I've pasted my SAS data below. If you need to use Stata or a similar program that is OK (but I would prefer SAS) 1. Write a model for this experiment 2. Conduct an analysis of variance 3. Compute the relative efficiency of the Latin square design relative to a completely randomized design. Interpret this value. Were the b
I have four categories, for instance, age, sex, zone and weight. I am asked if the average weight of the population differs among the four zones, and the sexes. I performed a one way anova test for weight and zones then another for weight and sex. Is this correct? I then performed a one way anova test of the zones versus age
The organization would like to determine if three of their territories are in fact meeting average profit margin expectations of 35% or if there is a variance depending on market region. Perform an ANOVA on the data presented in the attachment. 1) Please provide explanations during the steps 2) Show corresponding work
Enter the attached data given to you into an Excel spreadsheet, calculate the requested statistics, and answer the following questions. Data from Total Knee Replacement (TKR) patients was collected from 3 different clinics. The data that is given to you includes: Subject number, age, clinic and range of motion (ROM) measurem
An experiment is conducted to study the effects of two sales approaches - high-pressure (H) and low-pressure (L) - and to study the effects of two sales pitches (1 and 2) on the weekly sales of a product. The data (Results of the Sales Approach Experiment) in the attached table are obtained by using a completely randomized desig
Engineering Statistics 2.5 3.1 5.1 7.5 2.8 3.8 5.3 8.1 2 3 4.9 7.6 2.7 3.4 5.5 7.8 2.5 3.3 5.4 6.9 2.4 3.6 4.8
Please show me how to do problem 8.11 (I've scanned the page containing this problem). My instructor also wrote: *For part (a) use F.05 (2,90) < F.05(2,87) < F0.05 (2,60) *For part (b) t0.025 (87) = 2.2809 Of course that should really be "F- subscript - 0.05", etc but I couldn't use subscripts in this text box.
Response Time Type of Call 25.22 Fee Refund 25.01 Fee Refund 25.1 Fee Refund 24.89 Fee Refund Question 25.23 Missing Deposit Does the type of call affect the response time of the call center? 24.97 Missing Deposit Is it statistically significant? 25.07 Missing Deposit 24.81 Missing Deposit 25.18 Copy of a
In a class of 100 students, the grades by gender are shown below: A B C D F Row Total Men 7 14 28 14 7 70 Women 8 6 7 6 3 30 Column Total 15 20 35 20 10 100 Can you conclude at a 95% confidence that the grade is independent of gender? An experiment was conducted to compare the effectiveness of three
The literary styles of different authors can vary widely. In particular, one factor that may differ is the word length of sentences. Here are two (fiction) novels of reasonable length, written in English and by two different authors. Novel 1: Memoirs of a Geisha by Arthur Golden. Novel 2: The Pact by Jodi Picoult. To get
At 0.05 level of significance, is there a difference in the mean numbers of SUVs sold at the three metropolitan areas?
A new model of SUV is marketed in three major metropolitan areas. The number of vehicles sold every month at each of three store chains is listed below. Chicago Houston Miami 307 324 110 500 442 193 690 270 138 448 199 244 At 0.05 level of significance, is there a difference in
ANOVA & Students t Test for traffic and stress data. Null Hypothesis, Alternative Hypothesis, Significance Level, Critical Value, P value.
29. Samples were selected from three populations. The data obtained follow. Sample 1 Sample 2 Sample 3 93 77 88 98 87
The researcher wants to determine whether there is a relation between the type of residence owned and the level of the family income. He randomly sampled 100 homeowners and obtained the following data: Income Level Condo Townhouse Single Family Home up to 30K 15 9 3 30K-60K 9 7 7 60K-100 K
Here is the problem and I need help I am in a group and no one is helping me. I have talked to the teacher and now i have to do it by myself and turn in the assignment. I have struggling bad in this class. PLEASE HELP ME. In this regard, remember the goal will be to work through an ANOVA test to compare the means of three o
You are the engineer for a paint process. You'd like to improve the quality of the process. You have selected your response variable, which is ppm of dust. You have sixteen measurements that you take, you have 3 variables [resist thickness, develop time, and exposure]. You have two levels of each of the variables [say, lev
Critical Range for Tukey-Kramer. See attached file for full problem description. Answer The null hypothesis tested is H0: There is no significant difference in the population mean of downhill coasting speed of 4 brands of bi cycles Here one way ANOVA can be used as there is only one categorical variable b). ANOVA
Professor Brunner had students in his Marketing class rate his performance as Excellent, Good, Fair, or Poor. A graduate student collected the ratings and assured the students that Professor Brunner would not receive them until after the course grades had been submitted. The rating (the treatment) a student gave the professor wa
Earth Engineering is an environmental engineering consulting firm with more than 50 offices nationwide. Within the state of Texas, there are 5 offices; however, the focus of this problem resides with the office located in Austin. The Austin office currently houses 54 employees; however, the original office space of 10,000 square
Scenario: Surging Fuel Prices Situation: ABC Trucking Company purchased 15 trucks at the same time to start their business. 5 Trucks were purchased from Peterbilt, 5 from Freightliner, and 5 from Kenworth. All the trucks are used for long distance hauling. The cost of fuel for the first year is shown. Is there a significant
The president of a new car dealership professional association wishes to study the number of hours department heads spend on the floor of their shops weekly by department. The manager selected a sample of five department heads from each of three shops from among area dealerships. At the .05 significance level, can she conclude
1. What is the Null Hypothesis in the ANOVA test? The Alternate Hypothesis? Discuss. 2. What is the difference between a One-Way ANOVA and a Two-Way ANOVA? When do you use each?
1. What is meant by within group variance? Between group variance? How does the ANOVA procedure use these concepts? 2. What are the 6 steps to the ANOVA hypothesis test?
Conduct and interpret the appropriate analysis to determine the effect of the different teaching methods on ability to communicate.
Suppose you are interested in whether or not fluency with the English language is affected by the teaching method. You are working with a school system that has a large population of children for whom English is their second language. This school system is open to trying new teaching methods, so you set up a study where Classr
1. Group the districts based on the percent of students on welfare: "low" (less than 5 percent), "moderate" (5 up to 10 percent), and "high" (10 percent or more). Conduct a test of hypothesis to determine whether the three categories are equally represented in the sample. Use the .05 significance level. 2. Identify each distr
#4.2 The personnel manager of a large finance company wished to evaluate the effectiveness of 4 different sales-training programs designed for new employees. A group of 32 recently hired employees are randomly assigned to the 4 training programs so that there are 8 subjects in each program. At the end of the program an exam i
ANOVA One-Way Classification Or One-Factor Experiment for equal number of Observations A company wishes to test 4 different types of tires, A, B, C, D. The lifetimes of the tires, as determined from their treads, are given ( in thousands of miles ) in table below, where each type has been tried on 6 similar automobiles as
An experiment is performed to determine the yields of 5 different varieties of wheat, A, B, C, D, E. Four plots of land are assigned to each variety, and the yields (in bushels per acre) are as shown in table. Assuming the plots to be of similar fertility and that varieties are assigned at random to plots, determine if there is
Fathers recorded how many minutes per day they played with their child for 5 days. This data file contains 60 cases and three variables; a factor indicating the disability status of the child, a factor indicating the child?s gender, and a play time score averaged across 5 days.
Fathers recorded how many minutes per day they played with their child for 5 days. This data file contains 60 cases and three variables; a factor indicating the disability status of the child, a factor indicating the child?s gender, and a play time score averaged across 5 days. 5. Conduct a two-way ANOVA to evaluate differen
ANOVA: Single Factor SUMMARY Groups Count Sum Average Variance Column 1 70 29296 418.5143 2069.732 Column 2 66 26720 404.8485 1274.254 Column 3 73 29468 403.6712 938.696 ANOVA Source of Variation SS df MS F P-value F crit Between Groups 9546.877 2 4773.438 3.353505 0.036881
A DRUG IS DEVELOPED TO LOWER PULSE RATES. In order to obtain more consistent results that do not have confounding variables of gender, the drug is tested using males only. Given below are pulse rates for a placebo group, a group of men treated with Xynamine in 10 mg doses and a group of men treated with 20mg doses. Research find