All Matches
Solution Library
Expert Answer
Textbooks
Search Textbook questions, tutors and Books
Oops, something went wrong!
Change your search query and then try again
Toggle navigation
FREE Trial
S
Books
FREE
Tutors
Study Help
Expert Questions
Accounting
General Management
Mathematics
Finance
Organizational Behaviour
Law
Physics
Operating System
Management Leadership
Sociology
Programming
Marketing
Database
Computer Network
Economics
Textbooks Solutions
Accounting
Managerial Accounting
Management Leadership
Cost Accounting
Statistics
Business Law
Corporate Finance
Finance
Economics
Auditing
Hire a Tutor
AI Study Help
New
Search
Search
Sign In
Register
study help
business
organization theory and design
Questions and Answers of
Organization Theory and Design
Extended incomplete block designs. Occasionally, the block size obeys the relationship a < k < 2a. An extended incomplete block design consists of a single replicate of each treatment in each block
Showthat the variance of the intrablock estimators { ̂ ????i}is k(a − 1)????2∕(????a2).
Verify that a BIBD with the parameters a = 8, r = 8, k = 4, and b = 16 does not exist.
Perform the interblock analysis for the design in Problem 4.47.
Perform the interblock analysis for the design in Problem 4.45.
An experimenter wishes to compare eight treatments in blocks of four runs. Find a BIBD with 14 blocks and ???? = 3.
An experimenter wishes to compare four treatments in blocks of two runs. Find a BIBD for this experiment with six blocks.
Prove that kΣa i=1 Q2i∕(????a) is the adjusted sum of squares for treatments in a BIBD.
Analyze the data in Example 4.4 using the general regression significance test.
Seven different hardwood concentrations are being studied to determine their effect on the strength of the paper produced. However, the pilot plant can only produce three runs each day. As days may
Construct a set of orthogonal contrasts for the data in Problem 4.45. Compute the sum of squares for each contrast.
An engineer is studying the mileage performance characteristics of five types of gasoline additives. In the road test he wishes to use cars as blocks; however, because of a time constraint, he must
Consider the randomized block design with one missing value in Problem 4.24. Analyze this data by using the exact analysis of the missing value problem discussed in Section 4.1.4. Compare your
Consider the data in Problems 4.28 and 4.41. Suppressing the Greek letters in problem 4.41, analyze the data using the method developed in Problem 4.37.
The yield of a chemical process was measured using five batches of raw material, five acid concentrations, five standing times (A, B, C, D, E), and five catalyst concentrations(????, ????, ????,
Suppose that in Problem 4.27 the data taken on day 5 were incorrectly analyzed and had to be discarded. Develop an appropriate analysis for the remaining data.
Discuss how you would determine the sample size for use with the Latin square design.
Designs involving several Latin squares. [See Cochran and Cox (1957), John (1971).] The p × p Latin square contains only p observations for each treatment. To obtain more replications, the
Derive the missing value formula (Equation 4.28) for the Latin square design.
Consider a p × p Latin square with rows (????i), columns(????k), and treatments (????j) fixed. Obtain least squares estimates of the model parameters ????i, ????k, and ????j.
Suppose that in Problem 4.27 the observation from batch 3 on day 4 is missing. Estimate the missing value and perform the analysis using the value.
Consider the gene expression experiment in Problem==4.17. Assume that the subjects used in this experiment are random.Estimate the block variance component.
Consider the randomized complete block design in Problem 4.16. Assume that the software projects that were used as blocks are random. Estimate the block variance component.
Consider the randomized complete block design in Problem 4.14. Assume that the trucks are random. Estimate the block variance component.
Consider the randomized complete block design in Problem 4.12. Assume that the coupons are random. Estimate the block variance component.
Consider the randomized complete block design in Problem 4.9. Assume that the days are random. Estimate the block variance component.
An industrial engineer is investigating the effect of four assembly methods (A, B, C, D) on the assembly time for a color television component. Four operators are selected for the study. Furthermore,
The effect of five different ingredients (A, B, C, D, E)on the reaction time of a chemical process is being studied.Each batch of new material is only large enough to permit five runs to be made.
An industrial engineer is conducting an experiment on eye focus time. He is interested in the effect of the distance of the object from the eye on the focus time. Four different distances are of
Two missing values in a randomized block. Suppose that in Problem 4.8 the observations for chemical type 2 and bolt 3 and chemical type 4 and bolt 4 are missing.(a) Analyze the design by iteratively
Consider the hardness testing experiment in Problem==4.12. Suppose that the observation for tip 2 in coupon 3 is missing. Analyze the problem by estimating the missing value.
Suppose that the observation for chemical type 2 and bolt 3 is missing in Problem 4.8. Analyze the problem by estimating the missing value. Perform the exact analysis and compare the results.
Draw an operating characteristic curve for the design in Problem 4.9. Does the test seem to be sensitive to small differences in the treatment effects?
Assuming that chemical types and bolts are fixed, estimate the model parameters ????i and ????j in Problem 4.8.
Analyze the data in Problem 4.9 using the general regression significance test.
An aluminum master alloy manufacturer produces grain refiners in ingot form. The company produces the product in four furnaces. Each furnace is known to have its own unique operating characteristics,
Consider the ratio control algorithm experiment described in Section 3.8. The experiment was actually conducted as a randomized block design, where six time periods were selected as the blocks, and
An article in Nature Genetics (2003, Vol. 34, pp. 85–90) “Treatment-Specific Changes in Gene Expression Discriminate in vivo Drug Response in Human Leukemia Cells” studied gene expression as a
An article in Communications of the ACM (Vol. 30, No.5, 1987) studied different algorithms for estimating software development costs. Six algorithms were applied to several different software
An article in the Fire Safety Journal (“The Effect of Nozzle Design on the Stability and Performance of Turbulent Water Jets,” Vol. 4, August 1981) describes an experiment in which a shape factor
The effect of three different lubricating oils on fuel economy in diesel truck engines is being studied. Fuel economy is measured using brake-specific fuel consumption after the engine has been
A consumer products company relies on direct mail marketing pieces as a major component of its advertising campaigns.The company has three different designs for a new brochure and wants to evaluate
Consider the hardness testing experiment described in Section 4.1. Suppose that the experiment was conducted as described and that the following Rockwell C-scale data (coded by subtracting 40 units)
Plot the average bacteria counts for each solution in Problem 4.9 and compare them to a scaled t distribution. What conclusions can you draw?
Plot the mean tensile strengths observed for each chemical type in Problem 4.8 and compare them to an appropriately scaled t distribution. What conclusions would you draw from this display?
Three different washing solutions are being compared to study their effectiveness in retarding bacteria growth in 5-gallon milk containers. The analysis is done in a laboratory, and only three trials
A chemist wishes to test the effect of four chemical agents on the strength of a particular type of cloth. Because there might be variability from one bolt to another, the chemist decides to use a
Consider the single-factor completely randomized experiment shown in Problem 3.8. Suppose that this experiment had been conducted in a randomized complete block design and that the sum of squares for
The ANOVA from a randomized complete block experiment output is shown below.Source DF SS MS F P Treatment 4 1010.56 ? 29.84 ?Block ? ? 64.765 ? ?Error 20 169.33 ?Total 29 1503.71(a) Fill in the
The key concept of the phrase “Block if you can, randomize if you can’t.” is that:(a) It is usually better to not randomize within blocks.(b) Blocking violates the assumption of constant
The number of blocks in the RCBD must always equal the number of treatments or factor levels.(a) True(b) False
Blocking is a technique that can be used to control the variability transmitted by uncontrolled nuisance factors in an experiment.(a) True(b) False
Suppose that a single-factor experiment with five levels of the factor has been conducted. There are three replicates and the experiment has been conducted as a complete randomized design. If the
Suppose that a single-factor experiment with four levels of the factor has been conducted. There are six replicates and the experiment has been conducted in blocks. The error sum of squares is 500
The estimate of the standard deviation of any observation in the experiment in Problem 3.70 is(a) 7.03 (b) 2.65 (c) 5.91(d) 1.95 (e) none of the above
An experiment with a single factor has been conducted as a completely randomized design and analyzed using computer software. A portion of the output is shown below.Source DF SS MS F Factor ? ? 25.69
The Tukey method is used to compare all treatment means to a control.(a) True(b) False
One advantage of the REML method of estimating variance components is that it automatically produces confidence intervals on the variance components.(a) True(b) False
The REML method of estimating variance components is a technique based on maximum likelihood, while the ANOVA method is a method-of-moments procedure.(a) True(b) False
Fisher’s LSD procedure is an extremely conservative method for comparing pairs of treatment means following an ANOVA.(a) True(b) False
If a single-factor experiment has a levels of the factor and a polynomial of degree a – 1 is fit to the experimental data, the error sum of squares for the polynomial model will be exactly the same
The analysis of variance treats both quantitative and qualitative factors alike so far as the basic computations for sums of squares are concerned.(a) True(b) False
The normality assumption is extremely important in the analysis of variance.(a) True(b) False
A textile mill has a large number of looms. Each loom is supposed to provide the same output of cloth per minute.To investigate this assumption, five looms are chosen at random, and their output is
Consider the experiment in Example 3.6. Suppose that the largest observation on etch rate is incorrectly recorded as 250 Å/min. What effect does this have on the usual analysis of variance? What
Use the Kruskal–Wallis test for the experiment in Problem 3.28. Are the results comparable to those found by the usual analysis of variance?
Use the Kruskal–Wallis test for the experiment in Problem 3.27. Compare the conclusions obtained with those from the usual analysis of variance.
Apply the general regression significance test to the experiment in Example 3.6. Show that the procedure yields the same results as the usual analysis of variance.
Consider the data shown in Problem 3.26.(a) Write out the least squares normal equations for this problem and solve them for ????̂ and ????̂i, using the usual constraint(Σ3 i=1 ̂ ????i = 0).
Four different feed rates were investigated in an experiment on a CNC machine producing a component part used in an aircraft auxiliary power unit. The manufacturing engineer in charge of the
Refer to the aluminum smelting experiment in Section 3.8.3. Verify the ANOVA for pot noise summarized in Table 3.17. Examine the usual residual plots and comment on the experimental validity.
Refer to the aluminum smelting experiment described in Section 3.8.3. Verify that ratio control methods do not affect average cell voltage. Construct a normal probability plot of the residuals. Plot
Suppose that four normal populations have means of????1 = 50, ????2 = 60, ????3 = 50, and ????4 = 60. How many observations should be taken from each population so that the probability of rejecting
Consider the experiment in Problem 3.30. If we wish to construct a 95 percent confidence interval on the difference in two mean battery lives that has an accuracy of ±2 weeks, how many batteries of
Refer to Problem 3.30.(a) If we wish to detect a maximum difference in battery life of 10 hours with a probability of at least 0.90, what sample size should be used? Discuss how you would obtain a
Refer to Problem 3.26. If we wish to detect a maximum difference in mean response times of 10 milliseconds with a probability of at least 0.90, what sample size should be used?How would you obtain a
Use Bartlett’s test to determine if the assumption of equal variances is satisfied in Problem 3.30. Use ???? = 0.05. Did you reach the same conclusion regarding equality of variances by examining
In a fixed effects experiment, suppose that there are n observations for each of the four treatments. Let Q21, Q22, Q23 be single-degree-of-freedom components for the orthogonal contrasts.Prove that
Consider testing the equality of the means of two normal populations, where the variances are unknown but are assumed to be equal. The appropriate test procedure is the pooled t-test. Show that the
Consider the single-factor random effects model discussed in this chapter. Develop a procedure for finding a 100(1 − ????) percent confidence interval on the ratio ????2∕(????2???? + ????2).
An article in the Journal of Quality Technology(Vol. 13, No. 2, 1981, pp. 111–114) describes an experiment that investigates the effects of four bleaching chemicals on pulp brightness. These four
Find a 95% confidence interval on the intraclass correlation coefficient for the experiment in Problem 3.39.
Find a 95% confidence interval on the intraclass correlation coefficient for the experiment in Problem 3.38.
A single-factor completely randomized design has six levels of the factor. There are five replicates and the total sum of squares is 900.25. The treatment sum of squares is 750.50.(a) What is the
Asingle-factor completely randomized design has four levels of the factor. There are three replicates and the total sum of squares is 330.56. The treatment sum of squares is 250.65.(a) What is the
Consider the vapor-deposition experiment described in Problem 3.36.(a) Estimate the total variability in the uniformity response.(b) How much of the total variability in the uniformity response is
An article in the Journal of the Electrochemical Society(Vol. 139, No. 2, 1992, pp. 524–532) describes an experiment to investigate the low-pressure vapor deposition of polysilicon.The experiment
Several ovens in a metal working shop are used to heat metal specimens. All the ovens are supposed to operate at the same temperature, although it is suspected that this may not be true. Three ovens
A manufacturer suspects that the batches of raw material furnished by his supplier differ significantly in calcium content. There are a large number of batches currently in the warehouse. Five of
A semiconductor manufacturer has developed three different methods for reducing particle counts on wafers. All three methods are tested on five different wafers and the after treatment particle count
An experiment was performed to investigate the effectiveness of five insulating materials. Four samples of each material were tested at an elevated voltage level to accelerate the time to failure.
Four catalysts that may affect the concentration of one component in a three-component liquid mixture are being investigated. The following concentrations are obtained from a completely randomized
Three brands of batteries are under study. It is suspected that the lives (in weeks) of the three brands are different.Five randomly selected batteries of each brand are tested with the following
Four chemists are asked to determine the percentage of methyl alcohol in a certain chemical compound. Each chemist makes three determinations, and the results are the following:Chemist Percentage of
Four different designs for a digital computer circuit are being studied to compare the amount of noise present. The following data have been obtained:Circuit Design Noise Observed 1 19 20 19 30 8 2
The effective life of insulating fluids at an accelerated load of 35 kV is being studied. Test data have been obtained for four types of fluids. The results from a completely randomized experiment
The response time in milliseconds was determined for three different types of circuits that could be used in an automatic valve shutoff mechanism. The results from a completely randomized experiment
An article in Environment International (Vol. 18, No. 4, 1992) describes an experiment in which the amount of radon released in showers was investigated. Radon-enriched water was used in the
An article in the ACI Materials Journal (Vol. 84, 1987, pp. 213–216) describes several experiments investigating the rodding of concrete to remove entrapped air. A 3-inch × 6-inch cylinder was
Reconsider the experiment from Problem 3.22. Analyze the residuals and draw conclusions about model adequacy.
Showing 1000 - 1100
of 2629
First
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
Last