wt Group Statistics gender N wt M 5004 209.9919465 Mean Std. Deviation 10.00559438 Std. Error Mean .1414439065 F 4996 210.0274454 10.10095335 .1429062262 Figure 4 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 In F Sig. 1 df Sig. (2-tailed) 575 .448 -177 9998 860 Mean Difference -.0354989704 Std. Error Difference Lower .2010670400 -4296308410 Differen -.177 9996.772 860 -.0354989704 2010685658 -4296338379 Figure 5
wt Group Statistics gender N wt M 5004 209.9919465 Mean Std. Deviation 10.00559438 Std. Error Mean .1414439065 F 4996 210.0274454 10.10095335 .1429062262 Figure 4 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 In F Sig. 1 df Sig. (2-tailed) 575 .448 -177 9998 860 Mean Difference -.0354989704 Std. Error Difference Lower .2010670400 -4296308410 Differen -.177 9996.772 860 -.0354989704 2010685658 -4296338379 Figure 5
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7. The two-tailed p-value associated with this test is 0.860. Should the null hypothesis be rejected?
8. Is there sufficient evidence to suggest that there is a statistically significant difference between the two means in question?
9. If we now wanted to know whether there is a difference in weight between those with a low NYHA class (1 and 2) and those with a high NYHA class (3 and 4), what p-value would you report? Note that here, you'll need to combine categories 1 and 2 together, and categories 3 and 4 together. The creation of new variables was discussed in a previous lab. Please refer to it.
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