Independent Samples and Paired Samples T-Test: The Paired Samples T-test, which is commonly known as the correlated-samples T-test or matched-samples T-Test has some similarities with the Independent Samples because they are both used to compare two samples of observations. These procedures are also used to determine whether the mean of one sample is significantly different from the mean of another sample. Notably, the Paired Samples T-test is also known as the dependent samples T-test since its used to identify important mean differences between two groups on a certain measure such as GPA, ACT scores, SAT scores, height, or weight. Through the use of this procedure, the specific groups of interest are seemingly related as siblings or pre-treatment environment or post-treatment setting....
Generally, the two groups being compared must be somehow related in order to be suitable for the procedures of Paired Samples T-test.
T-tests in Quantitative Doctoral Business Research Quantitative research is one of the methodologies that is commonly used in doctoral business research. The use of this approach is attributable to the availability of more data that requires analysis to help generate competitive advantage in the business field. The use of quantitative research entails conducting statistical analysis, which involves the use of different methods such as t-tests and ANOVA. T-test is used in
Independent T-Test for Lower Level of Depression T-Test [DataSet1] C:UsersucerDesktopPolit2SetC.sav Group Statistics Currently employed? Mean Deviation Error Mean CES-D Score Levene's Test for Equality of Variances t-test for Equality of Means F Sig. df Sig. (2-tailed) Mean Difference Error Difference 95% Confidence Interval of the Difference Lower Upper CES-D Score Equal variances assumed Equal variances not assumed The total sample size is 960. Out of the sample size, 524 women are unemployed versus 436 women are employed. The standard deviation of each group is 12.46 for unemployed women and 15.82 for employed women.
Data Set AnalysisHypothesesThere are two sets of hypotheses that could be tested using an independent means and dependent means t-test:Independent means t-test:� Null hypothesis (H0): There is no significant difference in mean scores between group A and group B on the IQ test.� Alternative hypothesis (H1): There is a significant difference in mean scores between group A and group B on the IQ test.Dependent means t-test:� Null hypothesis (H0): There
High School Longitudinal Study Dataset Using SPSS Software Scenarios 1. This section determines African citizen's perceptions about their current level of democracy. The study uses 2015 Afrobarometer data to determine whether the current level of African democracy is statistically different from the value of 6. Have series of reforms increased African views on the level of democracy? The study uses the following variables to answer the research question: Level of democracy: ten years ago
PART 11. a) What is the nonparametric alternative to a 1-sample t test for means?The non-parametric alternative to a 1-sample t test for means is the Wilcoxon signed-rank testb) What is the nonparametric alternative to a 2-sample t test for means?The non-parametric alternative to a 2-sample t test for means is the Wilcoxon 2-sample rank-sum testc) A test to see if three or more means are equal is called ANOVA
Data AnalysisTo analyze this data, one must identify the variables and their types. The variables in this dataset are:� Participant: Categorical (1 = yes, 0 = no)� Extra-Curricular Involvement: Categorical (1 = yes, 0 = no)� Residence: Categorical (On campus, Off campus, Parents)� Motivation: Numerical (1-10)� Life Satisfaction: Numerical (1-10)� Exam1: Numerical (0-100)� Exam2: Numerical (0-100)� Exam3: Numerical (0-100)One can analyze this data using descriptive statistics and data visualization techniques
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