 6. Give the means and standard deviation for the interaction between social networking words & cell phone presence: M = 3.51, SD = 2.29 7. Give the means and standard deviation for the interaction between social networking words & cell phone absence: M =3.62 , SD = 2.04 8. Give the means and standard deviation for the interaction between non-social networking words & cell phone presence: M =3.77 , SD = 1.81 9. Give the means and standard deviation for the interaction between non-social networking words & cell phone absence: M = 4.67 , SD =2.11 10. Give the means and standard deviation for the total of social networking words: M =3.56 , SD = 2.16 11 . Give the means and standard deviation for the total of non-social networking words M = 4.22 . SD = 2.01 12. Give the means and standard error for the total of no cell phone M = 4.14 , SD = .180 13. Give the means and standard error for the total of cell phone present M =3.638 , SD =.180 Test of Within-Subjects Effects 14. Write the main effect of Website type (words) in the following format - F(1, 186) = 16.33, p= .001, np^2= .081 F (IV df, error df) = F-Ratio, p = Sig, no = Partial Eta Squared Tests of Within-Subjects Effects Measure: MEASURE_1 Type II Sum of Partial Eta Source Squares df Mean Square F Sig. Squared Words Sphericity Assumed 40.237 40.237 16.330 <.001 greenhouse-geisser huynh-feldt lower-bound words sphericity assumed .015 .032 cellphonemanipulation error is the main effect for websites significant interaction of website cell phone manipulation in following format f df f-ratio p="Sig," no="Partial" eta squared np not significant.test within-subjects effects tests between-subjects measure: measure_1 transformed variable: average type ii sum partial source squares mean square sig intercept write .021 there significance manipulation.part discusses statistical test you ran with ivs levels and dv. dv scores were analysed on spss a two-way mixed factorial anova iv1 level manipulated iv2 as variable. part discuss one results showed that was np2="Partial" performing similarly overall. other iv addition seen table also signifcant participants showing similar recognition level1b sd=")" level2b faces.part contrast w between descriptive statistics interaction. should have comparisons. social network present nonsocial present. while performed worse or same choose than to zb opposite pattern m="," from looking at figure we can see>