Group Statistics Std. Error gender N Mean Std. Deviation wt M 5004 209.9919465 10.00559438 Mean .1414439065 F 4996 210.0274454 10.10095335 .1429062262 Figure 4 wt Equal variances assumed Equal variances not assumed Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference F Sig. 1 др Sig. (2-tailed) .575 .448 -.177 9998 .860 Mean Difference -.0354989704 Std. Error Difference Lower 2010670400 -.4296308410 Upper .3586329002 -177 9996.772 .860 -.0354989704 2010685658 -.4296338379 .3586358971 Figure 5
Group Statistics Std. Error gender N Mean Std. Deviation wt M 5004 209.9919465 10.00559438 Mean .1414439065 F 4996 210.0274454 10.10095335 .1429062262 Figure 4 wt Equal variances assumed Equal variances not assumed Independent Samples Test Levene's Test for Equality of Variances t-test for Equality of Means 95% Confidence Interval of the Difference F Sig. 1 др Sig. (2-tailed) .575 .448 -.177 9998 .860 Mean Difference -.0354989704 Std. Error Difference Lower 2010670400 -.4296308410 Upper .3586329002 -177 9996.772 .860 -.0354989704 2010685658 -.4296338379 .3586358971 Figure 5
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
1). The p-value for this test is . 072. Do we reject the null hypothesis?
2). Is there sufficient evidence to conclude that there is a statistically significant difference in mean weight between the different NYHA groups?
3). Pretend for a moment that the resulting p-value was 0.02. Do we reject the null hypothesis in this case? Why or why not? If we were to reject the null hypothesis, we would conclude that there is sufficient evidence to suggest a statistically significant difference in mean weight between the NYHA groups. The NYHA variable has four levels: would we know which of the four NYHA group means gave the statistically significant result?
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