The following table is given in an ANOVA test: Treatment 1 Treatment 2 Treatment 3 9 13 10 7 20 9 11 14 15 9 13 14 12 15 10 The level of significance is 0.05. Answer only the following three parts. a. How many degrees of freedom are there in the numerator? b. How many degrees of freedom are there in the
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Sum of Mean Source Squares df Square F Treatment 2 Error 20 Total 500 11 Complete the table and answer the following questions. Use the .05 significance level. a. How many treatments are there? b. What is the total sample size? c. What is the critical value of F? d. Write out the null and al
See the attached files. 1. The grouping variables are the questions regarding job security. You are testing to see if there is a mean difference of drinking behavior by their perceptions on job security. 2. The methodology and description of variables sections need to be redone. What kind two can you do with this data?
What role does Type I error play in the following scenario? Suppose you had three independent groups that were randomly selected and randomly assigned. Why would you conduct an ANOVA at p = .05 instead of conducting three two sample t tests at p = .05? Explain how cumulative Type I error might affect your decision-making.
In ANOVA analysis, what is the real meaning of the term "treatment"? What does this really mean? Provide some examples of "treatments" from a business or managerial perspective
1. If F(4,48) = 2.51, is it significant at the .05 level? .01 level? What is the total sample size? Note that F(4, 48) refers to the two different degrees of freedom for this F test. 1. 2. Study the ANOVA summary table below and provide the missing information for the cells designated a-e. 2. Source Sum of Squares df Mean
4. Choose a variable and collect data for at least three different groups (samples). 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 a value di
#1 In a drug firm, the variation in the weight of an antibiotic from batch to batch is important. With our present process, the standard deviation is 0.11 g. The research department has developed a new process that it believes will produce less variation. The following weight measurements (in grams) were obtained with
I am having a difficult time with testing the hypothesis within the data. I am able to create the two way anova table for this, however I think I am having difficulties interpreting the information from it. See Word file for questions. ? Test the hypotheses about significance of Cover main effect with 95% confidence. Rem
In this experiment we are attempting to decontaminate an aerosol sampling device. Three devices are sterilized and then collect samples of air contaminated with bacteria. Different methods of decontaminating them are then attempted. This is one of the goals of the experiment, to see if one method is superior to the other. The
1] A researcher is comparing 4 groups to test if they have the same means. There are 72 data values altogether. The degrees of freedom for the Between(dfB) and the degrees of freedom for the With-in (dfW) are? 2] If there are 3 means to be compared, then how many possible different comparisons are there altogether?
Examine the data given for the attached case. What can you infer just by a casual inspection of this data? Discuss how ANOVA could be used to answer the question posed. NOTE: You do not have to perform the actual ANOVA analysis, and you do not have to arrive at the actual answer.
The director for training at a company that manufactures electronic equipment is interested in determining whether different training methods have an effect on the productivity of assembly line employees. One of his employees who is tasked with testing this assumption randomly assigns 42 recently hired employees into two groups
You are the production manager of the Perfect Parachute Company. Parachutes are woven in your factory using a synthetic fiber purchased from one of four different suppliers. The most important outcome for parachutes is strength of the fabric. You must decide whether the synthetic fibers from your four suppliers result in parachu
A researcher wanted to investigate whether there is a significant difference in the average age of instructors, assistant professors, associate professors, and full professors at a university. The faculty was selected at random and their ages were recorded. Use the collected data to complete the ANOVA chart given below. Instr
Describe when and how an ANOVA test is useful. Give examples using any industry: Petroleum Exploration, Mineral Exploration, Manufacturing bull dozers or heavy equipment, Timber harvesting company/mill, commercial fishing, tourism, are prefered, but not necassary. Only 4 examples are needed Please identify as best as po
"Discounts and Sales" Analysis of variance tests the equality of group means simultaneously. If you reject the null hypothesis and infer that the group means are not equal, you still cannot say which particular means are not equal and which ones are. Additional tests are needed. Question Test the hypothesis that th
Random samples of 25 observations were selected from each of three populations. For these data, SSTR= 120 and SSE = 216. a. Set up the ANOVA table for this population. b. At alpha= 0.05 level of significance, can we reject the null hypothesis that the three population means are equal?
ANALYSIS OF VARIANCE (ANOVA) NOTES The F Distribution and it is also applied when we want to compare several population means simultaneously. The simultaneous comparison of several population means is called analysis of variance (ANOVA). The populations must be normal, and the data must be at least interval-scale. What are th
Week 3 Concepts and Formulas PLUS WEEK THREE SUPERSTATS In moving forward this week, we are examining the analysis of multi-populations. Specifically we are examining 2 populations and more than 2 populations. The populations we are examining this week are illustrated as: 1. Un-paired populations (Group A versus Gro
A member of the management team at Widgecorp asks if an ANOVA test would be useful for any of the statistics you've produced to date. Explain when an ANOVA test is useful. (You can find a description in the Presentation Resource for this Phase). Support your contention with three examples from your experience at other organizati
Article about UK Supermarket Employees: The hypothesis is whether or not Age, Work Experience, or Gender has more of an effect on job satisfaction. We have to come up with a null hypothesis and alternate hypothesis and do an ANOVA test to determine. The following are needed: Null Hypothesis Alternative Hypothesis Signi
One particular morning, the length of time spent in the examination room is recorded for each patient seen by each physician at an orthopedic clinic. Does the data prove a significant diference in mean times, using a=.05 Minutes in Examination rooms Physician-1- 34,25,27,31,26,34,21 Physician-2- 33,35,31,31,42,33 Phy
A sample of 25 concession stand purchases at the October 22 matinee of Bride of Chucky showed a mean purchase of $5.29 with a standard deviation of$3.02. For the October 26 evening showing of the same movie, for a sample of 25 purchases the mean was $5.12 with a standard deviation of $2.14. The means appear very close, but not t
What is the aim of multiple linear regression? Discriminate analysis? Canonical correlation? Multivariate analysis of variance?
Not sure how to set this up, or how to calculate Anova analysis. The team wants to investigate whether or not test scores are significantly related to to different teaching styles including a) lecture style, b) group learning, c) self directed and d) distance learning. 1. Use the data provided to conduct
The ANOVA summary table below is the result of a regression of sales on year of sales. Is the relationship statistically significant at .05? Comment. Source of Variation Sum of Square d.f. Mean Square F-Value Explained by regression 605,370,750 1 605,370,750 3.12 Unexplained by regression 1,551
In the following regression, x=weekly pay, Y= income tax with held, and n=35 Mc Donald's employees. A. writes the fitted regression equation. B. state the degrees of freedom for a two-tailed test for zero slope, and use to find the critical value at a =.05. C. what is your conclusion about the slope? D. Interpret the 95 pe
1) Describe the similarities between an F-ratio and a t statistic? 2) Explain why you should use ANOVA (analysis of variance) instead of several t tests to evaluate mean differences when an experiment consists of three or more treatment conditions. 3) A research study comparing three treatment conditions produced means of
A consumer organization wants to know whether there is a difference in the price of a particular toy at three different types of stores.The price of the toy was checked in a sample of five discount stores, five variety stores, and five department stores. The results are shown below. Use the .05 significance level. Discount Va