Since the independent-samples t-test assumes equality of variances, at 95% confidence level, the upper and lower confidence intervals are -53.68 and -165.12 accordingly.
#Independent t test in spss 16 mac#
Time spent eating Big Mac specials in seconds Data Analysisĩ5% Confidence Interval of the Difference H 1: The difference in the duration of eating Big Mac specials between overweight and normal weight individuals is statistically significant. H 0: The difference in the duration of eating Big Mac specials between overweight and normal weight individuals is not statistically significant. The independent variable is weight classification, overweight and normal weight individuals. The dependent variable is the duration of eating Big Mac specials in seconds. The dependent variable should exhibit homogeneity of variances.The dependent variable in each category must follow the normal distribution.The dependent variable must not have any significant outliers as they reduce the validity of results.Between the two categories, there must be an independence of observation.The independent variable must be in the form of categorical scale with only two categorical variables, which are independent (Jackson, 2011).The dependent variable must be in the form of a continuous scale, which is in a ratio or an interval scale.In the analysis of data using the independent-samples t-test, the data must meet the following six assumptions for the analysis using the SPSS to generate valid results.