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ID: 3312827 • Letter: N
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Final Exam-Fall 2017 Tests of Betweon-Subjocts Eftects dont Variable: An Type Ill Sum of Corrected Mode 873.435 0563.699 198.803 110,297 175.183 6706.328 19783.000 7578.783 62.388 6563899 | 3.042 320 … 3232 1,793 s.068 AAS1 96,268 AS1 MotherParenting Error Total Comected Total a. R Squared a .115 (Adjusted R Squared " .0770 21.898 327 20.508 342 You have been asked to assess if there is a relationship between 2 different Adult Attachment styles and Social Self-Efficacy (the higher the score the more confidence in one's social engagements and relationships. Use the tables below to answer all the questions 20-25 Group Statistics First Adut Alachment Style (a 1" is put next to the Mean Std. Deviation Std. Error Mean Social Sel-Efficacy Subscale Fearful Avoidant Total Score 19.02 4.716 Secure 100 22.20 3461 -test for Equality of Means 95% Confidence Interval of the Mean StdEor Diference dr Sig. (2-alifnere Lower Upper Equal variances assumed -5.364 191 4.3472.010 Equal variances not assumed305 168.071 599- 4.361 1.906 3.178 20. What are the assumptions for the independent samples t-siaustic 21, What is the EV? 22. What is the RV? 23. 24. Were any of the assumptions violated? ho State the null and alternative hypotheses for the AAS/Social Self Efficacy study 25. How would you write the results?Explanation / Answer
Answer:-
20:- Assumptions for the Independent Samples T Test:-
Q21):
Equal Variance:-
In simple terms, variance refers to the data spread or scatter. Statistical tests, such as analysis of variance (ANOVA), assume that although different samples can come from populations with different means, they have the same variance. Equal variances (homoscedasticity) is when the variances are approximately the same across the samples. Unequal variances (heteroscedasticity) can affect the Type I error rate and lead to false positives. If you are comparing two or more sample means, as in the 2-Sample t-test and ANOVA, a significantly different variance could overshadow the differences between means and lead to incorrect conclusions.
Q22.
Random Variable:-
A random variable is a variable whose value is unknown, or a function that assigns values to each of an experiment's outcomes.
Q24):-
The hypotheses are formally defined below:
H0: mu=mu0
vs
H1:mu!=mu0 (Two sample)
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