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9. For a continuous random variable x, the probability density function f(x) represents a. the probability at a given value of x the area under the curve at x C. the area under the curve to the right of x the height of the function at x 30. A uniform probability distribution is a continuous probability distribution where the probability that the random variable assumes a value in any interval of equal length is different for each interval the same for each interval C. at least one d. None of these alternatives is correct. $1. The function that defines the probability distribution of a continuous random variable is a a. normal function uniform function C. either normal of uniform depending on the situation probability density function 32. Consider a binomial probability experiment with n = 3 and p = 0.1. Then, the probability of x = 0 is 0.000 0.0001 0.001 0.729 13. Larger values of the standard deviation result in a normal curve that is shifted to the right shifted to the left narrower and more peaked wider and flatter 34. The mean of a standard normal probability distribution is always equal to zero can be any value as long as it is positive can be any value is always greater than zero 5 A continuous random variable may assume a . all values in an interval or collection of intervals only integer values in an interval or collection of intervals only fractional values in an interval or collection of intervals d. all the positive integer values in an interval 36. For a standard normal distribution, the probability of z 0 is a. zero 1-0.5 0.5 one 7. The highest point of a normal curve occurs at a. one standard deviation to the right of the mean two standard deviations to the right of the mean C. approximately three standard deviations to the right of the mean d. the mean 38. Z is a standard normal random variable. The P (1.41