PSY 7864-PSY7864 Unit 8 Assignment 1

PSY 7864-PSY7864 Unit 8 Assignment 1 INDEPENDENT T TEST 2 Independent t Test Within statistics there are multiple resources in which are used to better understand the data given. Some of these resources include, histograms, descriptive statistics, Shapiro-Wilk test, and the Levene test. Each different data collector is used in order to provide statistical data in different forms in order to see different aspects. Seeing each form in different aspects allows for more data to be recorded as well as a better outcome from the research. These four resources help better the statistical data field as they are used to see curves, difference in numbers per two variables, and much more. This data is useful knowledge as with all these combined it allows for difference of patterns to be noticed that could point to the research needing to be redone or better yet the research to be scientifically and mathematically proven. Some variables that are able to be looked at through these resources are the gpa of students as well as their gender. These two variables together can show correlations as well as differences when used with the resources above. Section 1: Data File Description The data set that will be looked at over the next few sections are the gpa and gender of a selected sample group. When it comes to these two variables they can be described as a predictor variable and an outcome variable. With using gpa and gender, the gpa will be used as the outcome variable. The gpa which is also known as grade point average will be used on a grading scale of 4.0. The 4.0 is the highest level of gpa a student can receive. This then leaves the predictor variable as the gender. According to Warner (2013) “ Predictor variables in regression may be either quantitative or categorical variables.” (p.615). Meaning because gender cannot be measured it then falls into the quantitative or categorical variable. This would then conclude that the data set for gender would be female and male. With both variables described the last description would be the sample size, which is 105. INDEPENDENT T TEST 3 Section 2: Testing Assumptions When it comes to the independent t test there are three assumptions that are typically taken. The first assumption per Warner (2013) being that the Y variable will end up being normally distributed. With that it will show a normal curve rather than a peaked curve. The second assumption from Warner (2013) would be that the Y scores will end up being homogenous throughout. This will produce an equal outcome of the variables. Lastly the assumption that will be made is by looking at the independence of the t test. Warner (2013) states that with the INDEPENDENT T TEST 4 independence of the observation the variable should only be appearing once