BASIC BUSINESS STATISTICS-STUD.SOLN.MAN
14th Edition
ISBN: 9780134685045
Author: BERENSON
Publisher: PEARSON
expand_more
expand_more
format_list_bulleted
Videos
Textbook Question
Chapter 11, Problem 39PS
Suppose that, when setting up the experiment in Problem 11.38, the operations manager is able to study the effect of side-to-side aspect in addition to air-jet pressure. Thus, instead of the one-factor completely randomized design in Problem 11.38, a two-factor factorial design was used, with first factor, side-to-side aspect, having two levels (nozzle and opposite) and the second factor, air-jet pressure, having three levels (30 psi, 40 psi, and 50 psi). A sample of 18 yarns is randomly assigned, 3 to each of the 6-side-to-side aspect and pressure level combinations. The breaking-strength, stored in yarn, are as follows:
At the 0.05 level of significance.
a. is there an interaction between side-to-side aspect and air-jet pressure?
b. is there an effect due to side-to-side aspect?
c. is there an effect due to air-jet pressure?
d. Plot the mean yarn breaking strength for each level to side-to-side aspect for each level of air-jet pressure.
e. if appropriate, use the Turkey procedure to study difference among the air-jet pressures.
f. On the basis of the results of (a) through (e), what conclusions can you reach concerning yarn breaking strength? Discuss.
g. Compare your results in (a) through (f) with those from the completely randomized design in Problem 11.38. Discuss fully.
Expert Solution & Answer
Want to see the full answer?
Check out a sample textbook solution
Students have asked these similar questions
A snow shovel manufacturer is considering a new shovel with small holes punched in it, thought to reduce energy expenditure of the user. The data in the Problem 4 tab provides information for 13 workers using both the conventional shovel and the perforated shovel. Does the data suggest that the energy expenditure of the perforated shovel is lower than that of the conventional shovel? Does the data suggest that the variance of the two shovels is different?
An American Automobile Association (AAA) study investigated the question of whether car owners or truck owners were more likely to change their own blown tire. The situation referred to in the study stated the following: “If you blew a tire on a trip, would you change the tire yourself?” A sample representative of the data used by AAA showed 663 of 818 car owners said that they would change the tire themselves while 541 of 733 truck owners said they would change the tire themselves.
x
n
car owners
663
818
truck owner
541
733
The AAA research hypothesis was that truck owners would be more likely to change their tire themselves. Formulate the null and alternative hypotheses for this study. Let car owners be population
What is the percentage of car owners who indicated that they would change their own tire?
A researcher is examining the effects of weight status and hunger on eating behavior. In this 2 X 2 factor study, participants (obese vs. normal weight) are randomly assigned to participate in one of two hunger status conditions (full stomach vs. empty stomach). Then during the study, participants are presented with crackers to eat. The researcher is looking to see if weight status, hunger status and an interaction between the two influence eating behavior. Considering this data, what would be the statistical and null hypothesis for the main effect for weight status?
Select one:
a. H1: μobese = μnormal weight Ho: μobese ≠ μnormal weight
b. H1: μfull stomach ≠ μempty stomach Ho: μfull stomach = μempty stomach
c. H1: μfull stomach = μempty stomach, Ho: μfull stomach ≠ μempty stomach
d. H1: μobese ≠ μnormal weight Ho: μobese = μnormal weight
Chapter 11 Solutions
BASIC BUSINESS STATISTICS-STUD.SOLN.MAN
Ch. 11 - An experiment has a single factor with five groups...Ch. 11 - You are working with the same experiment as in...Ch. 11 - You are working with the same experiment as in...Ch. 11 - Consider an experiment with three groups, with...Ch. 11 - Prob. 5PSCh. 11 - You are working the same experiment as in Problem...Ch. 11 - One of the steps involved in the processing of...Ch. 11 - The more costly and time-consuming it is to export...Ch. 11 - A hospital conducted a study of the waiting time...Ch. 11 - A manufacturer of pens has hired an advertising...
Ch. 11 - Prob. 11PSCh. 11 - Brand valuations are critical to CEOs, financial...Ch. 11 - A pet food company has a business objective of...Ch. 11 - A transportation strategist wanted to compare the...Ch. 11 - Consider a two-factor factorial design with three...Ch. 11 - Prob. 16PSCh. 11 - Prob. 17PSCh. 11 - Prob. 18PSCh. 11 - Given a two-way ANOVA with two levels for factor A...Ch. 11 - Given a two-factor factorial experiment and the...Ch. 11 - Given the results from Problem 11.20, a. at the...Ch. 11 - An experiment was conducted to study the extrusion...Ch. 11 - Prob. 23PSCh. 11 - Prob. 24PSCh. 11 - A glass manufacturing company wanted to...Ch. 11 - Prob. 26PSCh. 11 - Prob. 27PSCh. 11 - Prob. 28PSCh. 11 - Prob. 29PSCh. 11 - Prob. 30PSCh. 11 - Prob. 31PSCh. 11 - Prob. 32PSCh. 11 - Prob. 33PSCh. 11 - Prob. 34PSCh. 11 - Prob. 35PSCh. 11 - Prob. 36PSCh. 11 - Prob. 37PSCh. 11 - Prob. 38PSCh. 11 - Suppose that, when setting up the experiment in...Ch. 11 - A hotel wanted to develop a new system for...Ch. 11 - Refer to the room service experiment in Problem...Ch. 11 - Prob. 42PS
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
- Suppose we are interested in comparing the proportion of male students who smoke to the proportion of female students who smoke. We have a random sample of 150 students (60 males and 90 females) that includes two variables: Smoke = "yes" or "no" and Gender = "female (F)" or "male (M)". The two-way table below summarizes the results. Smoke = Yes Smoke = No Sample Size 60 90 Gender = M Gender = F Reference: 3-15-No Tech 9 9 51 81 Describe how to use the data to construct a bootstrap distribution. What value should be recorded for each of the bootstrap samples.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_forwardNeed help.arrow_forward
- Mars, Inc. claims that 20% of its M & M plain candies out of a sample of 100 are blue. Does your data (your individual package) agree, why or why not?arrow_forwardA depression study reports the following findings. There were no significant differences on depression symptoms across ethnic groups (Asian, latino, caucasian, African american ) or across treatment location.(home vs. clinic). Which of the following statements about the design is TRUE. 1. This would be considered a 2×2 ANOVA 2. There are 4 independent variables included here. 3. The ethnicity variable has 4 level and the treatment location variable has 2 levels. 4.There's a total of 4 separate group in this study.arrow_forwardPlease help. Thanks! Experiment 5: What is the relationship between soft drinks and obesity?The director of an obesity clinic in a large northwestern city believes that drinking soft drinks contributes to obesity in children. To determine whether a relationship exists between these two variables, she conducts the following pilot study. Eight 12-year-old male volunteers are randomly selected from children attending a local junior high school. Parents of the children are asked to monitor the number of soft drinks consumed by their child over a 1-week period. The children are weighed at the end of the week and their weights converted into body mass index (BMI) values. The BMI is a common index used to measure obesity and takes into account both height and weight. An individual is considered obese if they have a BMI value 30. The following data are collected: Please provide needs to have the following information: Hypotheses: both alternative and the null . Mean and standard deviation of…arrow_forward
- A researcher is comparing the occurrence of nausea as a side-effect in two brands of medication: Brand A and Brand B. For a random sample of 150 Brand A users, 66 experienced nausea as a side-effect. For a random sample of 200 Brand B users, 118 experienced nausea as a side-effect. Can the researcher conclude that the proportion of all Brand A users who experience nausea as a side-effect is different from the proportion of all Brand B users who experience nausea as a side-effect. For the hypothesis testing scenario above, the researcher concludes that the two proportions are different at the 0.01 significance level. Compute the 99% confidence interval to estimate the difference.arrow_forwardA health officer is trying to study the malaria situation of Zambia. From the records of seasonal blood survey (SBS) results he came to understand that the proportion of people having malaria in Zambia was 3.8% in 2015. The size of the sample considered was 15,000. He also realized that during the year that followed (2016), blood samples were taken from 10,000 randomly selected persons. The result of the 2016 seasonal blood survey showed that 200 persons were positive for malaria. Help the Health officer in testing the hypothesis that the malaria situation of 2016 did not show any significant difference from that of 2015 (take the 5% level of significance).arrow_forwardPlease answer questions a, b and c with working.arrow_forward
- A company wishes to evaluate the effect of package design on one of its products, a certain brand of cereal. The four package designs are to be tested in different stores throughout a large city. There are 20 stores available for the study. The amount of cereal sold is known to vary depending on the size of the stores. The 20 stores are divided into five groups of four stores each by size. The following sales figures ($1000s) were obtained after a 1-month period. Stores Design A Design B Design C Design D 1 40 33 37 38 2 45 27 32 40 3 43 31 30 41 4 44 38 40 42 5 56 45 49 42 Enter the above data into a suitable software and then conduct an analysis of variance without blocking to test whether there is evidence of a significant difference in mean sales of different package designs. Use alpha = 0.01. What are the mean squares for error? Please provide your answer to the nearest two decimal places.arrow_forwardA company wishes to evaluate the effect of package design on one of its products, a certain brand of cereal. The four package designs are to be tested in different stores throughout a large city. There are 20 stores available for the study. The amount of cereal sold is known to vary depending on the size of the stores. The 20 stores are divided into five groups of four stores each by size. The following sales figures ($1000s) were obtained after a 1-month period. Stores Design A Design B Design C Design D 1 40 33 37 38 2 45 27 32 40 3 43 31 30 41 4 44 38 40 42 5 56 45 49 42 Enter the above data into a suitable software and then conduct an analysis of variance without blocking to test whether there is evidence of a significant difference in mean sales of different package designs. Use alpha=0.01. What is the conclusion for the null hypothesis that all treatment means are equal? O Do not reject HO. There is sufficient evidence to conclude that the average sales for all stores are not…arrow_forwardA company wishes to evaluate the effect of package design on one of its products, a certain brand of cereal. The four package designs are to be tested in different stores throughout a large city. There are 20 stores available for the study. The amount of cereal sold is known to vary depending on the size of the stores. The 20 stores are divided into five groups of four stores each by size. The following sales figures ($1000s) were obtained after a 1-month period. Stores Design A Design B Design C Design D 1 40 33 37 38 2 45 27 32 40 3 43 31 30 41 4 44 38 40 42 5 56 45 49 42 Enter the above data into a suitable software and then conduct an analysis of variance with blocking (analyze this data as a complete block design) to test further whether there is evidence of a significant difference in mean sales of different package designs. Use alpha = 0.01. What are the degrees of freedom for error?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
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