TrueFalse StatisticProbability 1 Correlation coefficient ca

True/False Statistic/Probability

___ 1. Correlation coefficient can range from 0 to 1.0.

___ 2. Correlation coefficient of zero indicate the absence of any relationship between two variables.

___ 3. A linear trend line can be obtained by using a least square methods rather than scatter diagram method.

___ 4. When the values taken by a variable are subject to counting, it is a continuous variable (e.g., binomial distribution).

___ 5. If events A and B are dependent then P(A)=P(B\\A).

___ 6. Given two events, A and B, that are not mutually exclusive and P(A)=0.3 and P(B)=0.5, then P(A or B)=0.8

___ 7. One of the major properties of normal distribution is that it is a discrte probability distribution.

___ 8. The coefficient of determination equals the proportion of variation in Y that is unexplained by regression.

___ 9. The expected value is a measure of dispersion of the value taken by a random variable.

___10. Given that the attendance at football games at GSC averages 5,000 with standard deviation of 500, then the probabilitythat attendance will be larger than 6,000 is 0.4772.

___11. Given two events A and B, and the third event, C ,that is

       conditionally dependent upon A and B, and P(A)=0.2, P(B)=0.3, P(C\\A)=0.4 and P(C\\B)=0.5, then P(A\\C) is 0.23.

___12. The coefficient of variation indicates the relative ratio of the expected value(mean) to the standard deviation.

___13. The standard normal distribution will have mean value of 1 and standard deviation of 0 in its standard form.

___14. Type II error (beta) is equivalent to rejecting the null hypothesis when it is true.

___15. When test results are significant at the 5% level, there is a 95% chance that rejecting Ho is the correct decision

___16. In regression analysis, the dependent vaiable is used to predict the value of the independent variables.

___17. The number of degrees of freedom associated with a multiple regression having two IVs and 30 observation is 28.

___18. In the equation Y = A + BX, A is the Y intercept, Y is the independent variable and X is dependent variable  

___19. If r=-0.999, we say that X and Y are not highly correlated.

___20. The variance of a random variable is equal to the square root of its expected value.

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