Introductory Statistics (10th Edition)
10th Edition
ISBN: 9780321989178
Author: Neil A. Weiss
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Question
Chapter 16, Problem 30RP
To determine
Whether presuming the assumptions of normal populations and equal population standard deviations are met is reasonable or not.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Question 11. Healthcare workers are at risk of being exposed to blood-borne pathogens through needle-stick and other sharp object injuries. The pathogens of primary concern are the human immunodeficiency virus, hepatitis B virus, and hepatitis C virus. When a needle-stick injury occurs, workers report the incident to their supervisor. This information is forwarded to county health departments and ultimately to the Centers for Disease Control and Prevention (CDC). A CDC researcher uses these data to compare needle-stick injuries in community hospitals and tertiary-care hospitals. Is this a paired or independent comparison?
A. Paired comparison because community hospitals and tertiary-care hospitals are related.
B. Independent comparison because data come from unrelated community hospitals and tertiary-care hospitals. No pair-matching is involved
The mean ±1 sd of ln [calcium intake (mg)] among 25females, 12 to 14 years of age, below the poverty level is6.56 ± 0.64. Similarly, the mean ± 1 sd of ln [calcium intake(mg)] among 40 females, 12 to 14 years of age, above thepoverty level is 6.80 ± 0.76.
A.What is the appropriate procedure to test for a significant difference in means between the two groups?B. Implement the procedure in Problem 8.3 using theD.critical-value method.C. What is the p-value corresponding to your answer toProblem 8.4? Compute a 95% CI for the difference in meansbetween the two groups.
Caffeine is a common drug that affects the central nervous system. Among Problem 3.4 the issues involved with caffeine are how does it get from the blood to the brain, and does the presence of caffeine alter the ability of similar compounds to move across the blood-brain barrier? In this experiment, 15 lab rats were randomly assigned to one of 3 treatments (0, 5, and 10 mM of caffeine). Each treatment consisted of an arterial injection of C14-labeled adenine together with a concentration of caffeine (0 to 50 mM). Shortly after injection, the concentration of labeled adenine in the rat brains is measured as the response (data from McCall, Millington, and Wurtman 1982).
0 mM
5 mM
10 mM
5.74
5.92
3.05
6.9
3.66
1.94
3.86
4.62
1.23
6.94
3.47
3.45
6.49
1.33
1.61
What is the most appropriate test to determine if the three caffeine concentrations resulted to different mean adenine concentration of silage at 5% level of significance? Justify…
Chapter 16 Solutions
Introductory Statistics (10th Edition)
Ch. 16.1 - How do we identify an F-distribution and its...Ch. 16.1 - How many degrees of freedom does an F-curve have?...Ch. 16.1 - What symbol is used to denote the F-value having...Ch. 16.1 - Using the F-notation, identify the F-value having...Ch. 16.1 - An F-curve has df = (12, 7). What is the number of...Ch. 16.1 - An F-curve has df = (8, 19). What is the number of...Ch. 16.1 - In Exercises 16.716.10, use Table VIII in Appendix...Ch. 16.1 - Prob. 8ECh. 16.1 - Prob. 9ECh. 16.1 - Prob. 10E
Ch. 16.2 - One-way ANOVA is a procedure for comparing the...Ch. 16.2 - If we define s=MSE, of which parameter is s an...Ch. 16.2 - Explain the reason for the word variance in the...Ch. 16.2 - For a one-way ANOVA test, suppose that, in...Ch. 16.2 - Regarding one-way ANOVA, fill in the blanks in...Ch. 16.2 - Regarding one-way ANOVA, fill in the blanks in...Ch. 16.2 - Regarding one-way ANOVA, fill in the blanks in...Ch. 16.2 - Explain the logic behind one-way ANOVA.Ch. 16.2 - What does the term one-way signify in the phrase...Ch. 16.2 - Figure 16.6 shows side-by-side boxplots of...Ch. 16.2 - Figure 16.7 shows side-by-side boxplots of...Ch. 16.2 - Discuss two methods for checking the assumptions...Ch. 16.2 - In one-way ANOVA, what is the residual of an...Ch. 16.2 - In Exercises 16.24-16.29, we have provided data...Ch. 16.2 - In Exercises 16.24-16.29. we have provided data...Ch. 16.2 - In Exercises 16.24-16.29, we have provided data...Ch. 16.2 - In Exercises 16.24-16.29, we have provided data...Ch. 16.2 - In Exercises 16.24-16.29, we have provided data...Ch. 16.2 - In Exercises 16.24-16.29, we have provided data...Ch. 16.2 - Show that, for two populations, MSE=sp2, where is...Ch. 16.2 - Suppose that the variable under consideration is...Ch. 16.3 - Suppose that a one-way ANOVA is being performed to...Ch. 16.3 - We stated earlier that a one-way ANOVA test is...Ch. 16.3 - Following are the notations for the three sums of...Ch. 16.3 - State the one-way ANOVA identity, and interpret...Ch. 16.3 - True or false: If you know any two of the three...Ch. 16.3 - In each part, specify what type of analysis you...Ch. 16.3 - Prob. 38ECh. 16.3 - In Exercises 16.38-16.41, fill in the missing...Ch. 16.3 - In Exercises 16.38-16.41 fill in the missing...Ch. 16.3 - Prob. 41ECh. 16.3 - In Exercises 16.42-16.47. wt provide data from...Ch. 16.3 - In Exercises 16.42-16.47, we provide data from...Ch. 16.3 - Prob. 44ECh. 16.3 - Prob. 45ECh. 16.3 - Prob. 46ECh. 16.3 - Prob. 47ECh. 16.3 - Prob. 48ECh. 16.3 - Copepod Cuisine. Copepods are tiny crustaceans...Ch. 16.3 - In Exercises 16.48-16.53, apply Procedure 16.1 on...Ch. 16.3 - Staph Infections. In the article Using EDE, ANOVA...Ch. 16.3 - Prob. 52ECh. 16.3 - Prob. 53ECh. 16.3 - Prob. 54ECh. 16.3 - Prob. 55ECh. 16.3 - In Exercises 16.54-16.59, use the technology of...Ch. 16.3 - Prob. 57ECh. 16.3 - In Exercises 16.54-16.59, use. the technology of...Ch. 16.3 - Prob. 59ECh. 16.3 - Prob. 60ECh. 16.3 - Prob. 61ECh. 16.3 - In Exercises 16.60-16.63, refer to the discussion...Ch. 16.3 - Starting Salaries. The National Association of...Ch. 16.3 - Working with Large Data Sets In Exercises...Ch. 16.3 - Working with Large Data Sets In Exercises...Ch. 16.3 - In Exercises 16.64-16.72, use the technology of...Ch. 16.3 - In Exercises 16.6416.72, use the technology of...Ch. 16.3 - In Exercises 16.64-16.72, use the technology of...Ch. 16.3 - In Exercises 16.64-16.72, use the technology of...Ch. 16.3 - Prob. 70ECh. 16.3 - Prob. 71ECh. 16.3 - Prob. 72ECh. 16.3 - Prob. 73ECh. 16.3 - Prob. 74ECh. 16.3 - Prob. 75ECh. 16.4 - What is the purpose of doing a multiple...Ch. 16.4 - Fill in the blank: If a confidence interval for...Ch. 16.4 - Explain the difference between the family...Ch. 16.4 - Regarding family and individual confidence levels,...Ch. 16.4 - What is the name of the distribution on which the...Ch. 16.4 - The parameter v for the q-curve in a Tukey...Ch. 16.4 - Explain the essential difference between obtaining...Ch. 16.4 - Determine the following for a q-curve with...Ch. 16.4 - Determine the following for a q-curve with...Ch. 16.4 - Find the following for a q-curve with parameters K...Ch. 16.4 - Find the following for a q-curve with parameters K...Ch. 16.4 - Suppose that you conduct a one-way ANOVA test and...Ch. 16.4 - In Exercises 16.88-16.93, we repeal the data from...Ch. 16.4 - In Exercises 16.88-16.93, we repeat the data from...Ch. 16.4 - In Exercises 16.88-16.93, we repeat the data from...Ch. 16.4 - In Exercises 16.88-16.93, we repeat the data from...Ch. 16.4 - In Exercises 16.88-16.93, we repeat the data from...Ch. 16.4 - Prob. 93ECh. 16.4 - Prob. 94ECh. 16.4 - In Exercises 16.94-16.99, use Procedure 16.2 on...Ch. 16.4 - In Exercises 16.94-16.99, use Procedure 16.2 on...Ch. 16.4 - In Exercises 16.94-16.99, use Procedure 16.2 on...Ch. 16.4 - Prob. 98ECh. 16.4 - Prob. 99ECh. 16.4 - Prob. 100ECh. 16.4 - Prob. 101ECh. 16.4 - In Exercises 16.100-16.105, use the technology of...Ch. 16.4 - Prob. 103ECh. 16.4 - Prob. 104ECh. 16.4 - Prob. 105ECh. 16.4 - In Exercises 16.106-16.109, use Procedure 10.2 on...Ch. 16.4 - Prob. 107ECh. 16.4 - Prob. 108ECh. 16.4 - Prob. 109ECh. 16.4 - Prob. 110ECh. 16.4 - In Exercises 16.110-16.118, we repeat information...Ch. 16.4 - Prob. 112ECh. 16.4 - Prob. 113ECh. 16.4 - Prob. 114ECh. 16.4 - In Exercises 16.110-16.118, we repeat information...Ch. 16.4 - Prob. 116ECh. 16.4 - Prob. 117ECh. 16.4 - In Exercises 16.110-16.16.118, we repeat...Ch. 16.4 - Explain why the family confidence level, not the...Ch. 16.4 - Prob. 120ECh. 16.4 - Energy Consumption. Apply Table 16.11 on page 723...Ch. 16.5 - Prob. 122ECh. 16.5 - Prob. 123ECh. 16.5 - Prob. 124ECh. 16.5 - Prob. 125ECh. 16.5 - Prob. 126ECh. 16.5 - The measure of total variation of all the ranks is...Ch. 16.5 - Regarding a Kruskal-Wallis test, fill in the...Ch. 16.5 - Prob. 129ECh. 16.5 - Prob. 130ECh. 16.5 - In each of Exercises 16.130-16.133, suppose that...Ch. 16.5 - Prob. 132ECh. 16.5 - Prob. 133ECh. 16.5 - Prob. 134ECh. 16.5 - Prob. 135ECh. 16.5 - Prob. 136ECh. 16.5 - Prob. 137ECh. 16.5 - Prob. 138ECh. 16.5 - Prob. 139ECh. 16.5 - Prob. 140ECh. 16.5 - Prob. 141ECh. 16.5 - Prob. 142ECh. 16.5 - Prob. 143ECh. 16.5 - Prob. 144ECh. 16.5 - In Exercises 16.144-16.149, perform a...Ch. 16.5 - In Exercises 16.144-16.149, perform a...Ch. 16.5 - In Exercises 16.144-16.149, perform a...Ch. 16.5 - Prob. 148ECh. 16.5 - Prob. 149ECh. 16.5 - Prob. 150ECh. 16.5 - Prob. 151ECh. 16.5 - Prob. 152ECh. 16.5 - Prob. 153ECh. 16.5 - Prob. 154ECh. 16.5 - Prob. 155ECh. 16.5 - Prob. 156ECh. 16.5 - Prob. 157ECh. 16.5 - Prob. 158ECh. 16.5 - Prob. 159ECh. 16.5 - Prob. 160ECh. 16.5 - Prob. 161ECh. 16.5 - Prob. 162ECh. 16.5 - Prob. 163ECh. 16.5 - Prob. 164ECh. 16.5 - Prob. 165ECh. 16.5 - Prob. 166ECh. 16.5 - Prob. 167ECh. 16 - For what is one-way ANOVA used?Ch. 16 - State the four assumptions for one-way ANOVA, and...Ch. 16 - On what distribution does one-way ANOVA rely?Ch. 16 - Suppose that you want to compare the means of...Ch. 16 - Prob. 5RPCh. 16 - In one-way ANOVA, a. list and interpret the three...Ch. 16 - Prob. 7RPCh. 16 - Prob. 8RPCh. 16 - Prob. 9RPCh. 16 - Prob. 10RPCh. 16 - Prob. 11RPCh. 16 - Suppose that you want to compare the means of...Ch. 16 - Prob. 13RPCh. 16 - Prob. 14RPCh. 16 - Prob. 15RPCh. 16 - Prob. 16RPCh. 16 - In Problems 17-21, consider an F-curve with df =...Ch. 16 - Prob. 18RPCh. 16 - Prob. 19RPCh. 16 - Prob. 20RPCh. 16 - Prob. 21RPCh. 16 - Consider a q -curve with parameters 3 and 14. a....Ch. 16 - Consider the following hypothetical samples. A B C...Ch. 16 - Losses to Robbery. The Federal Bureau of...Ch. 16 - Prob. 25RPCh. 16 - Prob. 26RPCh. 16 - Prob. 27RPCh. 16 - Losses to Robbery. Refer to Problem 24. a. At the...Ch. 16 - Foot-pressure Angle. Genu valgum, commonly known...Ch. 16 - Prob. 30RPCh. 16 - Prob. 31RPCh. 16 - Prob. 32RPCh. 16 - In Problems 3234, use the technology of your...Ch. 16 - Prob. 34RPCh. 16 - Prob. 35RPCh. 16 - In Problems 3537, refer to the specified problem...Ch. 16 - Prob. 37RPCh. 16 - Recall from Chapter 1 (see page 34) that the Focus...Ch. 16 - SELF-PERCEPTION AND PHYSICAL ACTIVITY As you...
Knowledge Booster
Similar questions
- Question 02 There is a claim that drink driving has been very common in high ways. The Highway Police randomly caught 300 drivers for breath alcohol test and found that 14% of drivers have breath alcohol over the legal limit. At 4% level of significance, use the p-value approach to test the hypothesis that the percentage of drivers who are drink driving is more than 10%.arrow_forward10.56 for the two breeds of hogs in problem 10.54, test the claim that hogs of breed A tend to show less variability in weight gain than hogs of breed B. Use the F-statistic computed as a fraction with one sample variance in the numerator and the other in the denominator. State the conclusion in words, and state any assumptions required for the validity test.arrow_forwardQUESTION 12 Historically, the proportion of people who trade in their old car to a car dealer when purchasing a new car is 48%. Over the previous 6 months, in a sample of 115 new-car buyers, 46 have traded in their old car. To determine (at the 10% level of significance) whether the proportion of new-car buyers that trade in their old car has statistically significantly decreased, what can you conclude concerning the null hypothesis? Reject the null hypothesis Fail to reject the null hypothesisarrow_forward
- Question 1) Consider the following context: The nutrition and food science division of Farnsworth Pharmaceuticals is alpha testing an OTC diagnostic kit so that adults who self-report a certain food allergy can affirm their insensitivity to that food allergen. Preliminary clinical trials yielded that 25% of the volunteers who suspected they had food allergies were clinically identified as sensitive or intolerant to the food allergen; unfortunately and disappointingly, only 10% of those who tested positive in the clinic also tested positive with the kit. Furthermore, of those self-reporting adult volunteers who had a negative clinic outcome, 5% tested positive anyway with the kit. How many complete branches, from start to finish, would a tree diagram that models this context include? H Question 2) The nutrition and food science division of Farnsworth Pharmaceuticals is alpha testing an OTC diagnostic kit so that adults who self-report a certain food allergy can affirm their…arrow_forwardQUESTION 12 Historically, the proportion of people who trade in their old car to a car dealer when purchasing a new car is 48%. Over the previous 6 months, in a sample of 115 new-car buyers, 46 have traded in their old car. To determine (at the 10% level of significance) whether the proportion of new-car buyers that trade in their old car has statistically significantly decreased, what can you conclude concerning the null hypothesis?arrow_forwardThe main trial in problem 7 is conducted and involves a total of 200 patients. Patients are enrolled and randomized to receive either the experimental medication or the placebo. The data shown below is collected at the end of the study after 6 weeks on the assigned treatment. Test if there is a significant difference in the proportions of hypertensive patients between groups using a=0.05arrow_forward
- QUESTION 19 To study whether the students at a university are more or less satisfied with the current food service compared to the previous food service, a sample of 90 current students is taken and finds that 37 are satisfied with the current food service. A similar survey was taken for the previous food service in which 89 students surveyed found that 40 were satisfied with the previous food service. When testing the hypothesis (at the 5% level of significance) a higher percentage of students were satisfied with the previous food service than with the current food service, what is the test statistic? (please round your answer to 2 decimal places)arrow_forwardApplying the Concepts and SkillsUse the technology of your choice to solve Problems.Smoking and Cotinine. Smoking during pregnancy is hazardousto both the mother and baby. Passive smoking, or inhalation of second-hand smoke, is also a concern. In the article “Detection of Cotinine in Neonate Meconium as a Marker for Nicotine Exposure in Utero” (Eastern Mediterranean Health Journal, Vol. 10, No. 1/2, pp. 96–105), N. Sherif et al. studied whether activesmoking or passive-smoking mothers were passing along harmful chemicals to their babies. The level of cotinine in a newborn’s first meconium, which is the infant’s stool, is reported on the WeissStats site for independent samples of active-, passive-, and nonsmoking mothers. Cotinine levels are measured in nanograms per milliliter (ng/mL). Decide whether presuming that the assumptions of normal populations and equal population standard deviations are met is reasonable.arrow_forwardTable 10-2 A problem with a phone line that prevents a customer from receiving or making calls is upsetting to both the customer and the telecommunications company. The file “Phone” contains samples of 20 problems reported to two different offices of a telecommunications company and the time toclear these problems (in minutes) from the customers’ lines: Central Office I Time to Clear Problems (minutes) 1.48 1.75 0.78 2.85 0.52 1.60 4.15 3.97 1.48 3.10 1.02 0.53 0.93 1.60 0.80 1.05 6.32 3.93 5.45 0.97 Central Office II Time to Clear Problems (minutes) 7.55 3.75 0.10 1.10 0.60 0.52 3.30 2.10 0.58 4.02 3.75 0.65 1.92 0.60 1.53 4.23 0.08 1.48 1.65 0.72 Assuming that the population variances from both offices are not equal, is there evidence of a difference in the mean waiting time between two offices? (Use a = 0.01) ▪ You may need to download file “Phone”. Referring to Table 10-2, judging from the way the data were collected, which test would likely be most appropriate to…arrow_forward
- Table 10-2 A problem with a phone line that prevents a customer from receiving or making calls is upsetting to both the customer and the telecommunications company. The file “Phone” contains samples of 20 problems reported to two different offices of a telecommunications company and the time toclear these problems (in minutes) from the customers’ lines: Central Office I Time to Clear Problems (minutes) 1.48 1.75 0.78 2.85 0.52 1.60 4.15 3.97 1.48 3.10 1.02 0.53 0.93 1.60 0.80 1.05 6.32 3.93 5.45 0.97 Central Office II Time to Clear Problems (minutes) 7.55 3.75 0.10 1.10 0.60 0.52 3.30 2.10 0.58 4.02 3.75 0.65 1.92 0.60 1.53 4.23 0.08 1.48 1.65 0.72 Assuming that the population variances from both offices are not equal, is there evidence of a difference in the mean waiting time between two offices? (Use a = 0.01) ▪ You may need to download file “Phone”. Referring to Table 10-2, at the α = 0.05 level, the decision is Question 5 options: 1) Cannot…arrow_forwardTable 10-2 A problem with a phone line that prevents a customer from receiving or making calls is upsetting to both the customer and the telecommunications company. The file “Phone” contains samples of 20 problems reported to two different offices of a telecommunications company and the time toclear these problems (in minutes) from the customers’ lines: Central Office I Time to Clear Problems (minutes) 1.48 1.75 0.78 2.85 0.52 1.60 4.15 3.97 1.48 3.10 1.02 0.53 0.93 1.60 0.80 1.05 6.32 3.93 5.45 0.97 Central Office II Time to Clear Problems (minutes) 7.55 3.75 0.10 1.10 0.60 0.52 3.30 2.10 0.58 4.02 3.75 0.65 1.92 0.60 1.53 4.23 0.08 1.48 1.65 0.72 Assuming that the population variances from both offices are not equal, is there evidence of a difference in the mean waiting time between two offices? (Use a = 0.01) ▪ You may need to download file “Phone”. Referring to Table 10-2, the correct test statistic is Question 4 options: 1) 2.04, -2.04.…arrow_forwardProblem 2:Examine the relationship between amount of time spent studying for an exam (X) in hours andthe score that person makes on an exam (Y)X Y2 653 703 754 705 856 857 90 using spss Give the following:1. Null hypothesis2. Alternative hypothesis3. Statistical test4. Computation5. Decision6. Conclusionarrow_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