CLARIFYING THE CONCEPTS
1. What does the word standardize mean? Explain how we use standardization in solving normal probability problems. (p. 368)
6.5.1
To standardize things means to make them all the same, uniform, or equivalent. To standardize a normal random variable , we transform into the standard normal random variable using the formula . We do this so that we can use the standard normal table to find the probabilities.
2. When finding a data value for a specified probability, explain why we can't just report the -value but must transform back to the original normal distribution. (p. 372)
PRACTICING THE TECHNIQUES
CHECK IT OUT!
To do | Check out | Topic |
---|---|---|
Exercises 3–9 | Example 38 | Finding probability for a normal random variable |
Exercises 10–14 | Example 39 | Finding probability that lies between two given values |
Exercises 15–22 | Example 40 | Finding a normal data value for a given area |
Exercises 23–26 | Example 41 | Finding the -values that mark the boundaries of the middle 95% of -values |
Exercises 27–30 | Example 43 | Normal probability plots |
For Exercises 3–14, assume that the random variable is normally distributed with mean and standard deviation . Draw a graph of the normal curve with the desired probability and value of indicated. Find the indicated probabilities by standardizing to
3.
6.5.3
0.5
4.
5.
6.5.5
0.8413
6.
7.
6.5.7
0.0062
8.
9.
6.5.9
0.9332
10.
11.
6.5.11
0.8400
12.
13.
6.5.13
0.0049
14.
For Exercises 15–26, assume that the random variable is normally distributed with mean and standard deviation . Draw a graph of the normal curve with the desired probability and value of indicated. Find the indicated values of using the formula .
15. The value of larger than 95% of all -values (that is, the 95th percentile)
6.5.15
86.45; see Solutions Manual for graph.
16. The value of smaller than 95% of all -values
17. The value of larger than 97.5% of all -values
6.5.17
89.6
18. The value of smaller than 97.5% of all -values
19. The 1st percentile
6.5.19
46.7
20. The 99th percentile (note that the 1st and 99th percentiles are symmetric values of that contain the central 98% of the area under the curve between them)
21. The 0.5th percentile
6.5.21
44.2
22. The 99.5th percentile
23. The two symmetric values of that contain the central 90% of -values between them
6.5.23
53.55 and 86.45; see Solutions Manual for graph.
24. The two symmetric values of that contain the central 95% of -values between them
25. The two symmetric values of that contain the central 98% of -values between them
6.5.25
46.7 and 93.3
26. The two symmetric values of that contain the central 99% of -values between them
For Exercises 27–30, determine whether the normal probability plots indicate acceptable normality of the data set.
27.
6.5.27
No
383
28.
29.
6.5.29
Yes
30.
APPLYING THE CONCEPTS
31. Hungry Babies. Six-week-old babies consume a mean of ounces of milk per day, with a standard deviation of 2 ounces. Assume that the distribution is normal. Find the probability that a randomly chosen baby consumes the following amounts of milk per day:
6.5.31
(a) 0.5 (b) 0.1587 (c) 0.1359
32. Speed Kills Your Wallet. NerdWallet.com reported in 2014 that the average auto insurance increase for drivers sustaining a 15 miles per hour over the limit speeding ticket is $124.80 per year. Assume that the distribution is normal with mean and standard deviation . Find the probability that a randomly selected driver with such a ticket received the following car insurance increases:
33. Windy Frisco. The mean wind speed in San Francisco is 13.6 mph in July, according to the U.S. National Oceanic and Atmospheric Administration. Suppose that the distribution of the wind speed in July in San Francisco is normal with mean and standard deviation . Find the probability that a randomly chosen day in July has the following wind speeds:
6.5.33
(a) 0.1423 (b) 0.1423 (c) 26.67% (d) (e) -score is −2.27; moderately unusual
34. Facebook Friends. Statistica.com reported in 2014 that the mean number of Facebook friends for 18- to 24-year-olds is 649. Assume the distribution is normal with and standard deviation . Find the probability that a randomly selected Facebook user has the following number of friends:
35. Hungry Babies. Refer to Exercise 31.
6.5.35
(a) 18.29 ounces (b) 11.71 ounces (c) 11.71 ounces and 18.29 ounces
36. Speed Kills Your Wallet. Refer to Exercise 32.
37. Windy Frisco. Refer to Exercise 33.
6.5.37
(a) 21.28 mph (TI-83/84: 21.29 mph) (b) 5.92 mph (TI-83/84: 5.91 mph) (c) 5.92 (5.91) mph and 21.28 (21.29) mph
384
38. Facebook Friends. Refer to Exercise 34.
39. Hospital Patient Length of Stays. The Agency for Healthcare Research and Quality reported that the mean length of patient hospital stays in 2012 was 4.9 days. Assume that the distribution of patient length of stays is normal, with a standard deviation of 1 day.
6.5.39
(a) 0.0179 (b) 0.5111 (c) 4.9 days; (d) Yes;
40. Tobacco-Related Deaths. The World Health Organization states that tobacco is the second leading cause of death in the world. Every year, a mean of 5 million people die of tobacco-related causes. Assume that the distribution is normal with and .
41. Price of Crude Oil. The Organization of Petroleum Exporting States reports that the mean price for crude oil in July 2014 was $105.115 (one hundred five dollars, eleven and a half cents) per barrel. Assume the data is normal with mean and standard deviation .
6.5.41
(a) 0.2643 (b) 0.8643 (c) $84.36 (d) $125.64 (e) $84.36 and $125.64; yes, use the answers to (c) and (d)
42. Calories per Gram. The histogram shows the number of calories per gram for 961 food items. Assume that the population mean calories per gram is 2.25 with a standard deviation of 2.
Use the Normal Density Curve applet for Exercise 43.
43. Use the applet to find the answers to the following exercises from this section:
6.5.43
For the graphs see the Solutions Manual. (a) 18.29 ounces (b) 11.71 ounce; (c) $171.40 (d) 21.28 mph (e) 5.92 mph and 21.28 mph
BRINGING IT ALL TOGETHER
Chapter 6 Case Study: SAT Scores and AP Exam Scores.
The College Board reported in 2013 that females taking the Writing SAT had a mean score of with a standard deviation of , whereas males had a mean score of with a standard deviation of . Assume both sets of scores follow a normal distribution. Use this information for Exercises 44–48.
44. Suppose students win a writing scholarship if they score above 700 on the Writing SAT.
385
45. Suppose students are identified as at-risk writers if they score below 400 on the Writing SAT.
6.5.45
(a) 0.2033 (b) 0.2389 (c) A higher proportion of males will be identified as at-risk writers than females. This makes sense given that females have a higher average on the Writing SAT test than males.
46. Calculate the two symmetric female Writing SAT scores and that contain the central 95% of -values between them.
47. Compute the two symmetric male Writing SAT scores and that contain the central 95% of -values between them.
6.5.47
256.6 and 707.4
48.What if the female standard deviation was some unknown value greater than Describe how that change would affect the following: