STATISTICS EXPERTS

The Spearman's coefficient is 0.84 for this data. In this case, maternal age is strongly correlated with parity, i.e. has a high positive correlation (Table 1). The Pearson's correlation coefficient for these variables is 0.80. In this case the two correlation coefficients are similar and lead to the same conclusion, however in some cases the two may be very different leading to different statistical conclusions. For example, in the same group of women the spearman's correlation between haemoglobin level and parity is 0.3 while the Pearson's correlation is 0.2. In this case the two coefficients may lead to different statistical inference. For example, a correlation coefficient of 0.2 is considered to be negligible correlation while a correlation coefficient of 0.3 is considered as low positive correlation (Table 1), so it would be important to use the most appropriate one. The most appropriate coefficient in this case is the Spearman's because parity is skewed.

1. Elaborate on the subjection to value 180 of the stress reversal occurrence for maximum effective slenderness

2.what is your view on the tension member ratio of slenderness?

3.The design tensile strength of tensile member is?

4.what is the connection of theblock shear strengthand the (shear yield, tension fracture

5.propose the formula for the net section ruptureas demonstrated by thedesign strength of tension correspondence member

6.show the equation that connects the holes from the gross area

7. True stress strain curve is also known as

8.elaborate on the offset load for theyield point for high strength steel

9.explain the statement; post ultimate strain softening in engineering stress strain curve is absent in true stress strain curve

10.how can engineering stress-strain curvelead todimensions change continuously as the load increases.