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All the information is in the images. look the image below in part 1 where I answered my work. After that you have to do

All the information is in the images. look the image below in part 1 where I answered my work. After that you have to do the result with this information that I provided in part 1. You can say that is missing reference since all that information is provided in part 1

Part 1-Read this images that I provided my answers. You will using this information that I answer below for you result in part 1.

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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 = 2.0112. 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, np = Partial Eta Squared Tests of Within-Subjects Effects Measure: MEASURE_1 Type II Sum of Partial Eta Source Squares de Mean Square F Sig Squared Words Sphencity Assumed 10.237 0.237 16.330 <.001 greenhouse-geisser huynh-feldt :.001 lower-bound words sphericity assumed .071 cellphonemanipulation .015 error is the main effect for websites significant interaction of website cell phone manipulation in following format f df f-ratio p="Sig," np="Partial" eta squared significant. test within-subjects effects tests between-subjects measure: measure_1 transformed variable: average type ii sum partial source squares mean square sig intercept .049 write .021 there a significance cellphone manipulation.estimated marginal means social estimated absence presence describe what going on above image.example: race recognition scores were analyzed spss two-way mixed factorial anova with participant asian manipulated and face as variable. results showed that was no .03 n .001 caucasian sd="2.30)" performing similarly overall. addition seen table also .01 participants showing similar faces. contrast between descriptive statistics while performed better facial stimuli compared to opposite pattern faces m="25.90," from looking at figure we can see both races sized advantage own-race these findings support notion an bias recognition.table std. deviation networking total non-social sig. .032 nonsocial>

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