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Analysis of Variance

Descriptive Statistics One-Way ANOVA

Hone Run Distances: Use a 0.05 significance level to test the claim that the home run hit by Barry Bonds, Mark McGwire, and Sammy Sosa have mean distances that are not all the same. Do the home run distances explain the fact that as of this writing, Barry Bonds has the most home runs in one season, while Mark McGwire has the

Descriptions and Example Questions - Statistical Terms

Describe, in your own words, the following terms and give an example of each. a. Analysis of Variance b. One-way ANOVA c. Between-group variance d. Within-group variance e. Sum of squares between groups f. Sum of squares within groups g. Paired difference

The Completely Randomized Design

Problem 1: The Completely Randomized Design: One-Way analysis of Variance The following data represent the nationwide highest yield of different types of accounts: Money 6-Month 1-Year 2.5-Year 5-Year Market CD CD CD CD 4.55 4.75 4.94 4.95 5.05 4.50 4.70 4.90 4.91 5.05 4.40 4.69 4.85 4.85 5.02 4.38 4.65 4.85 4.82

Applying ANOVA to a data set

Refer to the Baseball data set, which reports information on the 30 Major League Baseball teams for the 2002 season. a.At the 0.10 significance level is there a difference in the variation in team salary among the American and National League teams? Explain b.Create a variable that classifies a team's total attendance into

ANOVA and Goodness of Fit Analysis

The data for the pitchers represent the top 50 pitchers in both leagues when selected on 5-6-2005. Perform the following analyses on the data, interpret your findings and summarize what each analysis means. 2. Goodness of Fit Analysis - Is there a diffe

Data analysis

** Please see the attached file for the complete problem description ** The data included for this assignment is the Major League Baseball (baseball.xls) data set. These hitter data were collected on 6-23-2004 and represent the top 50 hitters in Major League Baseball on that date. The data for the pitchers represent th

ANOVA, Chi square and regression analysis

11.2 One particular morning, the length of time spent in the examination rooms in recorded for each patient seen by each physician at on orthopedic clinic. Doe the data prove a significant difference in mean times? Physicians: Time in Examination Rooms (minutes) Physician 1 Physician 2 Physician 3 Physician 4 34

ANOVA for number of outpatient surgeries in Excel

1. There are three hospitals in Tulsa, Oklahoma. The following data show the number of outpatient surgeries performed per day at each hospital over the last 10 weeks. At the .05 significance level, can we conclude there is a difference in the mean number of surgeries performed by hospitals? Which hospitals are different from

Analysis of data using ANOVA

1. There are three hospitals in Tulsa, Oklahoma. The following data show the number of outpatient surgeries performed per day at each hospital over the last 10 weeks. - At the .05 significance level, can we conclude there is a difference in the mean number of surgeries performed by hospitals? - Which hospitals are differen

Multiple choice questions from ANOVA.

The calculated value of F in a one-way analysis is 8.23. The numerator degrees of freedom and denominator degrees of freedom are 4 and 8, respectively. The most accurate statement to be made about the p-value is: A) p-value > 0.05 B) 0.05 > p-value > 0.025 C) p-value > 0.01 D) 0.01 > p-val

ANOVA

1. In testing whether the means of two normal populations are equal, summary statistics computed for two independent samples are as follows: Assume that the population variances are equal. Then, the Pooled Variance is equal to: A) 0.1017 B) 1.2713 C) 0.3189 D) 1.1250 2. Two samples

ANOVA for response time

4. The County Executive for Monroe County is concerned about the response time for the three fire companies in the county. Samples of the response times (in minutes) for each company follow. At the 0.05 significance level is there a difference in the mean response time? Youngsville Northeast Corry

ANOVA for rate of return

Suppose a stock analyst wants to determine whether there is a difference in the mean rate of returns for three types of stock - utility, retail, and banking. Which parametric test would you recommend him/her to use - Z-test, t-test, F-test, ANOVA-one way design or ANOVA-two design? Why?

ANOVA: The Meaning of F = 1 and Two Sample T-Tests

In ANOVA, what does F=1 mean? What are the differences between a two sample t-test and ANOVA hypothesis testing? When would you use ANOVA at your place of employment, in your education, or in politics?

Two or More Sample Hypothesis Testing

Is there is any difference in the ROI of different economic sectors? H0: There is no significant difference in the mean ROI of different economic sectors. H1: There is significant difference in the mean ROI of different economic sectors. The test statistic used is ANOVA (F test). Decision rule: Reject the null hypothesis w

One way anova for job stress

A study report in Journal of Small Business Management (1977) concluded that self-employed individuals experience higher job stress than individuals who are not self employed. In this study job stress was assessed with a 15-item scale designed to measure various aspects of ambiguity and role conflict. Rating for each of the 15 i

One-way ANOVA

The article you choose should include the terms Job Satisfaction AND ANOVA, or Job Satisfaction AND One-Way ANOVA. Research the topic of Job Satisfaction using the Business Source Premier Database (EBSCO) and/or the ABI Inform Global database in the Library using the instructions linked here. Provide a 1 page write-up of th

ANOVA: Different Populations and the Null Hypothesis

A researcher is comparing samples from 6 different populations. Assume that the conclusion from an ANOVA is that the null hypothesis is rejected, in other words that the 6 population means are not all equal. We should expect that A) At least 1 of the comparisons of means versus would be significant B) At least 3 of the co

ANOVA and Critical Value Determination

A portion of an ANOVA summary table is shown below. Source Sum of Squares Degrees of Freedom Between 17 3 Within (error) 42 30 Total 59 The critical value for this problem should have dfN (degrees of freedom in the numerator) and dfD (degrees of freedom in the denominator) of A) dfN =

Level of significance

A company operates four machines during three shifts each day. From production records, the data in the table below were collected. At the .05 level of significance test to determine if the number of breakdowns is independent of the shift. Machine Shift A B C D 1 41 20 12 16 2 31 11 9 14 3 15 17 16 10 A. The number

Variance Analysis problem for Zurich Chocolate Company

The Zurich Chocolate Company uses standard costs and a flexible budget to control its manufacture of fine chocolates. The purchasing agent is responsible for material price variances, and the production manager is responsible for all other variances. Operating data for the past week are summarized as follows: 1. Finishe

Comprehensive Variance Analysis with Incomplete Data; Journal Entries

FAR NORTH SPORTING, LTD. CHECK FIGURE (1a) Materials price variance: $12,400 F (3) Variable overhead spending variance: $4,080 F Far North Sporting, Ltd., manufactures a premium hockey stick. The standard cost of one hockey stick is: Std. Qty or Hrs Std. Price or Rate Std. Cost Dire

Statistics - ANOVA : explained

A B C 2 9 10 3 10 12 5 5 7 10 12 8 3 7 4 5 8 3 8 9 9 Using the above data: Compare the means of the three groups using the one-way ANOVA technique. Complete the following: (16 pts) 1. Write a brief statement of purpose of the study 2. Define the population 3. State how the sample was selected 4. What

Analysis of Variance

Each year a study is conducted of children's drug, alcohol, and tobacco usage. Children in fourth, eighth, and twelfth grades are asked about their use of cigarettes, chewing tobacco, marijuana, cocaine, ecstasy, (abuse of) prescription drugs, beer, wine, and liquor. For each substance, they are asked about their use during the

ANOVA, Mean Square for Error and Mean Square for Treatments

Emma's On-the-Go, a large convenience store that makes a good deal of money from magazine sales, has three possible locations in the store for its magazine rack: in the front of the store (to attract "impulse buying" by all customers), on the left-hand side of the store (to attract teenagers who are on that side of the store loo

Variance Assumption of ANOVAs and Parametric Tests

Listed the assumptions of ANOVAs and parametric tests. Why do we need the equal variance assumption? What is the purpose and how does it relate to the tests/measurements used? What is the general rule about when violations of the equal variance assumption are likely to lead to serious inaccuracies in results?

ANOVA TEST in Megastat

Please see attachment and answer , Highlighted question. Location Number of transactions Group A Location 1 96 Group B Location 2 102 Group C Location 3 84 Group D Location 4 78 I conducted an ANOVA in the following tables. I was trying to test the best location for a bank to pilot a new type of ATM machines. I base

Respond to the following ANOVA questions

1) When do you use an analysis of variance (ANOVA)? 2) What is the within-groups population variance estimate based on? How and why is it affected by the null hypothesis being true or not? 3) What is the between-groups population variance estimate based on? How and why is it affected by the null hypothesis being true or no

Forecasting techniques for linear regression

Forecasting Techniques Deliverable Length: 1000-1500 words Details: There is debate within the production planning management team as to which forecasting technique to use. The team members want to test to see which method would be more accurate. They have assigned the new planning director to assess which of the three main f

ANOVA for Emma's On-the-Go

Emma's On-the-Go, a large convenience store that makes a good deal of money from magazine sales, has three possible locations in the store for its magazine rack: in the front of the store (to attract "impulse buying" by all customers), on the left-hand side of the store (to attract teenagers who are on that side of the store loo