Chapter 8: Q135E (page 452)
4.135 Suppose xhas an exponential distribution with . Find
the following probabilities:
Short Answer
- .The probability is 0.3679
- The probability is 0.9502
- The probability is 0.2231
- The probability is 0.9933
Chapter 8: Q135E (page 452)
4.135 Suppose xhas an exponential distribution with . Find
the following probabilities:
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Get started for freeBuy-side vs. sell-side analysts' earnings forecasts. Refer to the Financial Analysts Journal (Jul. /Aug. 2008) study of financial analysts' forecast earnings, Exercise 2.86 (p. 112). Recall that data were collected from buy-side analysts and forecasts made by sell-side analysts, and the relative absolute forecast error was determined for each. The mean and standard deviation of forecast errors for both types of analysts are given in the table.
a. Construct a confidence interval for the difference between the mean forecast error of buy-side analysts and the mean forecast error of sell-side analysts.
b. Based on the interval, part a, which type of analysis has the greater mean forecast error? Explain.
c. What assumptions about the underlying populations of forecast errors (if any) are necessary for the validity of the inference, part b?
The data for a random sample of six paired observations are shown in the next table.
a. Calculate the difference between each pair of observations by subtracting observation two from observation 1. Use the differences to calculate .
b. If are the means of populations 1 and 2, respectively, expressed in terms of .
Pair | Sample from Population 1 (Observation 1) | Sample from Population 2(Observation 2) |
c. Form a confidence interval for .
d. Test the null hypothesis against the alternative hypothesis . Use .
A paired difference experiment produced the following results:
a. Determine the values for which the null hypothesis would be rejected in favor of the alternative hypothesis Use .role="math" localid="1652704322912"
b. Conduct the paired difference test described in part a. Draw the appropriate conclusions.
c. What assumptions are necessary so that the paired difference test will be valid?
d. Find a confidence interval for the mean difference .
e. Which of the two inferential procedures, the confidence interval of part d or the test of the hypothesis of part b, provides more information about the differences between the population means?
Optimal goal target in soccer. When attempting to score a goal in soccer, where should you aim your shot? Should you aim for a goalpost (as some soccer coaches teach), the middle of the goal, or some other target? To answer these questions, Chance (Fall 2009) utilized the normal probability distribution. Suppose the accuracy x of a professional soccer player’s shots follows a normal distribution with a mean of 0 feet and a standard deviation of 3 feet. (For example, if the player hits his target,x=0; if he misses his target 2 feet to the right, x=2; and if he misses 1 foot to the left,x=-1.) Now, a regulation soccer goal is 24 feet wide. Assume that a goalkeeper will stop (save) all shots within 9 feet of where he is standing; all other shots on goal will score. Consider a goalkeeper who stands in the middle of the goal.
a. If the player aims for the right goalpost, what is the probability that he will score?
b. If the player aims for the center of the goal, what is the probability that he will score?
c. If the player aims for halfway between the right goal post and the outer limit of the goalkeeper’s reach, what is the probability that he will score?
The “winner’s curse” in transaction bidding. In transaction bidding, the “winner’s curse” is the miracle of the winning (or loftiest) shot price being above the anticipated value of the item being auctioned. The Review of Economics and Statistics (Aug. 2001) published a study on whether shot experience impacts the liability of the winner’s curse being. Two groups of a stab in a sealed-shot transaction were compared (1)super-experienced stab and (2) less educated stab. In the super-experienced group, 29 of 189 winning flings were above the item’s anticipated value; 32 of 149 winning flings were above the item’s anticipated value in the less-educated group.
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