Assignment_312__4_Epi.docx HS312 Unit 4 Purdue Global University A research study was

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Assignment_312__4_Epi.docx HS312 Unit 4 Purdue Global University A research study was done in Turkey, involving 78 children ages 60 to 77 months old examining preschool childrens attachment statu... s. The Statistical analysis used in this case was t test and ANOVA. Dependent tests also are called paired t-test repaired sample t-test. With a dependent t-test, one groups subjects provide information about other groups; most of the tests are dependent samples because they contain the same topics. In statistical analysis, the t-test used for groups of two with a one-way variance, and a NOVA was used for groups of three or more(Ilhan&Ahmetoglu, 2016). Independent t-test, also commonly called to sample test, independent sample t-test, or students test, is an inferential statistical test that determines the difference between means in two unrelated groups. No hypothesis for an independent t-test means that both populations are equal; if both populations are equal, then we will find a different means in our data. When doing a T test, the assumptions include random sampling, normal distribution data scale measurement, size and quality of variance, and standard deviation. When youre conducting the t test, you need to see if theres any significance between the means and the two groups; you need to know if you have assumptions are interpreted and validated. With those assumptions, need to say that you had a random sample from the population. That sample follows a normal distribution. Correlation agrees that . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .. . .. .. . . . . . . . . . . . . . . . . . .. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . [Show More]

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