STATS:DATA+MODELS-W/DVD
4th Edition
ISBN: 9780321986498
Author: DeVeaux
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Videos
Question
Chapter 12, Problem 14E
To determine
Find the confounding variables that influence the experimental design.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
A local electronics store just received a shipment of 620 HDMI cables. The manager wants to estimate the number of defective HDMI cables in the shipment. Rather than checking every HDMI cable, the manager plans to take a simple random sample of size 62 in order to estimate the proportion of defective HDMI cables in the shipment. If the sample proportion of defective HDMI cables, p̂p̂, is greater than 0.0323 (there are more than two defective HDMI cables in the sample), the manager will file a complaint and request a new shipment.
Suppose that the true proportion of defective HDMI cables in the shipment is approximately p = 0.02.
What is the expected value of the sample proportion?
E(Pˆ)E(P^)=
Since the sample is to be drawn from a finite population, and since the sample is 5% of the population size, the finite population correction factor needed when you calculate the standard deviation of the sampling distribution.
What is the standard deviation of the…
An automobile battery manufacturer offers a 39/50 warranty on its batteries. The first number in the warranty code is the free-replacement period; the second number is the prorated-credit period. Under this warranty, if a battery fails within 39 months of purchase, the manufacturer replaces the battery at no charge to the consumer. If the battery fails after 39 months but within 50 months, the manufacturer provides a prorated credit toward the purchase of a new battery.
The manufacturer assumes that X, the lifetime of its auto batteries, is normally distributed with a mean of 44 months and a standard deviation of 3.6 months.
Use the following Distributions tool to help you answer the questions that follow. (Hint: When you adjust the parameters of a distribution, you must reposition the vertical line (or lines) for the correct areas to be displayed.)
0123
Select a Distribution
If the manufacturer’s assumptions are correct, it would need to replace of its…
In regards to conducting a linear contrast after a one-way ANOVA, can you explain how seemingly arbitrary weights that "emphasize or de-emphasize" certain variables in a linear combination and sum to zero are able to provide information about how certain groups differ from each other? For example, if we havethree groups A, B, and C, and we want tocompare the mean of group A with theaverage of groups B and C, the weights inthis case are 1 for group A, and -0.5 for groupsB and C, which sum to zero. But how do these numbers model the relationship of comparing one group to the average of the other two? Does it have to do with how the math is carried out, such as how the test statistic is created?
Chapter 12 Solutions
STATS:DATA+MODELS-W/DVD
Ch. 12.3 - 1. At one time, a method called “gastric freezing”...Ch. 12.4 - Prob. 2JCCh. 12 - Prob. 1ECh. 12 - 2. E-commerce A business student conjectures that...Ch. 12 - 3. Tips A pizza delivery driver, always trying to...Ch. 12 - 4. Tomatoes You want to compare the tastiness and...Ch. 12 - 5. Tips II For the experiment described in...Ch. 12 - 6. Tomatoes II For the experiment described in...Ch. 12 - 7. Tips again For the experiment of Exercise 3,...Ch. 12 - 8. Tomatoes again For the experiment of Exercise...
Ch. 12 - 9. More tips Is the experiment of Exercise 3...Ch. 12 - 10. More tomatoes If the tomato taster doesn’t...Ch. 12 - 11. Block that tip The driver of Exercise 3 wants...Ch. 12 - 12. Blocking tomatoes To obtain enough plants for...Ch. 12 - 13. Confounded tips For the experiment of Exercise...Ch. 12 - 14. Tomatoes finis What factors might confound the...Ch. 12 - 15. Standardized test scores For his statistics...Ch. 12 - 16. Heart attacks and height Researchers who...Ch. 12 - 17. MS and vitamin D Multiple sclerosis (MS) is an...Ch. 12 - 18. Super Bowl commercials When spending large...Ch. 12 - Prob. 19ECh. 12 - 20. Honesty Coffee stations in offices often just...Ch. 12 - 21–34. What’s the design? Read each brief report...Ch. 12 - 21–34. What’s the design? Read each brief report...Ch. 12 - 21–34. What’s the design? Read each brief report...Ch. 12 - 21–34. What’s the design? Read each brief report...Ch. 12 - 21–34. What’s the design? Read each brief report...Ch. 12 - 21–34. What’s the design? Read each brief report...Ch. 12 - 21–34. What’s the design? Read each brief report...Ch. 12 - 21–34. What’s the design? Read each brief report...Ch. 12 - 21–34. What’s the design? Read each brief report...Ch. 12 - 21–34. What’s the design? Read each brief report...Ch. 12 - 21–34. What’s the design? Read each brief report...Ch. 12 - 21–34. What’s the design? Read each brief report...Ch. 12 - 21–34. What’s the design? Read each brief report...Ch. 12 - 21–34. What’s the design? Read each brief report...Ch. 12 - 35. Omega-3 Exercise 21 describes an experiment...Ch. 12 - 36. Insomnia Exercise 24 describes an experiment...Ch. 12 - 37. Omega-3, revisited Exercises 21 and 35...Ch. 12 - 38. Insomnia, again Exercises 24 and 36 describe...Ch. 12 - 39. Omega-3, finis Exercises 21, 35, and 37...Ch. 12 - 40. Insomnia, at last Exercises 24, 36, and 38...Ch. 12 - 41. Injuries Exercise 33 describes an experiment...Ch. 12 - 42. Tomatoes II Describe a strategy to randomly...Ch. 12 - 43. Shoes A running-shoe manufacturer wants to...Ch. 12 - 44. Swimsuits A swimsuit manufacturer wants to...Ch. 12 - 45. Hamstrings Exercise 33 discussed an experiment...Ch. 12 - 46. Diet and blood pressure An experiment showed...Ch. 12 - Prob. 47ECh. 12 - 48. Contrast baths Contrast bath treatments use...Ch. 12 - Prob. 49ECh. 12 - 50. Swimming Recently, a group of adults who swim...Ch. 12 - 51. Dowsing Before drilling for water, many rural...Ch. 12 - 52. Healing A medical researcher suspects that...Ch. 12 - 53. Reading Some schools teach reading using...Ch. 12 - 54. Gas mileage Do cars get better gas mileage...Ch. 12 - 55. Weekend deaths A study published in the New...Ch. 12 - 56. Shingles A research doctor has discovered a...Ch. 12 - 57. Beetles Hoping to learn how to control crop...Ch. 12 - 58. SAT prep Can special study courses actually...Ch. 12 - 59. Safety switch An industrial machine requires...Ch. 12 - 60. Washing clothes A consumer group wants to test...Ch. 12 - 61. Skydiving, anyone? A humor piece published in...
Knowledge Booster
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.Similar questions
- Can you simply and intuitively explain the purpose of a contrast to the treatment sum of squares? For example, do orthogonal contrasts partition the treatment sum of squares into additive components that represent the variation due to each contrast? If so, what would be the purpose of this?arrow_forwardThe height of the graph of the probability density function f(x) varies with X as follows (round to four decimal places): X 16 Height of the Graph of the Probability Density Function You are flying out of Terminal 3 at JFK on a Wednesday afternoon between 3:00 and 4:00 PM. You get stuck in a traffic jam on the way to the airport, and if it takes you longer than 12 minutes to clear security, you'll miss your flight. The probability that you'll miss your flight is You have arrived at the airport and have been waiting 10 minutes at the security checkpoint. Recall that if you spend more than 12 minutes clearing security, you will miss your flight. Now what is the probability that you'll miss your flight? ○ 0.5 O 0.25 ○ 0.8333 ○ 0.6667arrow_forwardonsider a random variable x that follows a uniform distribution, with a = 2 and b = 9. What is the probability that x is less than 6? P(x < 6) = 0.2857 P(x < 6) = 0.5714 P(x < 6) = 0.17142 P(x < 6) = 0.4286 What is the probability that x is between 4 and 6? P(4 ≤ x ≤ 6) = 0.2857 P(4 ≤ x ≤ 6) = 0.157135 P(4 ≤ x ≤ 6) = 0.0928525 P(4 ≤ x ≤ 6) = 0.11428arrow_forward
- Consider a random variable x that follows a uniform distribution, with a = 8 and b = 14. What is the probability that x is less than 13? P(x < 13) = 0.1667 P(x < 13) = 0.41665 P(x < 13) = 0.24999 P(x < 13) = 0.8333 What is the probability that x is between 11 and 12? P(11 ≤ x ≤ 12) = 0.0541775 P(11 ≤ x ≤ 12) = 0.1667 P(11 ≤ x ≤ 12) = 0.06668 P(11 ≤ x ≤ 12) = 0.091685arrow_forwardplease solve this problem step by step and make it quick pleasearrow_forwardWHAT IS THE CORRECT ANSWER AND WHY?arrow_forward
- A common way for two people to settle a frivolous dispute is to play a game of rock-paper-scissors. In this game, each person simultaneously displays a hand signal to indicate a rock, a piece of paper, or a pair of scissors. Rock beats scissors, scissors beats paper, and paper beats rock. If both players select the same hand signal, the game results in a tie. Two roommates, roommate A and roommate B, are expecting company and are arguing over who should have to wash the dishes before the company arrives. Roommate A suggests a game of rock-paper-scissors to settle the dispute. Consider the game of rock-paper-scissors to be an experiment. In the long run, roommate A chooses rock 21% of the time, and roommate B chooses rock 61% of the time; roommate A selects paper 39% of the time, and roommate B selects paper 21% of the time; roommate A chooses scissors 40% of the time, and roommate B chooses scissors 18% of the time. (These choices are made randomly and independently of each…arrow_forwardA qualifying exam for a graduate school program has a math section and a verbal section. Students receive a score of 1, 2, or 3 on each section. Define X as a student’s score on the math section and Y as a student’s score on the verbal section. Test scores vary according to the following bivariate probability distribution. y 1 2 3 1 0.22 0.33 0.05 x 2 0.00 0.08 0.20 3 0.07 0.05 0.00 μXX = , and μYY = σXX = , and σYY = The covariance of X and Y is . The coefficient of correlation is . The variables X and Y independent. The expected value of X + Y is , and the variance of X + Y is . To be accepted to a particular graduate school program, a student must have a combined score of 4 on the qualifying exam. What is the probability that a randomly selected exam taker qualifies for the program? 0.45 0.47 0.46 0.33 Chebysheff’s Theorem states that the…arrow_forwardwhat is the correct answer and why?arrow_forward
- (a) How many bit strings of length 10 both begin with a 1 and end with 2 zeroes? (b) How many permutations of the letters PQRSTUV contain PRS and QV?arrow_forward(d) A clothing store sells red, white, green, orange and pink charms for a specialty bracelet. How many ways can a customer purchase a bracelet with (i) 16 charms? (ii) 27 charms with at least 3 of each colour?arrow_forward(d) Draw the Venn diagram which represents the set (A U B) U (B NC).arrow_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
MATLAB: An Introduction with ApplicationsStatisticsISBN:9781119256830Author:Amos GilatPublisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...StatisticsISBN:9781305251809Author:Jay L. DevorePublisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...StatisticsISBN:9781305504912Author:Frederick J Gravetter, Larry B. WallnauPublisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...StatisticsISBN:9780134683416Author:Ron Larson, Betsy FarberPublisher:PEARSON
The Basic Practice of StatisticsStatisticsISBN:9781319042578Author:David S. Moore, William I. Notz, Michael A. FlignerPublisher:W. H. Freeman
Introduction to the Practice of StatisticsStatisticsISBN:9781319013387Author:David S. Moore, George P. McCabe, Bruce A. CraigPublisher:W. H. Freeman
MATLAB: An Introduction with Applications
Statistics
ISBN:9781119256830
Author:Amos Gilat
Publisher:John Wiley & Sons Inc
Probability and Statistics for Engineering and th...
Statistics
ISBN:9781305251809
Author:Jay L. Devore
Publisher:Cengage Learning
Statistics for The Behavioral Sciences (MindTap C...
Statistics
ISBN:9781305504912
Author:Frederick J Gravetter, Larry B. Wallnau
Publisher:Cengage Learning
Elementary Statistics: Picturing the World (7th E...
Statistics
ISBN:9780134683416
Author:Ron Larson, Betsy Farber
Publisher:PEARSON
The Basic Practice of Statistics
Statistics
ISBN:9781319042578
Author:David S. Moore, William I. Notz, Michael A. Fligner
Publisher:W. H. Freeman
Introduction to the Practice of Statistics
Statistics
ISBN:9781319013387
Author:David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:W. H. Freeman
what is Research Design, Research Design Types, and Research Design Methods; Author: Educational Hub;https://www.youtube.com/watch?v=LpmGSioXxdo;License: Standard YouTube License, CC-BY