T-test

EVALUATING SIGNIFICANCE OF FINDINGS: Statistical Significance and Sample T-test

An independent samples t test was conducted to determine whether differences exist between men and women on cultural competency scores. The samples consisted of 663 women and 650 men taken from a convenience sample of public, private, and non-profit organizations. Each participant was administered an instrument that measured his or her current levels of cultural competency. The cultural competency score ranges from 0 to 10, with higher scores indicating higher levels of cultural competency. The descriptive statistics indicate women have

T-Test

The hypothesis or alternate hypothesis is usually hidden in a word problem, and is sometimes a statement of what you expect to happen in the experiment or a claim of what will happen. Null hypothesis is statement of what will happen if the hypothesis or alternate doesn’t come true. Null hypothesis is the opposite statement of the actual hypothesis. When you accept the null hypothesis, you are essentially saying there is no different. For example, “I can live with a

T-test Highlight

T-test compares two means across an independent categorical variables. For example, my independent t-test is to test for any possible difference in comparison across student’s sex and their socio-economic status composite.