ICS Part 2 Statistics Online Test With Answers

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ICS Part 2 Statistics Online Test

Sr. # Questions Answers Choice
1 n = (A) + -------------------- (B) (α) (β) (A)
2 (AB), (Aβ), (αB), (αβ) are called positive class frequencies negative class frequencies natural class frequencies ultimate class frequencies
3 The degree of relationship between the two attributes is called regressor correlation regressand association
4 Degree of linear relationship between two variables is called regression association correlation disassociation
5 A process of dividing the objects into two mutually exclusive classes of an attribute is called classification trichotomy dichotomy association
6 A characteristic which varies in quality form one individual to another is called variable constant attribute none of these
7 If X and Y are independent, then Cov(x,y) = 0 which implies that b<sub>yx</sub> = 0 b<sub>xy</sub> = 0 ρ = 0 a = 0
8 rxy -------------- ryx = &lt; &gt; ≠
9 If constants are added to or subtracted from the values of the variables, the value of r  is negative is positive is zero remains unchanged
10 The measures of strength of closeness of linear relationship between two variables is called simple linear regression composite linear regression simple linear correlation composite linear correlation
11 If r = -1, then there is negative correlation perfect negative correlation no correlation average correlation
12 If byx = 0.89 and bxy = 0.75, then r= 0.89 0.28 0.98 0.82
13 r is the ------------ of two regression co-efficient byx and bxy arithmetic mean geometric mean harmonic mean median
14 The estimates of the parameters=α and=β are μ and=σ2 a and b μ andπ χ2 and Z
15 A set of points in a rectangular coordinate system, where each point represents an observed pair of values is called least square regression scatter diagram pie graph regression coefficient
16 The variable that forms the basis of estimation is called regression regressand regressor correlation
17 The relationship that describes the dependence of the expected value of the dependent random variable for a given value of the independent non-random variable is called equation relation ratio regression
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