ICS Part 2 Statistics Online Test With Answers

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ICS Part 2 Statistics Online Test

Sr. # Questions Answers Choice
1 The value of the coefficient of correlation relies between__________. -1 and +1 0 and 1 -1 and 0 -0.5 and + 0.5
2 The regression equation always passes throught_________. (X, Y) (X, y̅) (X̅, Y) (X̅, y̅)
3 When bxy is positive, then byx will be _______. Negative Positive Zero One
4 The straight line graph of the linear equation Y = a + bX, the slope will be upward it_______. b = 0 b < 0 b > 0 b ≠ 0
5 In simple linear regression, the number of unknown constants are: Two Three Four Five
6 If the value of any regression coefficient is zero, then two variable are _______. Qualitative Correlation Dependent Independent
7 The _______ regression line always passes through (X̅, y̅). Opposite Estimated Estimates Random
8 The variable, whose resulting value depends upon the selected value of the independent variable is called______. Regression Regressor Regressand Coefficient
9 A data points falling along a straight line is called______. Linear relationship Non-linear relationship Linear positive Scatter diagram
10 A relationship where the flow of the data points is best represented by a curve is called_______. Linear positive Linear negative Linear relationship Nonlinear relatiobship
11 The variable, that forms the basis of estimation, is called_______. Regression Regressor Regressand Estimated
12 A process by which we estimate the value of dependent variable on the basis of one or more independent variable is called_________. Residual Correlation Regression Slope
13 An example in a two-sided, alternative hypothesis is: H<sub>1</sub> :u &lt; 0 H<sub>1</sub> : u &gt; 0 H<sub>1</sub> L u <u>&gt;</u> 0 H<sub>1</sub> : u ≠ 0
14 Given=μ0 = 170, X̅ = 190,σ = 36 and n = 9; which statistic is appropriate? t z x2 F
15 Which of the following is not composite hypothesis? <sup>μ <u>&lt;</u> μ</sup><sub>^</sub> μ <u>&gt;</u> μ<sub>0</sub> μ = μ<sub>o</sub>
16 Suppose that the null hypothesis is true and it is rejected, is known as: α type-I error, and its probability is&nbsp;β α type-I error, and its probability is&nbsp;α α type-II error, and its probability is&nbsp;α α type-II error, and its probability is β
17 The degree of confidence is equal to: β 1 -&nbsp;β 1 -&nbsp;α α
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