1. A discrete random variable is defined ______, whereas a continuous random variable is defined ______.
2. over multiple points in time, at one point in time
3. by measuring, by counting
4. at each point, over an interval of points
5. as incomplete,as complete
6. all of the choices above
7. noneof the choices above

QUESTION 2

1. Why do we not calculate theP(X=x) for a continuous random variable?
2. Because the equations are too difficult
3. Because we agreed not to use Calculus in this course
4. Because it would be zero for any value ofx
5. Because it would 1.0000 for any value ofx
6. All of the choices above
7. None of the choices above

QUESTION 3

1. Why is it so important that we understand the concept of the PDF in a continuous probability distribution if we never use it to calculate theP(X=x)?
2. Because the PDF is used to determine theZscore
3. Because we use the CDF to calculate probabilities
4. Because we must keep in mind that our calculations will be wrong to some extent if the shape of our data distribution differs from the shape defined by the PDF of the model we are using
5. Because we could never remember the calculus involved in finding the area under a curve defined by the PDF
6. All of the choices above
7. None of the choices above

QUESTION 4

1. The Empirical Rule tells us that ______.
2. Approximately 95% of the observed values ofXare expected to lie within 3 standard deviations of the mean in a normal distribution
3. Approximately 68% of the observed values ofXare expected to lie within 2 standard deviations of the mean in a normal distribution
4. Nearly all of the observed values ofXare expected to lie within 3 standard deviations of the mean in a normal distribution
5. Approximately 99.73% of the observed values ofXare expected to lie within 2 standard deviations of the mean in a normal distribution
6. All of the choices above
7. None of the choices above

QUESTION 5

1. Theandfor a uniform continuous distribution with a minimum value of 115 and a maximum value of 183 are _____________.
2. not calculated because the variables are continuous
3. unimportant because all the probabilities are the same
4. 149.0000 and19.6299 respectively
5. 149.0000 and19.9165
6. All of the choices above
7. None of the choices above

QUESTION 6

1. The standardized value ofxwhen the population mean is 25 and the population standard deviation is 2 is ______.
2. 14.7500
3. 14.7500
4. 23.00
5. 27.0000
6. All of the choices above
7. None of the choices above

QUESTION 7

1. TheP(Xz) when the population mean is 25 and the population standard deviation is 2 andxis 22 is ______.
2. .0668
3. .9332
4. .9332
5. 1.9332
6. All of the choices above
7. None of the choices above

QUESTION 8

1. The value of the population mean whenzis 1.22, the population standard deviation is 3, andxis 22 is ______.
2. 18.3400
3. 13.8400
4. 14.8300
5. 18.4300
6. All of the choices above
7. None of the choices above

QUESTION 9

1. If the minimum is 25, the mode is 35, and the maximum is 41, what is theP(X<40)
2. 1.0000
3. .9896
4. .9869
5. .9986
6. All of the choices above
7. None of the choices above

QUESTION 10

1. If the average time between events is 4 months and the event occurred today, what is the probability that is will take more than another 2 months for the next event to occur
2. .9997
3. .3935
4. .6065
5. .0003
6. All of the choices above
7. None of the choices above