Monday, December 23, 2019

A Research Study On T Test - 1233 Words

Good Morning LV Team Members! We made it! This is our last session and as per your request we will go over the t-test for the last time. T-test can be used to analyze two data sets that are independent or dependent of each other. There are 3 types of t-test: - The t-test dependent, when the same group of subjects is tested at different time interval, different conditions or more than once. It is also known as the t-test for paired samples or t-test for correlated sample (Salkind, 2004, p.184). - The t-test independent: A two-sample equal variance test is performed - The t-test independent: A two- sample unequal variance test is performed I will be using the data from the UC Davis Olive Center reports of 2011 to compute the t-test value.†¦show more content†¦If one has more than two groups to compare then use the ANOVA. There are two way of doing it: the simple or one way analysis of variance due to the presence of one grouping dimension and the other one is called factorial design. The factorial design is complex, it is similar to the simple ANOVA with the addition of more level to the group. For example: number of girls in group1, group2, group 3 would be simple, now when we add to each group another level like number of boys that would make it to factorial because each group would have girls and boys. 4- Once you have selected the right statistical test, in our case the t-test then we will calculate the effect size to find out whether the result is meaningful or not. The t-test helps us to understand whether there is statistics significance difference or not. In our example, we want to find the t-test of independency mean. To calculate the t-test we need to calculate the mean, variance (used to calculate the effect size), SD of each lab results. The t-test could be easily calculated using the excel program using four ranges. The first and the second range would be each group data, then select the number of tail (one tail has a t-test of rejection on one side and two tail would have on each side bell curve) and finally select the type of t-test. One for paired, two for independent with equal variance and three forShow MoreRelatedStatistical Significance of a Study: Development of a Health Model for Older Adults1117 Words   |  4 PagesStatistical Significance of a Study: Development of the model of health for older adults What statistical procedures are mentioned in the study? The research focused on the integration of various phases with the aim of achieving the goals and objectives in relation to the research questions. In the first phase, the research study integrated Statistical Packages for the Social Sciences (SPSS) Version 17.0. 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