Question
STATISTICS EXPERTS This program takes two numbers as input, and prints their quotient. a = float(input(Enter a number: )) b = float(input(Enter a number: ))
STATISTICS EXPERTS
This program takes two numbers as input, and prints their quotient.
a = float(input("Enter a number: "))
b = float(input("Enter a number: "))
print ("Quotient: " + str(a/b))
What is output when when you enter 0 for the second number?
Simple application of the correlation coefficient can be exemplified using data from a sample of 780 women attending their first antenatal clinic (ANC) visits. We can expect a positive linear relationship between maternal age in years and parity because parity cannot decrease with age, but we cannot predict the strength of this relationship. The task is one of quantifying the strength of the association. That is, we are interested in the strength of relationship between the two variables rather than direction since direction is obvious in this case. Maternal age is continuous and usually skewed while parity is ordinal and skewed. With these scales of measurement for the data, the appropriate correlation coefficient to use is Spearman's.
1.explain the relevance of the increase of the failure for the shear block possibility
2.can the block shear failure be described as the failure of member occurs along path involving tension on one plane and shear on perpendicular plane along fasteners
3.explain the principle of the stress concentration factor
4.The tensile stress adjacent to hole will be?
5.how is the ross section reach toultimate stress related to the section rupture failure
6.what is your understanding of the connection between the Tension member without bolt holes and thelongitudinal direction considerably
7.propose on the displacement tension criteria and formula
8.The limits specified for slenderness ratio are not?
9. What is the maximum effective slenderness ratio for members always in tension?
10.explain on the figure 350 for the maximum effective slenderness ratio as far As the bracing member is concerned
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