..000 Sprint-, 10% D + 9:07 PM bbhosted.cuny.edu e Explain why this problem need

Question

..000 Sprint-, 10% D + 9:07 PM bbhosted.cuny.edu e Explain why this problem needs F (ANOVA) - test for Independent Samples (For Question #34-40) Case Processing Summary ase Valid Missin otal Graduation N Percen N Percen N Percen Fall 89 258 100.000% 258 100.0 Spring 90 | 395 | 100.0 | 0 | .090 | 395 | 100.0 Date Starting Sala Descriptives Graduation Date Fall 89 Statistic Std. Error 25342.73 375.2 Starting Sala Mean 95% Confidence Interval | 24603.72 Lower Bound for Mcarn Upper 2608 1.75 Bound 5% Trimmed Mean Median Variance 25353.25 25162.50 36335231.5 12 6027.87 8500 44000 35500 8625.00 Std. Deviation Minimunm Maximum Ran Interquartile Range Skewness Kurtosis Mean 152 302 26015.95 357.76 085 90 95% Confidence Interval | 25312.60 Lower Bound for Mean Upper 26719.30 Bound 5% Trimmed Mean Median Variance Std. Deviation Minimum Maximum Rangc Interquartile Range Skewness Kurtosis 25941.91 26000.00 50555658.6 78 110.25 8000 65500 57500 9200,00 496 2.738 245

Explanation / Answer

38) between-group design as there are 2 different groups (fall 89 and spring 90) here

39) t test for independent samples with unequal variances

40) here I have 2 groups which are not dependent on each other, hence I use t test for independent samples. Considering the sample size which is different for both groups I use t test for unequal variances.

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