Statistics for Business and Economics (13th Edition)
13th Edition
ISBN: 9780134506593
Author: James T. McClave, P. George Benson, Terry Sincich
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Videos
Question
Chapter 9.5, Problem 9.72ACB
(a)
To determine
To identify: The type of experimental design.
(b)
To determine
To identify: The factors and the factor levels.
(c)
To determine
To find: The experimental unit.
(d)
To determine
To find: The dependent variable.
(e)
To determine
To interpret: There is no evidence of factor interaction.
(f)
To determine
To interpret: There is no evidence of main effect for hen age.
(e)
To determine
To interpret: There is an evidence of main effect for limestone diet.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
Game meats, including those from white-tailed deer and eastern gray squirrels, are used as food by families, hunters, and other individuals for health, cultural, or personal reasons. A study by David Holben (A-1) assessed the selenium content of meat from free-roaming white-tailed deer (venison) and gray squirrel (squirrel) obtained from a low selenium region of the United States. These selenium content values were also compared to those of beef produced within and outside the same region. We want to know if the selenium levels are different among the four meat groups
Peter Boag, studied the inheritance of beak depth in Galapagos finches by looking at the relationship between parent beak depth (in mm) and that of their offspring. He collected two sets of parent offspring data, once in 1976 and again in 1978. For both years he followed birds to determine which pairs belonged to which nests. Most of the parents had been previously captured so their beak depths were known. He then captured the offspring when they fledged and measured their beak depth. He calculated the "midparent" beak depth (the average beak depth of the two parents) and then compared that to beak depth of their offspring.
Use regression analysis to estimate heritability for the trait beak depth from the Galapagos finches data in the above table.
Among the literature on quitting smoking are data detailing the relative successfulness of people of different ages in quitting smoking. A study of 400
adults who began various smoking-cessation programs produced the data in the table below. In the table, each participant is classified according to two
variables: length of their smoking cessation period ("Less than two weeks", "Between two weeks and one year", or "At least one year") and age ("21-34",
or "35 and over"). In the table, "less than two weeks" means that the individual returned to smoking within two weeks of beginning the program;
"between two weeks and one year" means that the individual lasted the first two weeks without smoking but retuned to smoking within a year; and "at
least one year" means that the individual has not smoked for at least a year since beginning the program.
The table is a contingency table whose cells contain the respective observed frequencies of classifications of the 400 smokers. In addition, three…
Chapter 9 Solutions
Statistics for Business and Economics (13th Edition)
Ch. 9.1 - What are the treatments for a designed experiment...Ch. 9.1 - What are the treatments for a designed experiment...Ch. 9.1 - What is the difference between an observational...Ch. 9.1 - What are the experimental units on which each of...Ch. 9.1 - Identifying the type of experiment. Brief...Ch. 9.1 - Drafting NFL quarterbacks. Refer to the Journal of...Ch. 9.1 - Corporate sustainability and firm characteristics....Ch. 9.1 - Prob. 9.8ACBCh. 9.1 - Can money spent on gifts buy love? Refer to the...Ch. 9.1 - Value perceptions of consumers. Refer to the...
Ch. 9.1 - Value perceptions of consumers (contd). Refer to...Ch. 9.1 - Reducing stress in livestock transported to...Ch. 9.1 - Mixed gender decision-making groups. In business,...Ch. 9.1 - Testing a new pain-reliever tablet. Paracetamol is...Ch. 9.2 - Use Tables V, VI, VII, and VIII in Appendix D to...Ch. 9.2 - Find the following probabilities: a. P (F 3.48)...Ch. 9.2 - Consider dot plots 1 and 2 shown below. Assume...Ch. 9.2 - Refer to Exercise 9.17. Conduct a two-sample...Ch. 9.2 - Refer to Exercises 9.17 and 9.18. Complete the...Ch. 9.2 - A partially completed ANOVA table for a completely...Ch. 9.2 - The data in the next table resulted from an...Ch. 9.2 - Prob. 9.22ACBCh. 9.2 - Prob. 9.23ACBCh. 9.2 - Prob. 9.24ACBCh. 9.2 - Prob. 9.25ACBCh. 9.2 - Making high-stakes insurance decisions. The...Ch. 9.2 - Contingent valuation of homes in contaminated...Ch. 9.2 - Study of recall of TV commercials. Do TV shows...Ch. 9.2 - Do the media influence your attitude toward...Ch. 9.2 - Homework assistance for accounting students. Refer...Ch. 9.2 - Prob. 9.31ACICh. 9.2 - Is honey a cough remedy? Pediatric researchers...Ch. 9.2 - Prob. 9.33ACICh. 9.2 - Banning controversial sports team sponsors....Ch. 9.3 - Consider a completely randomized design with k...Ch. 9.3 - Prob. 9.36LMCh. 9.3 - Prob. 9.37LMCh. 9.3 - Prob. 9.38LMCh. 9.3 - Prob. 9.39LMCh. 9.3 - Prob. 9.40ACBCh. 9.3 - Evaluation of flexography printing plates. Refer...Ch. 9.3 - Guilt in decision making. The effect of guilt...Ch. 9.3 - Prob. 9.43ACBCh. 9.3 - Prob. 9.44ACBCh. 9.3 - Prob. 9.45ACICh. 9.3 - Study of recall of TV commercials. Refer to the...Ch. 9.3 - Prob. 9.47ACICh. 9.3 - Prob. 9.48ACICh. 9.3 - Prob. 9.49ACICh. 9.4 - A randomized block design yielded the following...Ch. 9.4 - Prob. 9.51LMCh. 9.4 - A randomized block design was used to compare the...Ch. 9.4 - Prob. 9.53LMCh. 9.4 - Prob. 9.54ACBCh. 9.4 - Peer mentor training at a firm. Peer mentoring...Ch. 9.4 - Prob. 9.56ACBCh. 9.4 - Interactive video games and physical fitness. Wii...Ch. 9.4 - Prob. 9.58ACBCh. 9.4 - A new method of evaluating health care research...Ch. 9.4 - Prob. 9.60ACICh. 9.4 - Prob. 9.61ACICh. 9.4 - Stress in cows prior to slaughter. What is the...Ch. 9.4 - Anticorrosive behavior of steel coated with epoxy....Ch. 9.5 - Suppose you conduct a 4 3 factorial experiment....Ch. 9.5 - Prob. 9.65LMCh. 9.5 - The partially complete ANOVA table given next is...Ch. 9.5 - Prob. 9.67LMCh. 9.5 - The next table gives data for a 2 2 factorial...Ch. 9.5 - Suppose a 3 3 factorial experiment is conducted...Ch. 9.5 - Dynamics of the buyer-seller relationship. An...Ch. 9.5 - Prob. 9.71ACBCh. 9.5 - Prob. 9.72ACBCh. 9.5 - Prob. 9.73ACBCh. 9.5 - Prob. 9.74ACBCh. 9.5 - Temptation in consumer choice. Are you willing to...Ch. 9.5 - Commercial eggs produced from different housing...Ch. 9.5 - Prob. 9.77ACICh. 9.5 - Eyewitnesses and mugshots. Criminologists...Ch. 9.5 - Impact of flavor name on consumer choice. Do...Ch. 9 - What is the difference between a one-way ANOVA and...Ch. 9 - Explain the difference between an experiment that...Ch. 9 - What are the treatments in a two-factor...Ch. 9 - Why does the experimentwise error rate of a...Ch. 9 - A completely randomized design is used to compare...Ch. 9 - An experiment employing a randomized block design...Ch. 9 - The following table shows a partially completed...Ch. 9 - Prob. 9.89ACBCh. 9 - Prob. 9.90ACBCh. 9 - Impact of paper color on exam scores. A study...Ch. 9 - Study of mutual fund performance. Mutual funds are...Ch. 9 - Study of mutual fund performance. Refer to...Ch. 9 - Prob. 9.94ACBCh. 9 - Prob. 9.95ACBCh. 9 - Prob. 9.96ACBCh. 9 - Bakers vs. brewers yeast. The Electronic Journal...Ch. 9 - A managerial decision problem. A direct-mail...Ch. 9 - Ethics of downsizing. A major strategic...Ch. 9 - Absentee rates at a jeans plant. A plant that...Ch. 9 - Effectiveness of sales closing techniques....Ch. 9 - Prob. 9.103ACICh. 9 - Prob. 9.104ACICh. 9 - Managers trust and job-related tension. Research...Ch. 9 - Testing the effectiveness of supermarket sales...Ch. 9 - Prob. 9.107ACICh. 9 - Prob. 9.108ACICh. 9 - Pollutants at a housing development. Polycyclic...Ch. 9 - Explain why both of the situations n Activity 8.1...
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
- Among the literature on quitting smoking are data detailing the relative successfulness of people of different ages in quitting smoking. A study of 400 adults who began various smoking-cessation programs produced the data in the table below. In the table, each participant is classified according to two variables: length of their smoking cessation period ("Less than two weeks", "Between two weeks and one year", or "At least one year") and age ("21-34", or "35 and over"). In the table, "less than two weeks" means that the individual returned to smoking within two weeks of beginning the program; "between two weeks and one year" means that the individual lasted the first two weeks without smoking but retuned to smoking within a year; and "at least one year" means that the individual has not smoked for at least a year since beginning the program. The table is a contingency table whose cells contain the respective observed frequencies of classifications of the 400 smokers. In addition, three…arrow_forwardRock Sparrows. Rock Sparrows breeding in northern Italy are the subject of a long-term ecology and conservation study due to their wide variety of breeding patterns. Both males and females have a yellow patch on their breasts that is thought to play a significant role in their sexual behavior. A. Pilastro et al. conducted an experiment in which they increased or reduced the size of a female’s breast patch by dying feathers at the edge of a patch and then observed several characteristics of the behavior of the male. Their results were published in the paper “Male Rock Sparrows Adjust Their Breeding Strategy According to Female Ornamentation: Parental or Mating Investment?” (Animal Behaviour,Vol. 66, Issue 2, pp. 265–271). Eight mating pairs were observed in each of three groups: a reduced-patch-size group, a control group, and an enlarged-patch-size group. The data on the WeissStats site, based on the results reported by the researchers, give the number of minutes per hour that males…arrow_forwardAbsenteeism: Absenteeism can be a serious employment problem. It is estimated that absenteeism reduces potential output by more than 10%. Two economists launched a research project to learn more about the problem. They randomly selected 100 organizations to participate in a 1-year study. For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism. Now let us build a model to predict absenteeism based on key independent variables available in this dataset; wage, PctPT, PctU, Av Shift and U/MRel. Correlation matrix is provided below. Why are the variables AvShift and U/MRel excluded from this correlation matrix? Which variable in the matrix is likely to provide the best simple linear regression model and why? Does the correlation matrix show any evidence of collinearity? Explain. Data:…arrow_forward
- Absenteeism: Absenteeism can be a serious employment problem. It is estimated that absenteeism reduces potential output by more than 10%. Two economists launched a research project to learn more about the problem. They randomly selected 100 organizations to participate in a 1-year study. For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism. Now let us build a model to predict absenteeism based on key independent variables available in this dataset; wage, PctPT, PctU, Av Shift and U/MRel The following down below is the correlation matrix between absenteeism and potential independent variables. Why are the variables AvShift and U/MRel excluded from this correlation matrix? Which variable in the matrix is likely to provide the best simple linear regression model and why? Does the…arrow_forwardAbsenteeism: Absenteeism can be a serious employment problem. It is estimated that absenteeism reduces potential output by more than 10%. Two economists launched a research project to learn more about the problem. They randomly selected 100 organizations to participate in a 1-year study. For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism. Management’s goal here is to analyze the data and determine which factors may be helpful in predicting absenteeism. Perform a two-sample t-test analysis to determine if mean absenteeism is different between organizations which have a good Union management and those that do not. I have provided the F-test for two variances below: Copy and paste the Two sample t-test output below AND provide a clear conclusion supported by key statistics in the output about how absenteeism is affected by the Union Management Relationship. (I just need to know how to perform the two…arrow_forwardAn important issue is whether there are racial differences in hypertension among children. We define hypertension as being above the 95th percentile for either systolic blood pressure (SBP) or diastolic blood pressure (DBP) among children of the same age, height, and sex. Since some of the children were observed at multiple visits, a GEE model was run of hypertension on ethnic group. There were three ethnic groups considered: Caucasian, African American, and Hispanic. One issue is that BMI, which may vary among ethnic groups, is positively related to hypertension. Hence, a logistic regression model was run, as shown in Table 13.55. 13.89 What is the estimated OR for hypertension comparing Hispanic boys vs. Caucasian boys based on the results in Table 13.55? (Call this OR2 .) Provide a 95% CI for this estimate. 13.90 Suppose the average BMI of Hispanic boys is higher than that for Caucasian boys. Is BMI a confounder of the association between ethnic group and hypertension? If so, is it…arrow_forward
- An important issue is whether there are racial differences in hypertension among children. We define hypertension as being above the 95th percentile for either systolic blood pressure (SBP) or diastolic blood pressure (DBP) among children of the same age, height, and sex. Since some of the children were observed at multiple visits, a GEE model was run of hypertension on ethnic group. There were three ethnic groups considered: Caucasian, African American, and Hispanic. The results among boys are given in Table 13.54. TABLE 13.54 Relationship between hypertension and ethnic group among 27,009 boys in the Pediatric Task Force Data Variable Regression Coefficient SE Intercept -2.07 0.026 African American 0.049 0.041 Hispanic 0.328 0.059 What is the estimated OR for hypertension comparing Hispanic boys vs. Caucasian boys? (Call this OR1.) What is a 95% CI for this estimate?arrow_forwardCompare the two separate scatterplots. In particular, how do the associtation compare between women with pets vs. women without pets? Does one group have more variation in systolic blood pressure than the other? If so, for which group? Does systolic blood pressure seem higher for common ages between the two groups? If so, for which group?arrow_forwardEarly life corresponds to the first bacterial colonization of the digestive tract, creating a microbiome thought to play an important role in human development. What might be the effect of early exposure to antibiotics on children's development? One study followed 11,532 full-term babies all born in the county of Avon, United Kingdom, during 1991 and 1992. Exposures to antibiotics during infancy were recorded, along with measures of body mass at regular intervals over several years. The researchers found that antibiotic exposure during the first six months of life was associated with increased body mass later in childhood.arrow_forward
- Researchers studied 208 infants whose brains were temporarily deprived of oxygen due to complications at birth. When researchers detected oxygen deprivation, they randomly assigned babies to either usual care or to a whole-body cooling group. The goal was to see whether reducing body temperature for three days after birth increased the rate of survival without brain damage. What is the explanatory variable? A. Survival without brain damage B.Infants whose brains are temporarily deprived of oxygen C. Usual care or whole-body coolingarrow_forwardBeryllium is an extremely lightweight metal that is used in many industries, such as aerospace and electronics. Long-term exposure to beryllium can cause people to become sensitized. Once an individual is sensitized, continued exposure can result in chronic beryllium disease, which involves scarring of the lungs. In a study of the effects of exposure to beryllium, workers were categorized by their duration of exposure (in years) and by their disease status (diseased, sensitized, or normal). The results were as follows: Duration of Exposure <1 1 to <5 ≥5 Diseased 14 13 18 Sensitized 11 20 15 Normal 78 140 209 Test the hypothesis of independence. Use the a=0.10 level of significance and the P-value method with the TI-84 Plus calculator. What do you conclude? State the null and alternate hypotheses.arrow_forwardStudy 1: A study of 300 high school students was done. Half of them were instructed to drink soda every day. The other half was instructed to not drink soda at all. After one month, the half that were drinking soda had gained an average of five pounds more than the half that did not drink soda. e. How could this study be changed to make it a double-blind study?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
Big Ideas Math A Bridge To Success Algebra 1: Stu...AlgebraISBN:9781680331141Author:HOUGHTON MIFFLIN HARCOURTPublisher:Houghton Mifflin Harcourt
Glencoe Algebra 1, Student Edition, 9780079039897...
Algebra
ISBN:9780079039897
Author:Carter
Publisher:McGraw Hill
Big Ideas Math A Bridge To Success Algebra 1: Stu...
Algebra
ISBN:9781680331141
Author:HOUGHTON MIFFLIN HARCOURT
Publisher:Houghton Mifflin Harcourt
Introduction to experimental design and analysis of variance (ANOVA); Author: Dr. Bharatendra Rai;https://www.youtube.com/watch?v=vSFo1MwLoxU;License: Standard YouTube License, CC-BY