Elementary Statistics (Text Only)
2nd Edition
ISBN: 9780077836351
Author: Author
Publisher: McGraw Hill
expand_more
expand_more
format_list_bulleted
Concept explainers
Videos
Textbook Question
Chapter 9.3, Problem 37E
Larger or smaller P-value? In a study of sleeping habits, a researcher wants to test the null hypothesis that adults in a certain community get a
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
very time you conduct a hypothesis test, there are four possible outcomes of your decision to reject or not reject the null hypothesis: (1) You don’t reject the null hypothesis when it is true, (2) you reject the null hypothesis when it is true, (3) you don’t reject the null hypothesis when it is false, and (4) you reject the null hypothesis when it is false.
Consider the following analogy: You are an airport security screener. For every passenger who passes through your security checkpoint, you must decide whether to select the passenger for further screening based on your assessment of whether he or she is carrying a weapon. Suppose your null hypothesis is that the passenger has a weapon. As in hypothesis testing, there are four possible outcomes of your decision: (1) You select the passenger for further inspection when the passenger has a weapon, (2) you allow the passenger to board her flight when the passenger has a weapon, (3) you select the passenger for further inspection when…
EKS
C
ALEKS - Kim Johnson - Ch 6S × 4
www-awy.aleks.com alekscgi/x/sl.exe/16_u-lgNs/kr7j8FB)--BjuvZG weRMign 4tCy83MpSgONH0-ovaPm-Zym
e Chrome isn't your default browser
Set as default
Ch 6 Sec 4 Homework
Question 4 of 4 (1 point) | Question Attempt: 2 of Unlimited
✓ 2
✓ 3
= 4
Stress at work: In a poll conducted by the General Social Survey, 81% of respondents said that their jobs were sometimes or always stressful. Two hundred
workers are chosen at random. Use the TI-84 Plus calculator as needed. Round your answer to at least four decimal places.
(a) Approximate the probability that 155 or fewer workers find their jobs stressful.
(b) Approximate the probability that more than 145 workers find their jobs stressful.
(c) Approximate the probability that the number of workers who find their jobs stressful is between 154 and 172 inclusive.
Part 1 of 3
The probability that 155 or fewer workers find their jobs stressful is 0.1207
Part 2 of 3
bility that more than 145 workers find their jobs…
A case-control (or retrospective) study was conducted to investigate a relationship between the colors of helmets worn by motorcycle drivers and whether they are injured or killed in a crash. Results are given in the accompanying table. Using a 0.01
significance level, test the claim that injuries are independent of helmet color.
Color of Helmet
Black
White
Yellow
Red
Blue
Controls (not injured)
499
373
32
159
79
Cases (injured
221
108
8
66
38
or killed)
Click here to view the chi-square distribution table.
Chi-square distribution table
Area to the Right of the Critical Value
Degrees of
Freedom
0.995
0.99
0.975
0.95
0.90
0.10
0.05
0.025
0.01
0.005
C. Ho: Injuries and neimet color are dependent
H₁: Injuries and helmet color are independent
D. Ho: Whether a crash occurs and helmet color are dependent
1
0.001
0.004
0.016
2.706
3.841
5.024
6.635
7.879
2
0.010
0.020
0.051
0.103
0.211
4.605
5.991
7.378
9.210
10.597
3
0.072
0.115
0.216
0.352
0.584
6.251
7.815
9.348
11.345
12.838
4
0.207
0.297…
Chapter 9 Solutions
Elementary Statistics (Text Only)
Ch. 9.1 - In Exercises 7 and 8, fill in each blank with the...Ch. 9.1 - In Exercises 7 and 8, fill in each blank with the...Ch. 9.1 - In Exercises 9-12, determine whether the statement...Ch. 9.1 - In Exercises 9-12, determine whether the statement...Ch. 9.1 - In Exercises 9-12, determine whether the statement...Ch. 9.1 - In Exercises 9-12, determine whether the statement...Ch. 9.1 - In Exercises 13-16, determine whether the...Ch. 9.1 - In Exercises 13-16, determine whether the...Ch. 9.1 - In Exercises 13-16, determine whether the...Ch. 9.1 - In Exercises 13-16, determine whether the...
Ch. 9.1 - In Exercises 17–20, determine whether the...Ch. 9.1 - In Exercises 17-20, determine whether the outcome...Ch. 9.1 - In Exercises 17–20, determine whether the...Ch. 9.1 - In Exercises 17–20, determine whether the...Ch. 9.1 - Fertilizer: A new type of fertilizer is being...Ch. 9.1 - Big fish: A sample of loo flounder of a certain...Ch. 9.1 - Check, please: A restaurant owner claims that the...Ch. 9.1 - Coffee: The mean caffeine content per cup of...Ch. 9.1 - Big dogs: A veterinarian claims that the mean...Ch. 9.1 - Business trips A sales manager believes that the...Ch. 9.1 - Type I error: A company that manufactures steel...Ch. 9.1 - Type I error: Washers used in a certain...Ch. 9.1 - Scales: It is desired to check the calibration of...Ch. 9.1 - IQ: Scores on a certain IQ test are known to have...Ch. 9.2 - In Exercises 23–28, fill in each blank with the...Ch. 9.2 - In Exercises 23-28, fill in each blank with the...Ch. 9.2 - Prob. 25ECh. 9.2 - In Exercises 23-28, fill in each blank with the...Ch. 9.2 - Prob. 27ECh. 9.2 - Prob. 28ECh. 9.2 - In Exercises 29-34, determine whether the...Ch. 9.2 - In Exercises 29-34, determine whether the...Ch. 9.2 - Prob. 31ECh. 9.2 - Prob. 32ECh. 9.2 - Prob. 33ECh. 9.2 - Prob. 34ECh. 9.2 - A test is made of H0:=50 versus H1:50. A sample of...Ch. 9.2 - A test is made of H0:=14 versus H1:14. A sample of...Ch. 9.2 - A test is made of H0:=130 versus H1:130. A sample...Ch. 9.2 - A test is made of H0:=5 versus H1:5. A sample of...Ch. 9.2 - A test of the hypothesis H0:=65 versus H1:65 was...Ch. 9.2 - A test of the hypothesis H0:=150 versus H1:150 was...Ch. 9.2 - True or false: If P=0.02, then The result is...Ch. 9.2 - True or false: If P=0.08, then The result is...Ch. 9.2 - A test of H0:=17 versus H1:17 is performed using a...Ch. 9.2 - A test of H0:=50 versus H1:50 is performed using a...Ch. 9.2 - A test of H0:=0 versus H1:0 is performed using a...Ch. 9.2 - Prob. 46ECh. 9.2 - If H0 is rejected at the =0.05 level, which of the...Ch. 9.2 - Prob. 48ECh. 9.2 - If P=0.03, which of the following is the best...Ch. 9.2 - Prob. 50ECh. 9.2 - Prob. 51ECh. 9.2 - Are you smarter than a second grader? A random...Ch. 9.2 - Height and age: Are older men shorter than younger...Ch. 9.2 - Calibrating a scale: Making sure that the scales...Ch. 9.2 - Prob. 55ECh. 9.2 - Prob. 56ECh. 9.2 - Prob. 57ECh. 9.2 - Prob. 58ECh. 9.2 - What are you drinking? Environmental Protection...Ch. 9.2 - Prob. 60ECh. 9.2 - Interpret calculator display: The age in years was...Ch. 9.2 - Interpret calculator display: The number of...Ch. 9.2 - Prob. 63ECh. 9.2 - Prob. 64ECh. 9.2 - Prob. 65ECh. 9.2 - Statistical or practical significance: A new...Ch. 9.2 - Test scores: A math teacher has developed a new...Ch. 9.2 - Prob. 68ECh. 9.2 - Prob. 69ECh. 9.2 - Prob. 70ECh. 9.2 - Prob. 71ECh. 9.2 - Large samples and practical significance: A sample...Ch. 9.3 - In Exercises 7 and 8, fill in each blank with the...Ch. 9.3 - Prob. 8ECh. 9.3 - Prob. 9ECh. 9.3 - Prob. 10ECh. 9.3 - Find the P-value for the following values of the...Ch. 9.3 - Find the P-value for the following values of the...Ch. 9.3 - Find the critical value or values for the...Ch. 9.3 - Find the critical value or values for the...Ch. 9.3 - Is there a doctor in the house? The market...Ch. 9.3 - College tuition: The mean annual tuition and fees...Ch. 9.3 - Big babies: The National Health Statistics Reports...Ch. 9.3 - Good credit: The Fair Isaac Corporation (FICO)...Ch. 9.3 - Commuting to work: The American Community Survey...Ch. 9.3 - Watching TV: The General Social Survey asked a...Ch. 9.3 - Prob. 21ECh. 9.3 - How much is in that can? A machine that fills...Ch. 9.3 - Prob. 23ECh. 9.3 - Prob. 24ECh. 9.3 - Keep cool: Following are prices, in dollars, of a...Ch. 9.3 - Prob. 26ECh. 9.3 - Prob. 27ECh. 9.3 - Prob. 28ECh. 9.3 - Interpret calculator display: A sample of adults...Ch. 9.3 - Prob. 30ECh. 9.3 - Prob. 31ECh. 9.3 - Prob. 32ECh. 9.3 - Does this diet work? In a study of the...Ch. 9.3 - Prob. 34ECh. 9.3 - Prob. 35ECh. 9.3 - Prob. 36ECh. 9.3 - Larger or smaller P-value? In a study of sleeping...Ch. 9.3 - Larger or smaller P-value? Juan and Mary want to...Ch. 9.3 - Interpret a P-value: A real estate agent believes...Ch. 9.3 - Interpret a P-value: The manufacturer of a...Ch. 9.3 - Using z instead of t: When the sample size is...Ch. 9.4 - In Exercises 5 and 6, fill in each blank with the...Ch. 9.4 - In Exercises 5 and 6, fill in each blank with the...Ch. 9.4 - Prob. 7ECh. 9.4 - Prob. 8ECh. 9.4 - In a simple random sample of size 80, there were...Ch. 9.4 - Prob. 10ECh. 9.4 - In a simple random sample of size 75, there were...Ch. 9.4 - In a simple random sample of size 150, there were...Ch. 9.4 - Prob. 13ECh. 9.4 - Prob. 14ECh. 9.4 - Prob. 15ECh. 9.4 - Prob. 16ECh. 9.4 - Quit smoking: In a survey of 444 HIV-positive...Ch. 9.4 - Prob. 18ECh. 9.4 - Prob. 19ECh. 9.4 - Curing diabetes: Vertical banded gastroplasty is a...Ch. 9.4 - Tweet tweet: An article in Forbes magazine...Ch. 9.4 - Prob. 22ECh. 9.4 - Choosing a doctor: Which do patients value more...Ch. 9.4 - Prob. 24ECh. 9.4 - Interpret calculator display: In a recent poll,...Ch. 9.4 - Prob. 26ECh. 9.4 - Prob. 27ECh. 9.4 - Prob. 28ECh. 9.4 - Prob. 29ECh. 9.4 - Who will you vote for? A simple random sample of...Ch. 9.4 - Prob. 31ECh. 9.4 - Dont perform a test: Over the past 100 days, the...Ch. 9.4 - Exact test: When np010 or n(1p0)10, we cannot use...Ch. 9.5 - In Exercises 5 and 6, fill in each blank with the...Ch. 9.5 - Prob. 6ECh. 9.5 - Prob. 7ECh. 9.5 - Prob. 8ECh. 9.5 - Prob. 9ECh. 9.5 - Prob. 10ECh. 9.5 - Prob. 11ECh. 9.5 - Prob. 12ECh. 9.5 - A random sample of size 25 from a normal...Ch. 9.5 - Prob. 14ECh. 9.5 - Babies: A sample of 25 one-year-old girls had a...Ch. 9.5 - Watching TV: The General Social Survey asked a...Ch. 9.5 - IQ scores: Scores on an IQ test are normally...Ch. 9.5 - SAT scores: Scores on the math SAT are normally...Ch. 9.5 - How much is in that can? A machine that fills...Ch. 9.5 - Prob. 20ECh. 9.5 - Prob. 21ECh. 9.5 - Prob. 22ECh. 9.5 - Prob. 23ECh. 9.6 - In Exercises 5–12, slate which type of parameter...Ch. 9.6 - Prob. 6ECh. 9.6 - Prob. 7ECh. 9.6 - Prob. 8ECh. 9.6 - Prob. 9ECh. 9.6 - Prob. 10ECh. 9.6 - Prob. 11ECh. 9.6 - Prob. 12ECh. 9.6 - Prob. 13ECh. 9.6 - Prob. 14ECh. 9.6 - Cookies: Following are the weights of 8 boxes of...Ch. 9.6 - Prob. 16ECh. 9.6 - Teacher salaries: A random sample of 50 public...Ch. 9.6 - Prob. 18ECh. 9.6 - Mercury pollution: Mercury is a toxic metal that...Ch. 9.6 - Prob. 20ECh. 9.7 - In Exercises 3-5, fill in each blank with the...Ch. 9.7 - Prob. 4ECh. 9.7 - Prob. 5ECh. 9.7 - In Exercises 6-8, determine whether the statement...Ch. 9.7 - Prob. 7ECh. 9.7 - Prob. 8ECh. 9.7 - Prob. 9ECh. 9.7 - A test has power 0.80 when 1=3.5. True or false:...Ch. 9.7 - Prob. 11ECh. 9.7 - Prob. 12ECh. 9.7 - Prob. 13ECh. 9.7 - Watch sour cholesterol: An article in the...Ch. 9.7 - Prob. 15ECh. 9.7 - Coffee beans: Refer to Exercise 12. A test of the...Ch. 9.7 - Prob. 17ECh. 9.7 - Prob. 18ECh. 9.7 - Prob. 19ECh. 9 - Fill in the blank: A test of the hypotheses H0:=65...Ch. 9 - A hypothesis test results in a P-value of 0.008....Ch. 9 - Prob. 3CQCh. 9 - Prob. 4CQCh. 9 - Prob. 5CQCh. 9 - Prob. 6CQCh. 9 - Prob. 7CQCh. 9 - In a random sample of 500 people who took their...Ch. 9 - Prob. 9CQCh. 9 - Prob. 10CQCh. 9 - Prob. 11CQCh. 9 - In a test of H0:=5 versus H1:5, the value of the...Ch. 9 - True or false: We can perform a test for a...Ch. 9 - Prob. 14CQCh. 9 - Prob. 15CQCh. 9 - Prob. 1RECh. 9 - Prob. 2RECh. 9 - Prob. 3RECh. 9 - Prob. 4RECh. 9 - Prob. 5RECh. 9 - Prob. 6RECh. 9 - Prob. 7RECh. 9 - Job satisfaction: The General Social Survey...Ch. 9 - Prob. 9RECh. 9 - Prob. 10RECh. 9 - Prob. 11RECh. 9 - Prob. 12RECh. 9 - Prob. 13RECh. 9 - Prob. 14RECh. 9 - Prob. 15RECh. 9 - Prob. 1WAICh. 9 - Prob. 2WAICh. 9 - Prob. 3WAICh. 9 - Prob. 4WAICh. 9 - Prob. 5WAICh. 9 - Prob. 6WAICh. 9 - Prob. 1CSCh. 9 - Prob. 2CSCh. 9 - Prob. 3CSCh. 9 - For some records marked with a * the record...Ch. 9 - Prob. 5CSCh. 9 - Prob. 6CSCh. 9 - Prob. 7CS
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
- Conduct the hypothesis test and provide the test statistic and the critical value, and state the conclusion. A person drilled a hole in a die and filled it with a lead weight, then proceeded to roll it 200 times. Here are the observed frequencies for the outcomes of 1, 2, 3, 4, 5, and 6, respectively: 28, 32, 46, 39, 29, 26. Use a 0.025 significance level to test the claim that the outcomes are not equally likely. Does it appear that the loaded die behaves differently than a fair die? Click here to view the chi-square distribution table. The test statistic is (Round to three decimal places as needed.) Chi-square distribution table Area to the Right of the Critical Value Degrees of Freedom 0.995 0.99 0.975 0.95 0.90 0.10 0.05 0.025 0.01 0.005 1 0.001 0.004 0.016 2.706 3.841 5.024 6.635 2 0.010 0.020 0.051 0.103 0.211 4.605 5.991 7.378 9.210 7.879 10.597 3 0.072 0.115 0.216 0.352 0.584 6.251 7.815 9.348 11.345 12.838 4 0.207 0.297 0.484 0.711 1.064 7.779 9.488 11.143 13.277 14.860 5…arrow_forwardThe online clothing retailer e-Parel is conducting a study to estimate the average size of the orders placed by visitors to its website. The project manager desires a $60 bound on the error of estimation at 90% confidence. The population standard deviation is unknown, and a “best guess” of $175 is used as the planning value for σ. Use the Distributions tool to help you answer the questions that follow. 0123 Select a Distribution The z-value for a 90% confidence interval of the population mean is . In order to satisfy the requirement of a $60 bound on the error of estimation, a sample size no smaller than is needed.arrow_forwardA 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…arrow_forward
- 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…arrow_forwardIn 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?arrow_forwardCan 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_forward
- The 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_forwardConsider 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_forward
- please solve this problem step by step and make it quick pleasearrow_forwardWHAT IS THE CORRECT ANSWER AND WHY?arrow_forwardA 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_forward
arrow_back_ios
SEE MORE QUESTIONS
arrow_forward_ios
Recommended textbooks for you
Glencoe Algebra 1, Student Edition, 9780079039897...AlgebraISBN:9780079039897Author:CarterPublisher:McGraw Hill
College Algebra (MindTap Course List)AlgebraISBN:9781305652231Author:R. David Gustafson, Jeff HughesPublisher:Cengage Learning
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
College Algebra (MindTap Course List)
Algebra
ISBN:9781305652231
Author:R. David Gustafson, Jeff Hughes
Publisher:Cengage Learning
Statistics 4.1 Introduction to Inferential Statistics; Author: Dr. Jack L. Jackson II;https://www.youtube.com/watch?v=QLo4TEvBvK4;License: Standard YouTube License, CC-BY